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962.3 KB
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1 - Chapter 1. Learning math with code.mp4
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MP4
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51 MB
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1
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496.1 KB
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3
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251 KB
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4
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518.2 KB
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5
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26.3 KB
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6
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152.1 KB
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10 - Chapter 2. Subtraction, displacement, and distance.mp4
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MP4
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74 MB
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100 - Chapter 14. Exploring spaces of functions.mp4
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MP4
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46.8 MB
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101 - Chapter 14. Finding the line of best fit using gradient descent.mp4
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MP4
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47.1 MB
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102 - Chapter 14. Fitting a nonlinear function.mp4
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MP4
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76.5 MB
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103 - Chapter 15. Classifying data with logistic regression.mp4
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MP4
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37.3 MB
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104 - Chapter 15. Testing a classification function on real data.mp4
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MP4
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41.1 MB
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105 - Chapter 15. Picturing a decision boundary.mp4
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MP4
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45.6 MB
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106 - Chapter 15. Framing classification as a regression problem.mp4
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MP4
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49.7 MB
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107 - Chapter 15. Introducing the sigmoid function.mp4
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MP4
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39.7 MB
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108 - Chapter 15. Exploring possible logistic functions.mp4
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MP4
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36.2 MB
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109 - Chapter 15. Measuring the quality of fit for a logistic function.mp4
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MP4
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61.4 MB
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11 - Chapter 2. Angles and trigonometry in the plane.mp4
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MP4
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51.2 MB
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110 - Chapter 15. Finding the best logistic function.mp4
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MP4
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37.5 MB
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111 - Chapter 15. Testing and understanding the best logistic classifier.mp4
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MP4
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71.9 MB
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112 - Chapter 16. Training neural networks.mp4
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MP4
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53.4 MB
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113 - Chapter 16. Classifying images of handwritten digits.mp4
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MP4
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48.1 MB
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114 - Chapter 16. Designing a neural network.mp4
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MP4
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48 MB
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115 - Chapter 16. Calculating activations.mp4
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MP4
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53.9 MB
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116 - Chapter 16. Building a neural network in Python.mp4
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MP4
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57.9 MB
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117 - Chapter 16. Training a neural network using gradient descent.mp4
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MP4
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44.2 MB
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118 - Chapter 16. Automatic training with scikit-learn.mp4
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MP4
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30.8 MB
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119 - Chapter 16. Calculating gradients with backpropagation.mp4
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MP4
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71.5 MB
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12 - Chapter 2. From components back to angles.mp4
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MP4
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54.7 MB
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120 - Appendix B. Python tips and tricks.mp4
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MP4
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33.9 MB
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121 - Appendix B. Collections of data in Python.mp4
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MP4
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39.9 MB
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122 - Appendix B. Generators.mp4
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MP4
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39.6 MB
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123 - Appendix B. Working with functions.mp4
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MP4
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47.2 MB
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124 - Appendix B. Plotting data with Matplotlib.mp4
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MP4
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29.7 MB
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125 - Appendix B. Object-oriented programming in Python.mp4
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MP4
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26.4 MB
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126 - Appendix B. Operator overloading.mp4
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MP4
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28.5 MB
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13 - Chapter 2. Transforming collections of vectors.mp4
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MP4
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67.1 MB
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14 - Chapter 3. Ascending to the 3D world.mp4
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MP4
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55.7 MB
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15 - Chapter 3. Vector arithmetic in 3D.mp4
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MP4
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39.6 MB
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16 - Chapter 3. Computing angles and directions.mp4
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MP4
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39.2 MB
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17 - Chapter 3. The dot product - Measuring vector alignment.mp4
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MP4
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44 MB
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18 - Chapter 3. Measuring angles with the dot product.mp4
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MP4
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47 MB
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19 - Chapter 3. The cross product - Measuring oriented area.mp4
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MP4
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39.1 MB
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2 - Chapter 1. Finding a good deal.mp4
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MP4
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59.5 MB
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20 - Chapter 3. Finding the length of the cross product.mp4
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MP4
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53.9 MB
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21 - Chapter 3. Rendering a 3D object in 2D.mp4
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MP4
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54.7 MB
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22 - Chapter 4. Transforming vectors and graphics.mp4
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MP4
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48.8 MB
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23 - Chapter 4. Composing vector transformations.mp4
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MP4
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29.9 MB
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24 - Chapter 4. Rotating an object about an axis.mp4
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MP4
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53 MB
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25 - Chapter 4. Linear transformations.mp4
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MP4
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38.2 MB
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26 - Chapter 4. Why linear transformations.mp4
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MP4
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64.3 MB
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27 - Chapter 4. Exercises.mp4
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MP4
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59.3 MB
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28 - Chapter 5. Computing transformations with matrices.mp4
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MP4
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34.3 MB
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29 - Chapter 5. Multiplying a matrix with a vector.mp4
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MP4
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57.4 MB
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3 - Chapter 1. Modeling the physical world.mp4
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MP4
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31.6 MB
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30 - Chapter 5. Implementing matrix multiplication.mp4
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MP4
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60.8 MB
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31 - Chapter 5. Interpreting matrices of different shapes.mp4
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MP4
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39.1 MB
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32 - Chapter 5. Viewing square and non-square matrices as vector functions.mp4
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MP4
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48.2 MB
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33 - Chapter 5. Composing linear maps.mp4
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MP4
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43.6 MB
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34 - Chapter 5. Translating vectors with matrices.mp4
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MP4
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42.5 MB
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35 - Chapter 5. Translating 3D objects in a 4D world.mp4
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MP4
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72 MB
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37 - Chapter 6. Improving the Vec2 class.mp4
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MP4
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27.2 MB
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38 - Chapter 6. Building a vector base class.mp4
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MP4
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49.8 MB
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39 - Chapter 6. Unit testing vector space classes.mp4
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MP4
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32 MB
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4 - Chapter 1. How not to learn math.mp4
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MP4
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46.6 MB
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40 - Chapter 6. Exploring different vector spaces.mp4
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MP4
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39.5 MB
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41 - Chapter 6. Treating functions as vectors.mp4
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MP4
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41 MB
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42 - Chapter 6. Manipulating images with vector operations.mp4
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MP4
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47.9 MB
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43 - Chapter 6. Looking for smaller vector spaces.mp4
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MP4
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38 MB
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44 - Chapter 6. Spanning a bigger space.mp4
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MP4
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43.5 MB
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45 - Chapter 6. Finding subspaces of the vector space of functions.mp4
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MP4
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47.3 MB
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46 - Chapter 6. Exercises.mp4
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MP4
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52.7 MB
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47 - Chapter 7. Solving systems of linear equations.mp4
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MP4
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56.3 MB
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48 - Chapter 7. Finding intersection points of lines.mp4
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MP4
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66.7 MB
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49 - Chapter 7. Linear equations in matrix notation.mp4
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MP4
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39 MB
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5 - Chapter 1. Using your well-trained left brain.mp4
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MP4
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71.6 MB
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50 - Chapter 7. Identifying unsolvable systems.mp4
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MP4
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43.3 MB
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51 - Chapter 7. Generalizing linear equations to higher dimensions.mp4
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MP4
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41.4 MB
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52 - Chapter 7. Studying hyperplanes algebraically.mp4
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MP4
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73.5 MB
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53 - Chapter 7. Exercises.mp4
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MP4
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35.8 MB
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54 - Chapter 7. Changing basis by solving linear equations.mp4
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MP4
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79.1 MB
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55 - Part 2. Calculus and physical simulation.mp4
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MP4
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31.4 MB
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56 - Chapter 8. Understanding rates of change.mp4
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MP4
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56.7 MB
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57 - Chapter 8. Plotting the average flow rate over time.mp4
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MP4
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34 MB
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58 - Chapter 8. Approximating instantaneous flow rates.mp4
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MP4
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58.5 MB
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59 - Chapter 8. Approximating the change in volume.mp4
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MP4
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49.5 MB
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6 - Part 1. Vectors and graphics.mp4
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MP4
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23 MB
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7 - Chapter 2. Drawing with 2D vectors.mp4
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MP4
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45.7 MB
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7
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378.5 KB
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8 - Chapter 2. 2D drawing in Python.mp4
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MP4
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30.1 MB
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8
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532.1 KB
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9
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903 KB
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9 - Chapter 2. Plane vector arithmetic.mp4
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MP4
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55 MB
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10
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299.7 KB
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11
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746.3 KB
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12
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355.3 KB
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13
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814.8 KB
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14
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130.9 KB
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15
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344.1 KB
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16
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577.1 KB
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17
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188.7 KB
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18
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384.3 KB
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19
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491.5 KB
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20
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741.9 KB
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21
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537.9 KB
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22
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143.5 KB
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23
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430.3 KB
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24
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619.4 KB
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25
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963.9 KB
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26
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326.1 KB
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27
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702.9 KB
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28
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323.3 KB
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29
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898.9 KB
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30
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27.2 KB
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31
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333.4 KB
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32
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353 KB
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33
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96.9 KB
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34
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100.1 KB
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35
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570 KB
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37
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312.7 KB
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38
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777.3 KB
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39
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985.2 KB
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40
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369.1 KB
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41
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821.3 KB
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42
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891.2 KB
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43
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170.5 KB
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44
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338.9 KB
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45
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545.5 KB
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46
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729.7 KB
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47
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238 KB
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48
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787.8 KB
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49
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952.9 KB
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50
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975.5 KB
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51
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140.7 KB
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52
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562.9 KB
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53
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696.4 KB
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54
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811.2 KB
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55
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932.8 KB
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57
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124.5 KB
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58
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176.2 KB
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59
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381.8 KB
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60
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328.2 KB
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60 - Chapter 8. Plotting the volume over time.mp4
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38.7 MB
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61 - Chapter 8. Improving the approximation.mp4
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43.9 MB
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61
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420.5 KB
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62
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970.4 KB
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62 - Chapter 9. Simulating moving objects.mp4
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60.6 MB
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63 - Chapter 9. Simulating acceleration.mp4
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31.8 MB
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63
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112.7 KB
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64
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451.2 KB
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64 - Chapter 9. Digging deeper into Euler’s method.mp4
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34.3 MB
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65 - Chapter 9. Running Euler’s method with smaller time steps.mp4
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MP4
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40.4 MB
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65
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800.8 KB
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66 - Chapter 10. Working with symbolic expressions.mp4
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44.9 MB
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66
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818.3 KB
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67 - Chapter 10. Modeling algebraic expressions.mp4
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63.2 MB
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67
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21 KB
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68
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65.5 KB
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68 - Chapter 10. Putting a symbolic expression to work.mp4
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55.1 MB
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69
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445.5 KB
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69 - Chapter 10. Expanding an expression.mp4
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MP4
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40.2 MB
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70 - Chapter 10. Finding the derivative of a function.mp4
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MP4
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38.3 MB
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70
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560.6 KB
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71
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688.6 KB
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71 - Chapter 10. Derivatives of some special functions.mp4
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43.3 MB
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72
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691.1 KB
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72 - Chapter 10. Taking derivatives automatically.mp4
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MP4
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61.7 MB
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73 - Chapter 10. Integrating functions symbolically.mp4
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MP4
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37.8 MB
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73
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469 KB
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74
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357.8 KB
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74 - Chapter 11. Simulating force fields.mp4
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44.6 MB
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75
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586.8 KB
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75 - Chapter 11. Modeling gravitational fields.mp4
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MP4
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26.4 MB
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76 - Chapter 11. Adding gravity to the asteroid game.mp4
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MP4
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41.7 MB
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76
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875.1 KB
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77
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46.7 KB
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77 - Chapter 11. Introducing potential energy.mp4
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36.8 MB
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78
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540.1 KB
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78 - Chapter 11. Connecting energy and forces with the gradient.mp4
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MP4
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47.5 MB
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79
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580.6 KB
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79 - Chapter 11. Finding the steepness of a graph with the gradient.mp4
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MP4
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73.8 MB
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80
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866.9 KB
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80 - Chapter 12. Optimizing a physical system.mp4
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37.1 MB
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81 - Chapter 12. Testing a projectile simulation.mp4
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50.2 MB
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81
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91.1 KB
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82
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164.3 KB
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82 - Chapter 12. Calculating the optimal range.mp4
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45.1 MB
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83
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257 KB
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83 - Chapter 12. Solving for the maximum range.mp4
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46.9 MB
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84
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412 KB
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84 - Chapter 12. Enhancing our simulation.mp4
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32.6 MB
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85
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424.4 KB
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85 - Chapter 12. Solving for the range of the projectile in 3D.mp4
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MP4
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49.3 MB
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86
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506.5 KB
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86 - Chapter 12. Optimizing range using gradient ascent.mp4
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50.1 MB
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87
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819.2 KB
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87 - Chapter 12. Implementing gradient ascent.mp4
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57.1 MB
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88 - Chapter 13. Analyzing sound waves with a Fourier series.mp4
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MP4
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38.3 MB
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88
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939.2 KB
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89
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939.9 KB
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89 - Chapter 13. Playing sound waves in Python.mp4
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63.7 MB
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90
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999.1 KB
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90 - Chapter 13. Turning a sinusoidal wave into a sound.mp4
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62.9 MB
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91 - Chapter 13. Combining sound waves to make new ones.mp4
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30.3 MB
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91
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285.4 KB
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92 - Chapter 13. Building a linear combination of sinusoids.mp4
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37.9 MB
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92
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665.7 KB
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93
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711 KB
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93 - Chapter 13. Decomposing a sound wave into its Fourier series.mp4
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40.5 MB
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94
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813.5 KB
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94 - Chapter 13. Defining an inner product for periodic functions.mp4
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MP4
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50.6 MB
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95
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991.1 KB
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95 - Chapter 13. Fourier coefficients for other waveforms.mp4
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57.6 MB
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96 - Part 3. Machine learning applications.mp4
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MP4
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26.1 MB
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96
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117.8 KB
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97 - Chapter 14. Fitting functions to data.mp4
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44.2 MB
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97
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169.4 KB
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98
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494.3 KB
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98 - Chapter 14. Measuring the quality of fit for a function.mp4
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MP4
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39.8 MB
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99 - Chapter 14. Calculating cost for car price functions.mp4
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MP4
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29.7 MB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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99
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708.4 KB
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100
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878.1 KB
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101
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251.3 KB
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102
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103
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185.9 KB
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104
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721.3 KB
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105
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106
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13.6 KB
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107
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108
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451 KB
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109
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27 KB
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110
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167.3 KB
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111
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458.1 KB
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112
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648.5 KB
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113
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240.1 KB
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114
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681.8 KB
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115
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116
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108.7 KB
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117
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273.6 KB
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118
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119
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526.6 KB
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120
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