Udemy

Complete Machine Learning Bootcamp [Updated]

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  • 5,436 Students
  • Updated 11/2021
4.4
(35 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 20 Minute(s)
Language
English
Taught by
Pranjal Srivastava
Rating
4.4
(35 Ratings)
1 views

Course Overview

Complete Machine Learning Bootcamp [Updated]

Develop Cognitive Application on AWS and Microsoft AZURE

Do you know which job is the highest paying and most in demand job? If you look for the answer whether on Google or any job listing search engine. Then the answer will remain same for the question, i.e. Machine Learning Engineer.

If you are wondering where to begin this journey of learning, then this course is for YOU. In this course you will learn and practice all the services related to Machine Learning in AWS and Microsoft Azure Cloud.  This course provides you in depth learning about cognitive computing, machine learning as well as cloud computing. It offers 5 hrs learning with practical hands on ML and cognitive services

This learning path has been designed to help people get a deeper understanding of the real-life problems in the field.

You will be able to integrate these services into 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. 


AWS Machine Learning Services are-

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

Microsoft Azure Machine Learning Services are-

  • Text Analytics

  • Detecting Language

  • Analyze image and video

  • Recognition handwritten from text

  • Generate Thumbnail

  • Content Moderator

  • Translate and many more things

ALL THE BEST !!


Course Content

  • 10 section(s)
  • 73 lecture(s)
  • Section 1 AZURE Machine Learning Overview
  • Section 2 NLP Project
  • Section 3 Quick Recap
  • Section 4 Computer vision
  • Section 5 Content Moderator
  • Section 6 Custom Vision
  • Section 7 Text Analytics
  • Section 8 Translate
  • Section 9 AWS Machine Learning
  • Section 10 Amazon Comprehend

What You’ll Learn

  • 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


Reviews

  • M
    Michael Shadpour
    4.0

    Hard to understand. Does not explain material well.

  • K
    Kashif Maqroom
    5.0

    important lessons to learn.

  • A
    Andre Sergei
    5.0

    I bought 2 more courses on same topic, but at different prices, although i can afford them all, but i think this course is worth more price as the quantity and content we get here is heavily underpriced. You cannot get same content at this price elsewhere.

  • S
    Simran Shakya
    5.0

    This course has significant implication on practical excercises and has content required to prepare ml on cloud.

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