One of Mark Cuban's top reads for better understanding A.I. (inc.com 2021) Your comprehensive
entry-level guide to machine learning While machine learning expertise doesn't quite mean you
can create your own Turing Test-proof android--as in the movie Ex Machina--it is a form of
artificial intelligence and one of the most exciting technological means of identifying
opportunities and solving problems fast and on a large scale. Anyone who masters the principles
of machine learning is mastering a big part of our tech future and opening up incredible new
directions in careers that include fraud detection optimizing search results serving
real-time ads credit-scoring building accurate and sophisticated pricing models--and way way
more. Unlike most machine learning books the fully updated 2nd Edition of Machine Learning For
Dummies doesn't assume you have years of experience using programming languages such as Python
(R source is also included in a downloadable form with comments and explanations) but lets you
in on the ground floor covering the entry-level materials that will get you up and running
building models you need to perform practical tasks. It takes a look at the underlying--and
fascinating--math principles that power machine learning but also shows that you don't need to
be a math whiz to build fun new tools and apply them to your work and study. * Understand the
history of AI and machine learning * Work with Python 3.8 and TensorFlow 2.x (and R as a
download) * Build and test your own models * Use the latest datasets rather than the worn out
data found in other books * Apply machine learning to real problems Whether you want to learn
for college or to enhance your business or career performance this friendly beginner's guide
is your best introduction to machine learning allowing you to become quickly confident using
this amazing and fast-developing technology that's impacting lives for the better all over the
world.
