Description

12 Steps to Hypnotic Influence – Mark Cunningham, Ross Jeffries, David Snyder, Tom Vizzini

12 Steps to Hypnotic Influence – Mark Cunningham, Ross Jeffries, David Snyder, Tom Vizzini
Category: Self Improvement
English | Size: 12.30 GB
NOTE: THIS APPEARS TO BE A “GREATEST HITS” COMPILATION. SOME OR MUCH OF THE MATERIAL HAS BEEN POSTED IN OTHER PACKAGES.
You might want to look at the list and pick which ones you want before you start download. Alternately, this looks a great offering for those who are looking for a “buffet” of material.

Are you tired of courses based on over-used, outdated data sets?

Yes? Well then you’re in for a treat.

Inside this class we will work on Real-World datasets, to solve Real-World business problems. (Definitely not the boring iris or digit classification datasets that we see in every course). In this course we will solve six real-world challenges:

• Artificial Neural Networks to solve a Customer Churn problem
• Convolutional Neural Networks for Image Recognition
• Recurrent Neural Networks to predict Stock Prices
• Self-Organizing Maps to investigate Fraud
• Boltzmann Machines to create a Recomender System
• Stacked Autoencoders* to take on the challenge for the Netflix $1 Million prize

*Stacked Autoencoders is a brand new technique in Deep Learning which didn’t even exist a couple of years ago. We haven’t seen this method explained anywhere else in sufficient depth.

In Deep Learning A-Z™ we code together with you. Every practical tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.

In addition, we will purposefully structure the code in such a way so that you can download it and apply it in your own projects. Moreover, we explain step-by-step where and how to modify the code to insert YOUR dataset, to tailor the algorithm to your needs, to get the output that you are after.