Machine Learning - Page 5

In a nutshell, Machine Learning is a way to give computers the powers of generalization. And that's what I try to do: put [seemingly complicated] things simply. My posts on Machine Learning (ML) focus mainly on recent cutting edge research, and how to make it accessible to everyone. I felt like many academic guides weren't accessible enough, so I strove to make my guides as clear and practically-focused as possible.

Unsure where to start? Here are some of my best / most popular posts:

• Lessons from becoming a Machine Learning Engineer in 12 months, without a CS or Math degree
• How to approach algorithm problems
• An introduction to probabilistic programming, now available in TensorFlow Probability

Similar tags include Tensorflow, GANs, and Private Machine Learning.

Enjoy!