This is the first lecture of the series entitled “Machine Learning with TensorFlow & Scikit-learn”, we will introduce what Machine Learning is, along with many of its useful applications and use cases. This lecture is outlined as follows:

00:00:00​ Introduction
00:00:19​ What is Machine Learning ?
00:06:05​ Why Machine Learning ?
00:15:07​ AlphaZero AI
00:16:24​ Types of Machine Learning
00:16:53​ Supervised Learning
00:18:39​ Unsupervised Learning
00:26:15​ Semi-supervised Learning
00:28:14​ Reinforcement Learning
00:29:46​ epsilon-Learning on the fly
00:30:09​ Batch Learning
00:31:36​ Online Learning
00:35:04​ Instance-based Learning
00:36:05​ Model-based Learning
00:36:14​ Does Money make people happy ?
00:41:04​ What could go wrong ?
00:51:29​ Feature Engineering
00:52:33​ Overfitting
00:54:04​ Sampling Noise
00:56:26​ Regularization
01:01:17​ Testing & Validating
01:06:41​ Outro

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#machine-learning #tensorflow #python