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Recommender Systems and Deep Learning in Python free download

Almost all online businesses today make use of recommender systems in some way or another . We’ll look at Bayesian recommendation techniques that are being used by a large number of media companies today . We’ll be covering state of the art algorithms like matrix factorization and deep learning (making use of both supervised and unsupervised learning – Autoencoders and Restricted Boltzmann Machines) As a bonus, we will also look how to perform Matrix factorization using big data in Spark using Amazon EC2 instances with Amazon Web Services (AWS) We will create a cluster using the MovieLens 100k dataset – that is puny!

What you’ll learn in Recommender Equipments and also Deep Discovering in Python

  1. Understand and implement exact suggestions for your customers making use of easy as well as state-of-the-art algorithms
  2. Huge data matrix factorization on Glow with an AWS EC2 collection
  3. Matrix factorization/ SVD in pure Numpy
  4. Matrix factorization in Keras
  5. Deep neural networks, residual networks, as well as autoencoder in Keras
  6. Restricted Boltzmann Device in Tensorflow

Description

Believe it or otherwise, mostly all on-line companies today make use of recommender systems somehow or another.
What do I suggest by “recommender systems”, as well as why are they useful?
Let’s consider the leading 3 internet sites on the Internet, according to Alexa: Google, YouTube, and also Facebook.

Google: Search engine result
They are why Google is the most effective technology company today.
YouTube: Video clip control panel
I’m sure I’m not the just one who’s inadvertently invested hours on YouTube when I had more important things to do! Just exactly how do they persuade you to do that?

Facebook: So powerful that globe federal governments are worried that the newsfeed has too much influence on individuals! (Or maybe they are fretted about losing their very own power … hmm …)
Outstanding!

This training course is a big bag of tricks that make recommender systems work across numerous platforms.

We’ll consider Bayesian referral methods that are being used by a great deal of media companies today.

Yet this training course isn’t almost news feeds.
Companies like Amazon.com, Netflix, and Spotify have actually been utilizing recommendations to recommend products, flicks, and songs to consumers for several years now.

So I guarantee you, what you’re about to find out in this program is really genuine, really appropriate, and also will certainly have a big impact on your service.

For those of you who like to dig deep right into the theory to recognize exactly how things actually function, you recognize this is my specialized and also there will certainly be no shortage of that in this program. We’ll be covering state of the art algorithms like matrix factorization and also deep knowing (using both supervised and without supervision discovering – Autoencoders and Restricted Boltzmann Machines), as well as you’ll learn a bag loaded with tricks to surpass baseline results.

As an incentive, we will likewise look just how to perform matrix factorization utilizing big data in Spark. We will create a collection using Amazon EC2 instances with Amazon.com Internet Solutions (AWS). The majority of various other programs and also tutorials check out the MovieLens 100k dataset – that is weak! Our instances utilize MovieLens 20 million.

Whether you offer products in your shopping store, or you simply create a blog – you can make use of these methods to show the appropriate referrals to your users at the correct time.
If you’re a staff member at a firm, you can utilize these strategies to thrill your manager as well as get a raise!

I’ll see you in class!


KEEP IN MIND:
This course is not “formally” component of my deep knowing collection. It has a solid deep knowing part, however there are numerous concepts in the program that are entirely unconnected to deep learning.

Who this course is for:

  • Anyone who owns or operates an Internet business
  • Students in machine learning, deep learning, artificial intelligence, and data science
  • Professionals in machine learning, deep learning, artificial intelligence, and data science
File Name :Recommender Systems and Deep Learning in Python free download
Content Source:udemy
Genre / Category:Business
File Size :1.19 gb
Publisher :Lazy Programmer Inc.
Updated and Published:03 Mar,2022

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