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Machine Learning and Data Science Developer Certification Program
Module 1: Introduction to Machine Learning
READING: Intro to Machine Learning for Managers (Read Pages 1-12)
READING: Jeff Dean Rice Talk - State of Artificial Intelligence (Read entire document) (Dated but useful)
Segment - 01 - Introduction to Machine Learning (53:10)
Segment - 02 - Lab 1 (8:23)
Segment - 03 - Lab 2a (1:52)
Segment - 04 - Pandas (35:26)
Segment - 05 - Exploring Pandas (9:10)
Segment - 06 - Lab 2b (2:07)
Segment - 07 - Lab 2c (1:48)
Segment - 08 - Visualization (18:42)
Segment - 09 - Lab 2d (1:30)
Segment - 10 - Visualization Stats (13:24)
Segment - 11 - Lab 3a (3:29)
Segment - 12 - Sklearn (29:55)
Segment - 13 - Lab 3b (1:38)
Segment - 14 - Linear Regression (12:50)
Segment - 15 - Multivariate Linear Regression (7:16)
Segment - 16 - Logistic Regression (22:21)
Analytics-comes-of-age-Mckinsey
Module 2: Exploring and Using Data Sets
Segment - 17 - Classification (Support Vector Machines) (21:19)
Segment - 18 - Classification (Naive Bayes) (27:41)
Segment - 19 - Lab 1a and 1b (2:38)
Module 3: Review of Machine Learning Algorithms
Segment - 20 - Decision Trees (27:02)
Segment - 21 - Random Forests (13:21)
Segment - 22 - Lab 2a and 2b (2:58)
Segment - 23 - Lab 2c (2:42)
Segment - 24 - Clustering (26:36)
Segment - 25 - Principle Component Analysis (20:59)
Segment - 26 - Lab 3a and 3b (3:52)
Segment - 27 - Lab-3c (Principal Component Analysis) (4:21)
Module 4: Machine Learning with Scikit
Segment - 28 - Deep Learning Introduction (20:36)
Segment - 29 - Lab 1a - TensorFlow Playground (3:20)
Segment - 30 - TensorFlow Introduction (9:17)
Segment - 31 - Lab 1b - TensorFlow Sessions (1:24)
Segment - 32 - TensorFlow Low Level API (14:14)
Segment - 33 - TensorFlow Linear Models (34:18)
Segment - 34 - Lab 2a and 2b (2:22)
Segment - 35 - TensorFlow High Level API (14:52)
Segment - 36 - Lab 2c and 2d (2:15)
Segment - 37 - Lab 3a (1:51)
Segment - 38 - Lab 3b and 3c (2:57)
Segment - 39 - Lab 3d and 3e (4:32)
Segment - 40 - Multilayer Perceptron (MLP) (21:45)
Module 5: Deep Learning with Keras and TensorFlow
Segment - 41 - Convolutional Neural Network (33:30)
Segment - 42 - Convolutional Neural Network Extended (20:45)
Segment - 43 - TensorBoard Visualizing Learning (10:03)
Module 6: Deeper Understanding of Tensorflow
Segment - 44 - Transfer Learning (15:51)
Segment - 45 - Recurrent Neural Network (29:30)
Segment - 46 - Long Short Term Memory (LSTM) (34:50)
Module 7: Building a Machine Learning Pipeline
Segment - 47 - Scaling Machine Learning Distributed TensorFlow (31:33)
Segment - 48 - Feature Engineering (25:19)
Segment - 49 - Pipeline Examples (3:48)
Quizzes
Overview
Quiz One
Quiz Two
Quiz Three
Quiz Four
Quiz Five
Quiz Six
Labs
Module One
Module Two
Module Three
Module Four
Module Five
Module Six
Segment - 17 - Classification (Support Vector Machines)
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