{"product_id":"python-machine-learning-understand-python-libraries-keras-numpy-scikit-lear-tensorflow-for-implementing-machine-learning-models-in-order-paperback","title":"Python Machine Learning: Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order - Paperback","description":"\u003cp\u003eby \u003cb\u003eEthem Mining\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDo 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 is Python 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?\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eTech is slowly moving towards high-level automation, robotics, machine learning, artificial intelligence, big data and other high level computing concepts.\u003c\/p\u003e\u003cp\u003eThat'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.\u003c\/p\u003e\u003cp\u003eSo if you ever want to leverage the full power of any of these advanced computing concepts, \u003cstrong\u003enow is the right time to get in \u003c\/strong\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSo where do you even start?\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eWell, 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThe book will teach you: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eThe 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 \u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHow machine learning works in 7 simple steps\u003cbr\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow machine learning is applied in real world situations like health care, customer service, underwriting, real time pricing, self-driving cars, fraud detection, robotics, facial recognition, product recommendations, retargeting customers and much more \u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHow supervised learning is a thing in machine learning, including the types of supervised learning, feature vectors, how to pick the learning algorithm and more\u003cbr\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to leverage the power of unsupervised machine learning, including what unsupervised learning means, how to use different approaches to clustering and, visualization \u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHow you can use semi-supervised learning as well as reinforcement based learning, where both of them are used and more\u003cbr\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eThe place of regression techniques in machine learning, including the different regression methods that you can use as well as how to use them well \u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHow data is classified in machine learning, including the different methods of classifying data\u003cbr\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to unleash the full power of neural networks in machine learning while leveraging the power of different libraries like TensorFlow, Keras and more \u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple ways to access computing power in machine learning\u003cbr\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to unleash the full power of data mining using different libraries like The Scikit-Learn \u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHow to make the most use of NumPy Ndarray for high-level operations and in neural networks\u003cbr\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAnd much more  \u003cp\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eEven 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 \u003c\/p\u003eWould You Like To Know More?\u003cp\u003e\u003cbr\u003e\u003c\/p\u003eClick \u003cstrong\u003eBuy Now With 1-Click\u003c\/strong\u003e or \u003cstrong\u003eBuy Now\u003c\/strong\u003e to get started \u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 246\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.52 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 03, 2019\u003c\/div\u003e","brand":"Books by 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