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Python Machine Learning

Beginner’s Guide to Get You Started with Machine Learning and Deep Learning with Python
Narrated by: Russell Newton
Length: 1 hr and 43 mins

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Do you want to learn about Python machine learning? Data is the new oil, and machine learning is a powerful concept and framework for making the best out of it. In this age of automation and intelligent systems, it is hardly a surprise that machine learning and data science are some of the top buzz words. The tremendous interest and renewed investments in the field of data science across industries, enterprises, and domains are clear indicators of its enormous potential. Intelligent systems and data-driven organizations are becoming a reality, and the advancements in tools and techniques are only helping it expand further.

With data being of paramount importance, there is a shortage of data scientists. It's been coined "the sexiest job in the 21st century", which makes it all the more worthwhile to try to build some valuable expertise in this domain. Python Machine Learning is a problem solver's guide to building real-world intelligent systems. It follows a comprehensive three-tiered approach packed with concepts, methodologies, hands-on examples, and code. This book helps listeners master the essential skills needed to recognize and solve complex problems with machine learning and deep learning by following a data-driven mindset. Using real-world case studies that leverage the popular python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner.

Here is a preview of what you'll learn:

  • What machine learning means
  • The way that Python evolved throughout time
  • Model based learning
  • Data science and deep learning
  • Combining different models for ensemble learning
  • What artificial neural networks are
  • The way that Python evolved throughout time
  • Much, much more!
©2018 Scott Harvey (P)2018 Scott Harvey

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  • Jamin Shanti
  • 05-07-18

Needs work

Book lack examples of really anything. More of a set of bookends with no content between the covers. Seems to start in chapter 9 and the then just ends.