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Genre: eLearning
Learn to pass the AWS ML Certification Part 2
00:00 Intro
01:56 Artificial intelligence, machine learning, and deep learning.
02:34 Artificial Intelligence
03:10 Machine Learning
03:58 Deep learning
05:11 ML and technology advancements
06:00 Common ML Use Cases
08:14 Types of machine learning
09:21 Supervized learning
10:17 Computer vision
11:08 Unsupervized learning
12:44 Natural language processing
13:20 Reinforcement learning
14:34 Self-driving vehicles
15:04 When to use machine learning
15:35 ML pipeline: Business
16:23 ML pipeline: Data preparation
17:22 ML pipeline: Iterative model training
18:01 ML pipeline: Feature Engineering
19:25 ML pipeline: Model Training
20:18 ML pipeline: Evaluating and tuning the model
21:00 Overfitting and underfitting
22:48 Python tools and libraries
24:57 ML Frameworks
25:50 Amazon SageMaker
26:42 Machine learning managed services
28:30 Machine learning challenges
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