Section 1 : Intro to Machine Learning

Lecture 1 What is Machine Learning copy 00:15:13 Duration
Lecture 2 Artificial Intelligence vs Machine Learning 00:06:32 Duration
Lecture 3 Examples of Apps that Use Machine Learning 00:06:06 Duration
Lecture 4 What Will You Learn
Lecture 5 Getting your Azure Subscription Ready 00:08:10 Duration

Section 2 : Intro to Python

Lecture 1 Why will we use Python 00:07:21 Duration
Lecture 2 Azure Notebooks 00:05:20 Duration
Lecture 3 Variables and Statements 00:12:55 Duration
Lecture 4 Working with Lists 00:07:42 Duration
Lecture 5 Creating Functions and Slicing Lists 00:09:52 Duration

Section 3 : Text Analytics

Lecture 1 The Text Analytics API 00:11:12 Duration
Lecture 2 Performing Sentiment Analysis 00:23:19 Duration
Lecture 3 Extracting Key Phrases from Documents 00:07:57 Duration
Lecture 4 Removing Stopwords and Other Techniques 00:14:11 Duration
Lecture 5 The Stemming Technique 00:18:55 Duration

Section 4 : Machine Learning for Spell Checking

Lecture 1 Creating a Spell Checking Service 00:06:28 Duration
Lecture 2 Using the Spell Checking Service 00:17:48 Duration
Lecture 3 Spell Checking with Context Awareness 00:06:11 Duration

Section 5 : Text and Speech Translation

Lecture 1 Text Translator Service Setup 00:09:49 Duration
Lecture 2 Implementing Text Translation 00:17:03 Duration
Lecture 3 Identifying languages 00:14:02 Duration
Lecture 4 The Speech Translator Service 00:08:03 Duration
Lecture 5 Preparing for Speech and Microphone Use 00:07:51 Duration
Lecture 6 Making Speech Translation Requests - Part 1 00:24:54 Duration
Lecture 7 Making Speech Translation Requests - Part 2 00:26:41 Duration

Section 6 : Language Understanding Intelligent Service

Lecture 1 The Language Understanding Service 00:10:28 Duration
Lecture 2 Creating Intents and Entities 00:08:31 Duration
Lecture 3 Train and Publish the Service 00:10:24 Duration
Lecture 4 Consuming the LUIS Service 00:19:47 Duration

Section 7 : Speech to Text

Lecture 1 Creating the Azure Speech Service 00:05:54 Duration
Lecture 2 Getting Text from Speech 00:14:38 Duration
Lecture 3 Issuing an Authorization Token 00:07:22 Duration
Lecture 4 Getting Audio from Text 00:08:13 Duration
Lecture 5 The Speaker Recognition Service
Lecture 6 The Verification Phrases 00:12:43 Duration
Lecture 7 Performing the Enrollment of Users - Part 1 00:11:59 Duration
Lecture 8 Performing the Enrollment of Users - Part 2 00:24:42 Duration
Lecture 9 Verifying users Getting the Verification Profile 00:13:05 Duration
Lecture 10 Verifying users Verifying thorugh audio files 00:12:56 Duration

Section 8 : Computer Vision

Lecture 1 The Computer Vision API 00:05:31 Duration
Lecture 2 Analyzing an Image 00:22:45 Duration
Lecture 3 Getting an Image Description 00:07:55 Duration
Lecture 4 Implementing Optical Character Recognition
Lecture 5 Drawing Lines in an Image 00:22:51 Duration
Lecture 6 Implementing Handrwitting Recognition 00:17:43 Duration

Section 9 : Face Detection

Lecture 1 The Face API 00:06:15 Duration
Lecture 2 Detecting Faces 00:10:02 Duration
Lecture 3 Creating a People Group 00:10:55 Duration
Lecture 4 Adding a Person to a Group 00:07:00 Duration
Lecture 5 Adding Faces to a Person 00:16:55 Duration
Lecture 6 Identifying People 00:19:08 Duration
Lecture 7 Detecting Emotion in Faces 00:04:01 Duration

Section 10 : Content Moderation

Lecture 1 Content Moderator Service 00:06:38 Duration
Lecture 2 Moderating Personal Information 00:10:19 Duration
Lecture 3 Moderating Profanity 00:12:28 Duration
Lecture 4 Moderating Images 00:14:52 Duration
Lecture 5 The Content Moderator Portal 00:07:39 Duration
Lecture 6 Creating a Moderation Workflow 00:09:53 Duration
Lecture 7 Executing a Workflow Programatically 00:07:09 Duration
Lecture 8 Getting a Job's Result

Section 11 : Video Indexer Service

Lecture 1 Setting up the Video Indexer Service 00:07:09 Duration
Lecture 2 Connecting to your Azure Subscription 00:07:33 Duration
Lecture 3 Indexing Video 00:07:58 Duration
Lecture 4 Getting Access Token for Indexing Video 00:09:15 Duration
Lecture 5 Uploading Video for Indexing 00:09:21 Duration
Lecture 6 Getting Video Index 00:08:24 Duration
Lecture 7 Getting Video Thumbnails 00:16:57 Duration
Lecture 8 Identifying People in Video 00:11:45 Duration

Section 12 : Custom Vision Service

Lecture 1 The Custom Vision Service 00:08:12 Duration
Lecture 2 Classifying Images from Custom Vision Portal 00:16:06 Duration
Lecture 3 Creating a new Custom Vision Project from Code
Lecture 4 Creating the Tags for Classification 00:07:23 Duration
Lecture 5 Uploading Images and Assigning Tags 00:15:13 Duration
Lecture 6 Training the Project Programatically 00:10:29 Duration
Lecture 7 Interation's Performance 00:08:05 Duration
Lecture 8 Predicting the Classification of an Image 00:14:54 Duration

Section 13 : Bot Services

Lecture 1 Creating the Bot Service 00:12:29 Duration
Lecture 2 Coding the Bot with Custom Vision Functionality 00:20:07 Duration
Lecture 3 Deserializing Json 00:16:21 Duration
Lecture 4 Connecting the Bot to a Channel (Facebook Messenger) 00:11:06 Duration

Section 14 : Azure Machine Learning Studio

Lecture 1 The Machine Learning Studio 00:11:30 Duration
Lecture 2 Joining Two Datasets Together 00:13:09 Duration
Lecture 3 Manipulating the Datasets 00:15:06 Duration
Lecture 4 Training the Model and Making Predictions 00:15:38 Duration
Lecture 5 Deploying the Web Service 00:10:18 Duration
Lecture 6 Testing the Web Service 00:11:54 Duration

Section 15 : Extra Information - Source code, and other stuff

Lecture 1 Source Codes
Lecture 2 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM