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MLA - March 2019
Course Introduction
Welcome To The Course!
The Course Modules
Prerequisites: Windows 10
Prerequisites: A Virtual Machine
Prerequisites: Visual Studio 2017 Community Edition
Get Ready To Start
Module #1: Linear Regression
Module Introduction (5:45)
In This Module...
Day #1: Single Linear Regression (19:01)
Introducing The Deedle Library
Introducing The Accord Library
Introducing Single Linear Regression
Assignment: Analyze Data With Simple Linear Regression
Day #2: Overfitting And Partitioning (12:39)
Introducing Under- And Overfitting
Introducing Data Partitioning
Assignment: Use A Validation And A Test Set
Day #3: Feature Engineering (25:33)
Introducing Feature Engineering
Assignment: Correlate And Engineer Features
Day #4: Multiple Linear Regression (8:00)
Introducing Multiple Linear Regression
Assignment: Analyze Data With Multiple Linear Regression
Day #5: Feature Crosses (13:48)
Introducing Feature Crosses
Assignment: Train Your Model Using Feature Crosses
Recap
Module #2: Classification
Module Introduction (2:23)
In This Module...
Day #1: Classification (22:43)
Introducing Classification
How To Evaluate Classifiers
The ROC, AUC, And Prediction Bias
Assignment: Analyze Data With Logistic Regression
Day #2: Regularization (11:34)
Introducing Regularization
Assignment: Regularize A Linear Model
Recap
Module #3: Deep Neural Networks
Module Introduction (1:51)
In This Module...
Day #1: Deep Neural Networks (14:36)
From Linear Regression To Neural Networks
The Architecture Of Deep Neural Networks
How To Train Deep Neural Networks
Assignment: Predict California House Prices With A Deep Neural Network
Day #2: Training Multiclass Neural Networks (12:15)
Introducing Multi-Class Neural Networks
Introducing The Pensar Library
Minibatch Training
Assignment: Recognize Handwriting With A Deep Neural Network
Day #3: Analyze Text With A Deep Neural Network (9:31)
Introducing Tokenization And Sparse Vector Encoding
Assignment: Rate Movie Reviews With A Deep Neural Network
Day #4: Dealing With Small Datasets (5:07)
Introducing K-Fold Cross-Validation
Assignment: Predict Boston House Prices With A Deep Neural Network
Recap
Module #4: Convolutional Neural Networks
Module Introduction (5:46)
In This Module...
Day #1: Convolution (21:26)
Introducing The Convolution Layer
Introducing The Pooling Layer
Assignment: Recognize Handwriting With A Convolutional Neural Network
Day #2: Data Augmentation (8:55)
Introducing Data Augmentation
Assignment: Build A Cat And Dog Classifier
Day #3: Feature Extraction And Finetuning (8:25)
Introducing Feature Extraction And Fine Tuning
Assignment: Improve The Cat And Dog Classifier
Recap
Module #5: Computer Vision
Module Introduction (6:57)
In This Module...
Day #1: Help A Self-Driving Car Detect Traffic Signs (8:27)
Assignment: Build An App That Detects Traffic Signs
Day #2: Help A Self-Driving Car Stay Centered In Its Lane (7:17)
Assignment: Build An App That Detects Lane Lines
Day #3: Help A Self-Driving Car Check If The Driver Is Alert (10:33)
Assignment: Build An App That Checks Driver Alertness
Day #4: Read Emotions From Faces (10:17)
Assignment: Build An Emotion Detector
Day #5: Track Eye Gaze In Real Time (7:21)
Assignment: Play A Breakout Game With Your Eyes
Recap
Module #6: AI In The Cloud
Module Introduction (11:22)
In This Module...
Day #1: Detect Faces In An Image (5:28)
Getting Your Trial Key For The Azure Cognitive Services
Assignment: Build A Man/Woman Detector
Day #2: Detect Celebrities In An Image (6:20)
Assignment: Build A Celebrity Finder
Day #3: Automatically Caption An Image (6:48)
Assignment: Build A Seeing Tool For The Blind
Day #4: Speech User Interfaces (8:55)
Assignment: Build A Voice-Activated Search Bot
Day #5: Conversational User Interfaces (9:01)
Train A LUIS Language Understanding Model
Assignment: Build A Scheduling Assistant
Recap
Module #7: Advanced Neural Networks
Module Introduction (5:34)
In This Module...
Day #1: One-Dimensional Convolutional Layers (15:23)
Introducing 1D-Convolution
Introducing Word Embedding
Assignment: Rate Movie Reviews With 1D-Convolution
Day #2: Long Short Term Memory Networks (17:38)
Introducing Recurrent Neural Networks
Introducing Long Short Term Memory Networks
Assignment: Rate Movie Reviews With An LSTM
Day #3: Artistic Style Transfer (13:00)
Introducing Artistic Style Transfer
Assignment: Turn A Picture Into Cubist Art
Day #4: Generative Adversarial Networks (23:38)
Introducing Up-Convolutional Networks
The Generative Adversarial Network
Assignment: Generate Pictures Of Frogs
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
Day #2: Help A Self-Driving Car Stay Centered In Its Lane
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