Machine Learning with IBM Watson & Amazon Web Services
Created by Pranjal Srivastava, Last Updated 23-Jun-2020, Language:English
Machine Learning with IBM Watson & Amazon Web Services
Cognitive App Development with IBM Watson & AWS Machine Learning
Created by Pranjal Srivastava, Last Updated 23-Jun-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 as well as AWS Cloud. and having command over the Watson services, AWS CLI and tools available.
- Amazon Sagemaker to build, train, and deploy machine learning models at scale
- 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)
- Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
- Using Watson Watson Discovery to unlock hidden values to find answers , monitor trends and surface patterns
- Using Watson Natural Language Understanding and Amazon Comprehend for advanced text analysis
- Using Watson Knowledge Studio to discover meaningful insights in unstructured text.
- Using Watson Speech to Text and Amazon Transcribe to easily convert audio and voice into written text
- Using Watson Text to Speech and Amazon Polly to convert text into natural-surrounding audio
- Using Watson Language Translator and Amazon Translate 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
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.
- IBM Bluemix and AWS account
Description
In this course we will learn and practice all the services of IBM Watson and AWS ML tools which is being offered by IBM Bluemix and AWS Cloud respectively. There will be both theoretical and practical section of each IBM Watson and AWS ML services.This course is for those who loves machine learning and wanted to build application based on cognitive computing , AI and ML.
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.
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.
Machine Learning Services like-
Amazon Sagemaker to build, train, and deploy machine learning models at scale
Amazon Comprehend for natural Language processing and text analytics
Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
Amazon Polly to turn text into lifelike speech using deep learning
Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
Amazon Transcribe for automatic speech recognition
Amazon Translate for natural and accurate language translation
and many more thing
Course Content
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IBM Watson
3 Lectures 00:29:01-
Introduction
Preview00:09:03 -
How IBM Watson Works
Preview00:12:36 -
IBM Bluemix Dashboard
00:07:22
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IBM Watson Assistant
2 Lectures 00:16:26-
IBM Watson Assistant Overview
Preview00:04:29 -
IBM Watson Assistant Practical
00:11:57
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IBM Watson Discovery
2 Lectures 00:10:27-
IBM Watson Discovery Overview
00:02:13 -
IBM Watson Discovery Practical
00:08:14
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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
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IBM Watson Language Translator
1 Lectures 00:05:14-
IBM Watson Language Translator Overview and Practical
00:05:14
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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
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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
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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
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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
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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
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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
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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
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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
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AWS AI
1 Lectures 00:10:11-
Introduction
Preview00:10:11
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Amazon Comprehend
5 Lectures 00:20:12-
Amazon Comprehend(Overview)
00:07:24 -
PRACTICAL : Comprehend
00:05:54 -
(PythonBoto3)Comprehend 1
00:02:04 -
(PythonBoto3)Comprehend 2
00:01:54 -
(PythonBoto3)Comprehend 3
00:02:56
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Amazon Lex and Amazon Polly
6 Lectures 00:46:29-
Amazon Lex
00:08:05 -
Amazon Lex(2)
00:07:06 -
Amazon Polly(Overview)
00:06:57 -
Practical:Chatbot using Amazon Lex
00:11:54 -
PRACTICAL : Polly
00:09:56 -
(PythonBoto3)Polly
00:02:31
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Amazon Recognition
17 Lectures 00:51:30-
Amazon Recognition
00:06:12 -
Object and scene detection(Overview)
00:03:33 -
PRACTICAL : Object and Scene Detection
00:02:45 -
(PythonBoto3)Detect Label
00:02:38 -
Facial analysis(Overview)
00:03:31 -
PRACTICAL : Facial Analysis
00:04:38 -
(PythonBoto3)Detect Face
00:02:00 -
Celebrity recognition(Overview)
00:02:42 -
PRACTICAL : Celebrity Recognition
00:01:36 -
(PythonBoto3)Celebrity Recognition
00:03:00 -
Face comparison(Overview)
00:02:39 -
PRACTICAL : Face Comparison
00:02:30 -
(PythonBoto3)Face Comparison
00:02:13 -
Text in image(Overview)
00:03:18 -
Text in image(Practical)
00:01:18 -
(PythonBoto3)Detect Text in Image
00:04:39 -
Visual Analysis
00:02:18
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Amazon Transcribe and Translate
6 Lectures 00:32:55-
Amazon Translate(Overview)
00:04:12 -
Amazon Transcribe(Overview)
00:06:12 -
PRACTICAL : Transcribe
00:10:11 -
PRACTICAL : Translate
00:03:22 -
(PythonBoto3)Translate
00:02:09 -
(PythonBoto3)Transcribe
00:06:49
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Amazon SageMaker and AWS DeepLens
2 Lectures 00:15:26-
Amazon SageMaker
00:09:49 -
AWS DeepLens
00:05:37
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Amazon Machine Learning
5 Lectures 00:23:29-
ML 1 -Prepare Your Data
00:02:02 -
ML 2-Create a Training Datasource
00:04:27 -
ML 3-Create an ML Model
00:00:54 -
ML 4-Use the ML Model to Generate Predictions
00:12:28 -
ML 5-Clean Up
00:03:38
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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