Build a Robo Advisor with Python (From Scratch): Automate your financial and investment decisions teaches you how to construct a Python-based financial advisor of your very own!
This book is for anyone who wants to learn Rust and maybe doesn’t have a lot of time in their day to do it.
This article delves into how Machine Learning algorithms interact with data and the importance of preserving data privacy.
Read it if you’re a machine learning engineer, or a developer building around machine learning.
This book is intended to get you up to speed with Go by using it in a series of immediately useful, small-scale projects. If you’re a developer who’s interested in learning Go and doing in a fast and practical way, read on!
This excerpt explores the inner workings of book production with computers.
If you want to excel in ML and deep learning, you need to know more than how to implement the algorithms—you need to know them inside-out. This book delves into selected algorithms and teaches you how to build your own from scratch.
This article introduces the concept and definition of differential privacy.
Read it if you’re a machine learning engineer, or a developer building around machine learning.
This excerpt covers:
This excerpt covers cybersecurity as an infinite game, the shared responsibility model, Azure security services, the threat landscape, cloud security challenges, the Zero Trust security model, and the defense in depth concept.
Cyber threats are constantly multiplying and evolving, and a good defense isn’t good enough anymore. The safest approach to cyber threats is to hunt them down before they do damage, rather than reactively waiting for them to be uncovered.