MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 16 lectures (1h 13m) | Size: 1.1 GB

Learn to secure your Machine Learning Models

What you'll learn:
Secure Machine Learning
IBM Adversarial Robustness Toolbox
IT-Security

Requirements
Python
Machine Learning
TensorFlow

Description
Machine Learning has created a seismic shift in how we think about software engineering and building things in general. Instead of asking how we should solve things ourselves, we dream of being able to just point at the data and let probabilistic systems make an objectively accurate decision for us.

Lately, there has been a growing conversation about the various risks inherent in these sorts of models and how we should be mitigating against them. The field of secure machine learning attempts to address this problem. The idea in its most basic form is to act proactively by putting yourself in the mindset of a criminal and 'hacking' into your own machine learning systems to identify problems, weak spots, or potential back doors before an actual criminal can do the same. After taking this course, you will understand the fundamentals of secure machine learning.

Who this course is for
Machine Learning Engineers
Software Developers
AI Researchers
Data Scientists
IT-Security

Homepage

Download From Rapidgator

https://rapidgator.net/file/09e758af3dd342407775e2dad4f0650a
https://rapidgator.net/file/2e0ad4a87f2ca705c594165376a57434

Download From Nitroflare

http://nitroflare.com/view/C8F9E6743F909E2/BaDshaH.An_Introduction_to_Secure_Machine_Learning.part1.rar
http://nitroflare.com/view/7222056F9AC4F98/BaDshaH.An_Introduction_to_Secure_Machine_Learning.part2.rar