Udemy - Mastering Data Science, Machine Learning, and AI

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[ DevCourseWeb.com ] Udemy - Mastering Data Science, Machine Learning, and AI
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction to Data Science
    • 1. What is data science and why is it important.mp4 (14.1 MB)
    • 2. The process of data science and its different stages.mp4 (27.3 MB)
    • 3. Different fields that use data science and examples of real-world applications.mp4 (26.4 MB)
    • 4. Overview of the tools and techniques used in data science.mp4 (25.1 MB)
    10. Ethics and Bias in AI
    • 1. The impact of AI on society and ethics.mp4 (28.3 MB)
    • 2. Bias in AI and its implications.mp4 (15.7 MB)
    • 3. Fairness and accountability in AI.mp4 (14.0 MB)
    • 4. Best practices for avoiding bias in AI models.mp4 (17.9 MB)
    11. Conclusion
    • 1. Recap of key concepts and takeaways.mp4 (13.0 MB)
    • 2. Opportunities and challenges in data science, machine learning, and AI.mp4 (28.2 MB)
    • 3. Suggestions for further learning and resources.mp4 (23.2 MB)
    • 4. Quiz.html (0.2 KB)
    2. Data Collection and Preprocessing
    • 1. Sources of data and methods of collecting data.mp4 (23.4 MB)
    • 2. Understanding and cleaning data.mp4 (21.8 MB)
    • 3. Dealing with missing and duplicate values.mp4 (15.5 MB)
    • 4. Feature engineering and selection.mp4 (20.7 MB)
    3. Exploratory Data Analysis
    • 1. Univariate and multivariate analysis.mp4 (22.8 MB)
    • 2. Data visualization techniques.mp4 (18.3 MB)
    • 3. Identifying relationships and patterns in data.mp4 (22.2 MB)
    4. Statistical Modeling
    • 1. Overview of statistics and probability.mp4 (25.0 MB)
    • 2. Introduction to regression and classification models.mp4 (9.1 MB)
    • 3. Overfitting and underfitting.mp4 (16.2 MB)
    • 4. Model evaluation and selection.mp4 (18.5 MB)
    5. Machine Learning
    • 1. Introduction to machine learning.mp4 (14.5 MB)
    • 2. Different types of machine learning algorithms.mp4 (24.4 MB)
    • 3. Overfitting and regularization.mp4 (9.5 MB)
    • 4. Feature scaling and normalization.mp4 (9.9 MB)
    6. Supervised Learning
    • 1. Linear regression and logistic regression.mp4 (13.8 MB)
    • 2. Decision trees and random forests.mp4 (14.4 MB)
    • 3. Support vector machines.mp4 (9.8 MB)
    • 4. Neural networks and deep learning.mp4 (14.0 MB)
    7. Unsupervised Learning
    • 1. Clustering algorithms.mp4 (17.0 MB)
    • 2. Dimensionality reduction.mp4 (19.5 MB)
    • 3. Anomaly detection.mp4 (18.1 MB)
    8. Reinforcement Learning
    • 1. Markov decision processes.mp4 (17.0 MB)
    • 2. Q-learning.mp4 (11.4 MB)
    • 3. Policy gradient methods.mp4 (19.3 MB)
    9. Artificial Intelligence
    • 1. Definition and history of artificial intelligence.mp4 (18.7 MB)
    • 2. Types of artificial intelligence and their applications.mp4 (25.7 MB)
    • 3. Natural language processing and computer vision.mp4 (11.0 MB)
    • 4. Overview of deep learning and its applications.mp4 (17.6 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Mastering Data Science, Machine Learning, and AI



https://DevCourseWeb.com

Published 2/2023
Created by Thomas Keyt
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 40 Lectures ( 1h 48m ) | Size: 732 MB

From Beginner to Expert

What you'll learn
Introduction to Data Science
Data Collection and Preprocessing
Exploratory Data Analysis
Statistical Modeling
Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Artificial Intelligence
Ethics and Bias in AI
Conclusion

Requirements
No Programming experience needed, you will learn what you need to know



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Udemy - Mastering Data Science, Machine Learning, and AI

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732.4 MB
seeders:3
leechers:14
Udemy - Mastering Data Science, Machine Learning, and AI

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