Machine Learning Crash Course

[robcat2075]

Google has released a "Machine Learning Crash Course"

 

https://developers.google.com/machine-learning/crash-course/

 

 

 

 

 

Prerequisites

Machine Learning Crash Course does not presume or require any prior knowledge in machine learning. However, to understand the concepts presented and complete the exercises, we recommend that students meet the following prerequisites:

• Mastery of intro-level algebra. You should be comfortable with variables and coefficients, linear equations, graphs of functions, and histograms. (Familiarity with more advanced math concepts such as logarithms and derivatives is helpful, but not required.)

• Proficiency in programming basics, and some experience coding in Python. Programming exercises in Machine Learning Crash Course are coded in Python using TensorFlow. No prior experience with TensorFlow is required, but you should feel comfortable reading and writing Python code that contains basic programming constructs, such as function definitions/invocations, lists and dicts, loops, and conditional expressions.

 

 

 

Someone learn it and tell me if it's useful.

[johnl3d]

Not sure if my mind can handle it but will look at it.... learned some machine language programming while playing with my first computer OSI Challenger 4P and the Commodore 64

[Rodney]

I've been cheating and just watching the videos.

Some interesting stuff... although not sure how much in sinking in without doing the practical exercises.

I'm getting a fairly good overview and it's pointed me to some other interesting concepts that might be useful later.