Machine Learning with Watson and Azure
Created by Pranjal Srivastava, Last Updated 03-Jul-2020, Language:English
Machine Learning with Watson and Azure
Explore various cloud services related to ML
Created by Pranjal Srivastava, Last Updated 03-Jul-2020, Language:English
What Will I Get ?
- On completion of this course you would be able to develop and deploy your applications over IBM Cloud- Bluemix. and having command over the Watson services and tools available.
- Using Watson Visual Recognition to tag and classify visual content using machine learning
- Capabilities of the Watson API and how to choose the best features for your task
- Using Watson Assistant to build an AI assistant(ChatBot)
- Using Watson Watson Discovery to unlock hidden values to find answers , monitor trends and surface patterns
- Using Watson Natural Language Understanding for advanced text analysis
- Using Watson Knowledge Studio to discover meaningful insights in unstructured text.
- Using Watson Speech to Text to easily convert audio and voice into written text
- Using Watson Text to Speech to convert text into natural-surrounding audio
- Using Watson Language Translator to translate from one language to another
- Using Watson Natural Language Classifier to interpret and classify natural language with confidence
- Using Watson Personality Insights to predict personality characteristics through text
- Using Watson Tone Analyzer to understand emotions and communications style in text
- Text Analytics
- Detecting Language
- Analyze image and video
- Recognition handwritten from text
- Generate Thumbnail
- Content Moderator
- Custom Vision
Requirements
- Nothing required at all! but if you have a background in computer science or development, it would be beneficial, but not required at all.
- You should have Microsoft Azure account
Description
As Machine learning and cloud computing are trending topic and also have lot of job opportunities
If you have interest in machine learning as well as cloud computing then this course for you. This course will let you use your machine learning skills deploy in cloud. There are various cloud platform but only few are popular like Azure, AWS, IBM Bluemix and GCP.
You could integrate these services in your Web, Android, IoT, Desktop Applications like Face Detection, ChatBot, Voice Detection, Text to custom Speech (with pitch, emotions, etc), Speech to text, Sentimental Analysis on Social media or any textual data.
You are about to learn Machine Learning tools and techniques on IBM Bluemix (Watson) and Microsoft Azure.
Watson Services like-
Watson Assistant -> Build and deploy chatbots and virtual assistants.
Watson Discovery -> Uncover connections in data by combining automated ingestion with advanced AI functions.
Watson Speech to Text (STT) ->Easily convert audio and voice into written text.
Watson Text to Speech (TTS) ->Convert written text into natural-sounding audio in a variety of languages and voices.
Watson Language Translator ->Dynamically translate news, patents or conversational documents.
Watson Natural Language Classifier ->Interpret and classify natural language with confidence.
Watson Natural Language Understanding -> Analyze text to extract metadata from content such as concepts, entities and sentiment.
Watson Visual Recognition ->Tag, classify and search visual content using machine learning.
Watson Tone Analyzer ->Analyze emotions and tones in written content.
Watson Personality Insights -> Predict personality characteristics, needs and values through written text.
Azure services like-
1. Computer Vision
2. Content Moderator
3. Custom Vision
4. Text Analysis
5. Translator
Course Content
-
Introduction with IBM Watson
3 Lectures 00:29:01-
Introduction
Preview00:09:03 -
How IBM Watson Works
Preview00:12:36 -
IBM Bluemix Dashboard
00:07:22
-
-
IBM Watson Assistant
2 Lectures 00:16:26-
IBM Watson Assistant Overview
Preview00:04:29 -
IBM Watson Assistant Practical
00:11:57
-
-
IBM Watson Knowledge Studio
2 Lectures 00:25:41-
IBM Watson Knowledge Studio Overview
00:03:22 -
Knowledge Studio (Custom model for NLU)
00:22:19
-
-
IBM Watson Language Translator
1 Lectures 00:05:14-
IBM Watson Language Translator
00:05:14
-
-
IBM Watson Discovery
2 Lectures 00:10:27-
IBM Watson Discovery Overview
00:02:13 -
IBM Watson Discovery Practical
00:08:14
-
-
IBM Watson Natural Language Classifier
2 Lectures 00:09:21-
IBM Watson Natural Language Classifier Overview
00:02:17 -
IBM Watson Natural Language Classifier Practical
00:07:04
-
-
IBM Watson Natural Language Understanding
2 Lectures 00:13:22-
IBM Watson Natural Language Understanding Overview
00:05:51 -
IBM Watson Natural Language Understanding Practical
00:07:31
-
-
IBM Watson Personality Insights
2 Lectures 00:08:54-
IBM Watson Personality Insights Overviews
00:03:16 -
IBM Watson Personality Insights Practical
00:05:38
-
-
IBM Watson Speech to Text
3 Lectures 00:14:37-
IBM Watson Speech to Text Overview
00:04:25 -
IBM Watson Speech to Text Practical 1
00:06:29 -
IBM Watson Speech to Text Practical 2
00:03:43
-
-
IBM Watson Text to Speech
3 Lectures 00:24:34-
IBM Watson Text to Speech Overview
00:02:54 -
IBM Watson Text to Speech Practical 1
00:07:34 -
IBM Watson Text to Speech Practical 2
00:14:06
-
-
IBM Watson Tone Analyzer
2 Lectures 00:09:46-
IBM Watson Tone Analyzer Overview
00:03:20 -
IBM Watson Tone Analyzer Practical
00:06:26
-
-
IBM Watson Visual Recognition
3 Lectures 00:17:55-
IBM Watson Visual Recognition Overview
00:04:44 -
IBM Watson Visual Recognition Practical
00:10:55 -
Visual Recognisation Tool
00:02:16
-
-
Node JS Project
3 Lectures 00:12:47-
Node JS Project - Language Translation
00:02:49 -
Node JS Project - Personality Insights
00:03:06 -
Node JS Project - Visual Recognisation
00:06:52
-
-
AZURE ML
1 Lectures 00:11:36-
ml theory
00:11:36
-
-
Computer Vision
2 Lectures 00:14:37-
Computer Vision : Create Service
00:10:20 -
Computer Vision : Analyze image , text in image and generate thumbnail
00:04:17
-
-
Content Moderator
4 Lectures 00:18:05-
Content Moderator:Text Moderation
00:08:11 -
Content Moderator:Image and Video Moderation
00:05:37 -
Content Moderator : Explore Dashboard
00:01:03 -
Content Moderator : Create Instance
00:03:14
-
-
Custom Vision
4 Lectures 00:12:04-
Custom Vision : Create project
00:03:55 -
Custom Vision : Upload Image and add tags
00:04:05 -
Custom Vision : Train model and predict unlabeled image
00:03:10 -
Custom Vision : Delete Resource
00:00:54
-
-
Text Analytics
5 Lectures 00:19:16-
Text Analytics :Create Service
00:02:36 -
Text Analytics :Language Detection
00:05:16 -
Text Analytics :Sentiment Analysis
00:04:33 -
Text Analytics :Key Phrase Extraction
00:02:54 -
Text Analytics :Entity Recognition
00:03:57
-
-
Translator
2 Lectures 00:11:57-
Translate :Creating Service
00:02:33 -
Translate :Deploy
00:09:24
-

Pranjal Srivastava
SME of AWS & IBM Cloud
I am passionate developer, machine learning enthusiast, coder and bug fixer. Developed many applications on various platforms including python, java, android, php, etc.
I have worked over cloud on IBM Bluemix, AWS, and Microsoft Azure. Prefer digital marketing and SEO in my free time.
I am IBM certified Python developer.
Created own Programming language in Hindi .
#ILoveIndia
#LoveOpenSource #SmartProgrammer