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Introduction to AI, Machine Learning and Data Science 2020

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Introduction to AI, Machine Learning and Data Science 2020
Introduction to AI, Machine Learning and Data Science 2020
Video: .MP4, 1280x720 30 fps | Audio: AAC, 48kHz, 2ch | Duration: 32:30
Genre: eLearning | Language: English + Subtitles | Size: 196 MB


Introductory Course for Beginners to AI, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised ML What you'll learn
Introduction to buzz words like AI, Machine Learning, Data Science and Deep Learning etc.
Real time examples where Machine Learning can be used to solve real world business problems
Introduction to Supervised Learning and Unsupervised Learning
Introduction to Natural Language Processing
Why python is popular for Machine Learning

Requirements
You just need computer or mobile phone with internet connection to access course material.
No prerequisites !
Description
Lets learn basics to transform your career.
I promise not to exhaust you with huge number of videos.
Welcome to the most comprehensive Introduction to AI, Machine Learning and Data Science course! An excellent choice for beginners and professionals looking to expand their knowledge on Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised Learning.
This is an introductory course for beginners to boost your knowledge. This course gives introduction to to AI, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised learning with real time examples where machine learning can be applied to solve or simplify real world business problems.
Who this course is for:
Beginners to AI, Machine Learning and Data Science
Students or Professionals
Testers, Database Developers
Managers
Java Developers
Full Stack Developers etc.

Download
http://nitroflare.com/view/B0D35D433475BD6/Introduction_to_AI%2C_Machine_Learning_and_Data_Science_2020.rar

or
https://rapidgator.net/file/0059cf873fa1baefa0696af59c3add81/Introduction_to_AI,_Machine_Learning_and_Data_Science_2020.rar

 

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