Python Machine Learning

Summary

Do you want to learn how to apply efficiently your Python knowledge to implement learning models? Do you want to understand which ones are the best libraries to use and why Python is considered the best language for machine learning? What do you need to learn to move from being a complete beginner to someone with advanced knowledge of machine learning? Tech is slowly moving towards high-level automation, robotics, machine learning, artificial intelligence, big data, and other high level computing concepts. That’s why self-driving cars, customized product recommendations, real time pricing, facial recognition, retargeting ads, geo-targeting, using bots for customer service, and much more is a thing these days. So if you ever want to leverage the full power of any of these advanced computing concepts, now is the right time to get in! So where do you even start? Well, my recommendation is to start by learning machine learning, as that will effectively help you to understand the ins and outs of how to build intelligent systems. In this audiobook, you will learn: The basics of machine learning How machine learning is beneficial in today’s world The basics about machine learning, including what it is, how it developed, the place of big data in machine learning as well as how machine learning works How machine learning works in seven simple steps Which ones are the best libraries and how to import them Multiple ways to access computing power in machine learning And much more! Even if this is your first encounter with machine learning and you want to dip your feet into the world of high level computing concepts like machine learning, deep learning, artificial intelligence, and more, this book will break everything down using easy-to-follow language to help you to apply what you learn right away! Would you like to know more? Scroll to the top of the page and select the "Buy Now" button.

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