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MLA - November 2018
Course Introduction
Welcome To The Course! (23:18)
Q&A Dates And Times
The Course Modules
Prerequisites: Windows 10
Prerequisites: A Virtual Machine
Prerequisites: Visual Studio 2017 Community Edition
Who Won The Bonuses?
Get Ready To Start
Module #1: Linear Regression
Introduction
Q&A: Linear Regression (12:55)
Introducing The Deedle Library
Introducing The Accord Library
Single Linear Regression
Day #1 Assignment: Analyze Data With Simple Linear Regression
Q&A: Overfitting And Partitioning (41:24)
Under- And Overfitting
Partitioning Data
Day #2 Assignment: Use A Validation And A Test Set
Feature Engineering
Day #3 Assignment: Correlate And Engineer Features
Q&A: Feature Engineering And Multiple Linear Regression (46:25)
Multiple Linear Regression
Day #4 Assignment: Analyze Data With Multiple Linear Regression
Q&A: Multiple Linear Regression And Feature Crosses (35:36)
Feature Crosses
Day #5 Assignment: Train Your Model Using Feature Crosses
Recap
Module #2: Logistic Regression
Introduction
Introduction To Logistic Regression
Evaluating Logistic Models
ROC, AUC, And Prediction Bias
Day #1 Assignment: Analyze Data With Logistic Regression
Q&A: Logistic Regression And Regularization (44:11)
Stabilize Training With Regularization
Day #2 Assignment: Regularize A Linear Model
Recap
Module #3: Deep Neural Networks
Introduction
From Linear Regression To Neural Networks
Introducing Deep Neural Networks
Training Neural Networks
Day #1 Assignment: Analyze Data With A Neural Network
Q&A: Single- And Multi-Class Neural Networks (50:06)
Multi-Class Neural Networks
Introducing The Pensar Library
Minibatch Training
Day #2 Assignment: Recognize Handwriting With A Neural Network
Q&A: Recognize Handwriting And Tokenize Text With A Neural Network (30:57)
Tokenizing Text With Neural Networks
Day #3 Assignment: Rating Movie Reviews With A Neural Network
K-Fold Cross-Validation
Day #4 Assignment: Analyze Boston Houses With A Neural Network
Recap
Module #4: Convolutional Neural Networks
Introduction
Q&A: Convolutional Neural Networks (38:00)
The Convolution Network Layer
Pooling Layers In Convolutional Neural Networks
Day #1 Assignment: Recognize Handwriting With A CNN
Data Augmentation
Day #2 Assignment: Build A Cat And Dog Classifier
Feature Extraction And Fine Tuning
Day #3 Assignment: Reuse The VGG16 Network
Recap
Module #5: Computer Vision
Introduction
Q&A: Help A Self-Driving Car Detect Traffic Signs (36:57)
Day #1 Assignment: Help A Self-Driving Car Detect Traffic Signs
Q&A: Help A Self-Driving Car Detect Traffic Signs And Lane Lines (37:36)
Day #2 Assignment: Help A Self-Driving Car Stay Centered In Its Lane
Day #3 Assignment: Check If The Driver Is Alert
Q&A: Build An Emotion Detector (40:09)
Day #4 Assignment: Build An Emotion Detector
Q&A: Play A Breakout Game With Your Eyes (33:18)
Day #5 Assignment: Play A Breakout Game With Your Eyes
Recap
Module #6: AI In The Cloud
Introduction
Q&A: Introducing AI In The Cloud (51:13)
Getting Your Trial Key For The Azure Cognitive Services
Day #1 Assignment: Detect Men And Women In An Image
Day #2 Assignment: Detect Celebrities In An Image
Q&A: Create A Seeing Tool For The Blind (41:48)
Day #3 Assignment: Create A Seeing Tool For The Blind
Q&A: Build A Voice-Activated Search Bot (46:06)
Day #4 Assignment: Build A Voice-Activated Search Bot
Train A LUIS Language Understanding Model
Day #5 Assignment: Build A Scheduling Assistant
Recap
Module #7: Advanced Neural Networks
Introduction
Q&A: Introducing Advanced Neural Networks (52:31)
One-Dimensional Convolutional Layers
Word Embedding
Day #1 Assignment: Rate Movie Reviews With A 1D-ConvNet
Recurrent Neural Networks
Long Short Term Memory Networks
Day #2 Assignment: Rate Movie Reviews With An LSTM
Q&A: Style Transfer (39:39)
Style Transfer
Day #3 Assignment: Turn Your Photo Into Cubist Art
Up-Convolutional Networks
Q&A: Generative Adversarial Networks (60:58)
Generative Adversarial Networks
Day #4 Assignment: Build A Generative Adversarial Network
Recap
Module #8: Jumpstart Your Career
Introduction
Q&A: Jumpstart Your Career (45:26)
Improve Your Linkedin Profile
Launch Your Github Repository
Beef Up Your Resume
Become Aware Of Your Strengths And Weaknesses
Join The Brilliant Forge Career Accelerator Program
Learn How To Delegate
Recap
In Conclusion
Q&A: Course Recap (33:13)
Course Recap
Q&A: Recognize Handwriting And Tokenize Text With A Neural Network
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