Section 1 : Intro to Machine Learning

Lecture 1 What is Machine Learning copy 15:13
Lecture 2 Artificial Intelligence vs Machine Learning 6:32
Lecture 3 Examples of Apps that Use Machine Learning 6:6
Lecture 4 What Will You Learn
Lecture 5 Getting your Azure Subscription Ready 8:10

Section 2 : Intro to Python

Lecture 6 Why will we use Python 7:21
Lecture 7 Azure Notebooks 5:20
Lecture 8 Variables and Statements 12:55
Lecture 9 Working with Lists 7:42
Lecture 10 Creating Functions and Slicing Lists 9:52

Section 3 : Text Analytics

Lecture 11 The Text Analytics API 11:12
Lecture 12 Performing Sentiment Analysis 23:19
Lecture 13 Extracting Key Phrases from Documents 7:57
Lecture 14 Removing Stopwords and Other Techniques 14:11
Lecture 15 The Stemming Technique 18:55

Section 4 : Machine Learning for Spell Checking

Lecture 16 Creating a Spell Checking Service 6:28
Lecture 17 Using the Spell Checking Service 17:48
Lecture 18 Spell Checking with Context Awareness 6:11

Section 5 : Text and Speech Translation

Lecture 19 Text Translator Service Setup 9:49
Lecture 20 Implementing Text Translation 17:3
Lecture 21 Identifying languages 14:2
Lecture 22 The Speech Translator Service 8:3
Lecture 23 Preparing for Speech and Microphone Use 7:51
Lecture 24 Making Speech Translation Requests - Part 1 24:54
Lecture 25 Making Speech Translation Requests - Part 2 26:41

Section 6 : Language Understanding Intelligent Service

Lecture 26 The Language Understanding Service 10:28
Lecture 27 Creating Intents and Entities 8:31
Lecture 28 Train and Publish the Service 10:24
Lecture 29 Consuming the LUIS Service 19:47

Section 7 : Speech to Text

Lecture 30 Creating the Azure Speech Service 5:54
Lecture 31 Getting Text from Speech 14:38
Lecture 32 Issuing an Authorization Token 7:22
Lecture 33 Getting Audio from Text 8:13
Lecture 34 The Speaker Recognition Service
Lecture 35 The Verification Phrases 12:43
Lecture 36 Performing the Enrollment of Users - Part 1 11:59
Lecture 37 Performing the Enrollment of Users - Part 2 24:42
Lecture 38 Verifying users Getting the Verification Profile 13:5
Lecture 39 Verifying users Verifying thorugh audio files 12:56

Section 8 : Computer Vision

Lecture 40 The Computer Vision API 5:31
Lecture 41 Analyzing an Image 22:45
Lecture 42 Getting an Image Description 7:55
Lecture 43 Implementing Optical Character Recognition
Lecture 44 Drawing Lines in an Image 22:51
Lecture 45 Implementing Handrwitting Recognition 17:43

Section 9 : Face Detection

Lecture 46 The Face API 6:15
Lecture 47 Detecting Faces 10:2
Lecture 48 Creating a People Group 10:55
Lecture 49 Adding a Person to a Group 7:0
Lecture 50 Adding Faces to a Person 16:55
Lecture 51 Identifying People 19:8
Lecture 52 Detecting Emotion in Faces 4:1

Section 10 : Content Moderation

Lecture 53 Content Moderator Service 6:38
Lecture 54 Moderating Personal Information 10:19
Lecture 55 Moderating Profanity 12:28
Lecture 56 Moderating Images 14:52
Lecture 57 The Content Moderator Portal 7:39
Lecture 58 Creating a Moderation Workflow 9:53
Lecture 59 Executing a Workflow Programatically 7:9
Lecture 60 Getting a Job's Result

Section 11 : Video Indexer Service

Lecture 61 Setting up the Video Indexer Service 7:9
Lecture 62 Connecting to your Azure Subscription 7:33
Lecture 63 Indexing Video 7:58
Lecture 64 Getting Access Token for Indexing Video 9:15
Lecture 65 Uploading Video for Indexing 9:21
Lecture 66 Getting Video Index 8:24
Lecture 67 Getting Video Thumbnails 16:57
Lecture 68 Identifying People in Video 11:45

Section 12 : Custom Vision Service

Lecture 69 The Custom Vision Service 8:12
Lecture 70 Classifying Images from Custom Vision Portal 16:6
Lecture 71 Creating a new Custom Vision Project from Code
Lecture 72 Creating the Tags for Classification 7:23
Lecture 73 Uploading Images and Assigning Tags 15:13
Lecture 74 Training the Project Programatically 10:29
Lecture 75 Interation's Performance 8:5
Lecture 76 Predicting the Classification of an Image 14:54

Section 13 : Bot Services

Lecture 77 Creating the Bot Service 12:29
Lecture 78 Coding the Bot with Custom Vision Functionality 20:7
Lecture 79 Deserializing Json 16:21
Lecture 80 Connecting the Bot to a Channel (Facebook Messenger) 11:6

Section 14 : Azure Machine Learning Studio

Lecture 81 The Machine Learning Studio 11:30
Lecture 82 Joining Two Datasets Together 13:9
Lecture 83 Manipulating the Datasets 15:6
Lecture 84 Training the Model and Making Predictions 15:38
Lecture 85 Deploying the Web Service 10:18
Lecture 86 Testing the Web Service 11:54

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

Lecture 87 Source Codes Pdf
Lecture 88 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf