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Machine Learning with Watson and Azure

person icon Pranjal Srivastava

4.3

Machine Learning with Watson and Azure

Explore various cloud services related to ML

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Pranjal Srivastava

category icon Development,Data Science and AI ML,Machine Learning

Lectures -49

Duration -4.5 hours

4.3

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Course 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-

  1. Watson Assistant  -> Build and deploy chatbots and virtual assistants.  

  2. Watson Discovery  -> Uncover connections in data by combining automated ingestion with advanced AI functions.  

  3. Watson Speech to Text  (STT) ->Easily convert audio and voice into written text.  

  4. Watson Text to Speech (TTS)  ->Convert written text into natural-sounding audio in a variety of languages and voices.  

  5. Watson Language Translator  ->Dynamically translate news, patents or conversational documents.  

  6. Watson Natural Language Classifier  ->Interpret and classify natural language with confidence.  

  7. Watson Natural Language Understanding -> Analyze text to extract metadata from content such as concepts, entities and sentiment.  

  8. Watson Visual Recognition  ->Tag, classify and search visual content using machine learning.  

  9. Watson Tone Analyzer  ->Analyze emotions and tones in written content.  

  10. 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

Goals

What will you learn in this course:

  • 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

Prerequisites

What are the prerequisites for this course?

  • 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
Machine Learning with Watson and Azure

Curriculum

Check out the detailed breakdown of whatā€™s inside the course

Introduction with IBM Watson
3 Lectures
  • play icon Introduction 09:03 09:03
  • play icon How IBM Watson Works 12:36 12:36
  • play icon IBM Bluemix Dashboard 07:22 07:22
IBM Watson Assistant
2 Lectures
Tutorialspoint
IBM Watson Knowledge Studio
2 Lectures
Tutorialspoint
IBM Watson Language Translator
1 Lectures
Tutorialspoint
IBM Watson Discovery
2 Lectures
Tutorialspoint
IBM Watson Natural Language Classifier
2 Lectures
Tutorialspoint
IBM Watson Natural Language Understanding
2 Lectures
Tutorialspoint
IBM Watson Personality Insights
2 Lectures
Tutorialspoint
IBM Watson Speech to Text
3 Lectures
Tutorialspoint
IBM Watson Text to Speech
3 Lectures
Tutorialspoint
IBM Watson Tone Analyzer
2 Lectures
Tutorialspoint
IBM Watson Visual Recognition
3 Lectures
Tutorialspoint
Node JS Project
3 Lectures
Tutorialspoint
AZURE ML
1 Lectures
Tutorialspoint
Computer Vision
2 Lectures
Tutorialspoint
Content Moderator
4 Lectures
Tutorialspoint
Custom Vision
4 Lectures
Tutorialspoint
Text Analytics
5 Lectures
Tutorialspoint
Translator
2 Lectures
Tutorialspoint

Instructor Details

Pranjal Srivastava

Pranjal Srivastava

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