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1 Python Machine Learning: Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems
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.
The book will teach Even if this is your first encounter with the machine learning and 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 using easy to follow language to help you to apply what you learn right away!
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.
The book will teach Even if this is your first encounter with the machine learning and 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 using easy to follow language to help you to apply what you learn right away!
246 pages, Paperback
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