Machine Learning Complete Course
Develop Cognitive Application on AWS and Microsoft AZURE
Development,Data Science and AI ML,Deep Learning
Lectures -53
Duration -4 hours
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Course Description
In this course we will learn and practice all the services of AWS Machine Learning which is being offered by AWS Cloud. There will be both theoretical and practical section of each AWS Machine Learning services.This course is for those who loves machine learning and would 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.
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
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.
Microsoft Azure a cloud platform where we will going to deploy machine learning skills.
In this course you will going to learn following topics
Concept of Machine Learning
Cognitive Services
Text Analytics
Detecting Language
Analyze image and video
Recognition handwritten from text
Generate Thumbnail
Content Moderator
Translate
and many more things
ALL THE BEST !!
Goals
What will you learn in this course:
- 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
- Echo Bot
- Facebook Chat bot
- Question and Answer Maker
- LUIS(Language Understanding)
- Text Analytics
- Detecting Language
- Analyze image and video
- Recognition handwritten from text
- Generate Thumbnail
- Content Moderator
- Custom Vision
- Translate
- Simple chatbot integrate in HTML websites
Prerequisites
What are the prerequisites for this course?
- If you have a background in computer science or development, it would be beneficial.
- You should have an AWS Account or Microsoft Azure account
- You should have a Facebook business page
Curriculum
Check out the detailed breakdown of what’s inside the course
AZURE Machine Learning Overview
1 Lectures
- Introduction to Azure Machine Learning 11:36 11:36
Computer vision
2 Lectures
Content Moderator
4 Lectures
Custom Vision
4 Lectures
Text Analytics
5 Lectures
Translate
2 Lectures
AWS Machine Learning
1 Lectures
Amazon Comprehend
5 Lectures
Amazon Lex and Amazon Polly
6 Lectures
Amazon Rekognition
9 Lectures
Amazon SageMaker and AWS DeepLens
2 Lectures
Machine Learning (Using Amazon ML to Predict Responses to a Marketing Offer)
5 Lectures
Amazon Transcribe and Translate
6 Lectures
Instructor Details
Pranjal Srivastava
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