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of practical examples. Hands-On One-shot Learning with Python will guide you through the exploration and design of deep learning models that can obtain;
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Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello;
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will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Studies takes you;
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with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT;
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with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT;
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This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;
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learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;
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Immerse yourself in learning Python and introductory data analytics with this book's project-based approach. Through the structure of a ten;
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learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;
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where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the;
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Get a grip on the hands-on guide to robotics for learning various robotics concepts and build an advanced robot from scratch Who This Book;
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through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data;
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Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental;
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you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python;
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Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning;
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programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today's most compelling;
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A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the;
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Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;
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Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;
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the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R;
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, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide;
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Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data;
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The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better. - Todd;
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Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine;
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. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical;
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Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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