Udemy - Mastering Data Science, Machine Learning, and AI

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Udemy - Mastering Data Science, Machine Learning, and AI

Torrent Contents Size: 732.4 MB

Udemy - Mastering Data Science, Machine Learning, and AI
▼ show more 28 files
1. Clustering algorithms.mp4
MP4
17 MB
1. Definition and history of artificial intelligence.mp4
MP4
18.7 MB
1. Introduction to machine learning.mp4
MP4
14.5 MB
1. Linear regression and logistic regression.mp4
MP4
13.8 MB
1. Markov decision processes.mp4
MP4
17 MB
1. Overview of statistics and probability.mp4
MP4
25 MB
1. Recap of key concepts and takeaways.mp4
MP4
13 MB
1. Sources of data and methods of collecting data.mp4
MP4
23.4 MB
1. The impact of AI on society and ethics.mp4
MP4
28.3 MB
1. Univariate and multivariate analysis.mp4
MP4
22.8 MB
1. What is data science and why is it important.mp4
MP4
14.1 MB
2. Bias in AI and its implications.mp4
MP4
15.7 MB
2. Data visualization techniques.mp4
MP4
18.3 MB
2. Decision trees and random forests.mp4
MP4
14.4 MB
2. Different types of machine learning algorithms.mp4
MP4
24.4 MB
2. Dimensionality reduction.mp4
MP4
19.5 MB
2. Introduction to regression and classification models.mp4
MP4
9.1 MB
2. Opportunities and challenges in data science, machine learning, and AI.mp4
MP4
28.2 MB
2. Q-learning.mp4
MP4
11.4 MB
2. The process of data science and its different stages.mp4
MP4
27.3 MB
2. Types of artificial intelligence and their applications.mp4
MP4
25.7 MB
2. Understanding and cleaning data.mp4
MP4
21.8 MB
3. Anomaly detection.mp4
MP4
18.1 MB
3. Dealing with missing and duplicate values.mp4
MP4
15.5 MB
3. Different fields that use data science and examples of real-world applications.mp4
MP4
26.4 MB
3. Fairness and accountability in AI.mp4
MP4
14 MB
3. Identifying relationships and patterns in data.mp4
MP4
22.2 MB
3. Natural language processing and computer vision.mp4
MP4
11 MB
3. Overfitting and regularization.mp4
MP4
9.5 MB
3. Overfitting and underfitting.mp4
MP4
16.2 MB
3. Policy gradient methods.mp4
MP4
19.3 MB
3. Suggestions for further learning and resources.mp4
MP4
23.2 MB
3. Support vector machines.mp4
MP4
9.8 MB
4. Best practices for avoiding bias in AI models.mp4
MP4
17.9 MB
4. Feature engineering and selection.mp4
MP4
20.7 MB
4. Feature scaling and normalization.mp4
MP4
9.9 MB
4. Model evaluation and selection.mp4
MP4
18.5 MB
4. Neural networks and deep learning.mp4
MP4
14 MB
4. Overview of deep learning and its applications.mp4
MP4
17.6 MB
4. Overview of the tools and techniques used in data science.mp4
MP4
25.1 MB
4. Quiz.html
HTML
204.8 B
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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