learning python manual (13 Ergebnisse)

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paperback. Zustand: New. Paperback. Pub Date: 2009 08 Pages: 656 Language: Chinese in Publisher: China Machine Press Python portable. functional powerful. easy to use and is an ideal choice to write a stand-alone application and script applications. Whether you are new to programming or new to Python. by learning Python Learning Manual (3rd edition). you can quickly and efficiently proficient in core Python language foundation. Reading Python study manual (3rd edition) . you be the language enough to understand. so t.

paperback. Zustand: New. Language:Chinese.Python learning Manual - 4th Edition.

paperback. Zustand: New. Paperback. Pub Date: 2022-08-01 Pages: 316 Language: Chinese Publisher: Tsinghua University Press Python Superpower Learning Handbook is the crystallization of the author's 5 years of Python programming teaching achievements. carefully designed using Bloom's educational goals The structure and content of the book. combined with the readers' cognitive level and needs. deeply integrates the fun while focusing on knowledge. and stimulates readers' interest in learning programming from the perspe.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learningMachine learning is a subset of artificial intelligence (AI) in the field of computer science that oftenuses statistical techniques to give computers the ability to 'learn' with data, without being explicitly programmed. In the pastdecade, machine learning has given us practical speech recognition, self-driving cars, Robotics , effective web search, and a vastly improved understanding of the human genome.Machine learning tasks are typically classified into two broad categories, depending on whether there is a learning 'signal' or 'feedback' available to a learning system: 1. Supervised learning 2. Unsupervised Learning 3. Active learning 4. Reinforcement Learning.

paperback. Zustand: New. Paperback. Pub Date: 2018-01-01 Pages: 631 Language: Chinese Publisher: People's Posts and Telecommunications Press. Electronic Industry Press Python Machine Learning Basic Course: This book is an introduction to machine learning. introduced in Python language.?The main contents include: the basic concepts and applications of machine learning; commonly used machine learning algorithms in practice and the advantages and disadvantages of these algorithms; the importance of the presentation of t.

paperback. Zustand: New. Paperback. Pub Date: 2018-11-01 Language: Chinese Publisher: Mechanical Industry Press Python Learning Manual (Setup Volume 2 Original Book 5th Edition): Python Learning Manual (Set 2 Volume Original Book 5th Edition) It will help you use Python to write high-quality. efficient and easy-to-integrate code with other languages ??and tools.?Python Learning Manual (Fifth Edition of the Original Book of Set Volume) is compiled based on the famous training course of Python expert Mark Lutz. It is a.

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need. Key Features:Master Machine Learning using a broad set of Python libraries and start building your own Python-based ML systems Covers classification, regression, feature engineering, and much more guided by practical examples A scenario-based tutorial to get into the right mind-set of a machine learner (data exploration) and successfully implement this in your new or existing projects Book Description: Machine learning, the field of building systems that learn from data, is exploding on the Web and elsewhere. Python is a wonderful language in which to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation and an increasing number of machine learning libraries are developed for Python.Building Machine Learning system with Python shows you exactly how to find patterns through raw data. The book starts by brushing up on your Python ML knowledge and introducing libraries, and then moves on to more serious projects on datasets, Modelling, Recommendations, improving recommendations through examples and sailing through sound and image processing in detail. Using open-source tools and libraries, readers will learn how to apply methods to text, images, and sounds. You will also learn how to evaluate, compare, and choose machine learning techniques. Written for Python programmers, Building Machine Learning Systems with Python teaches you how to use open-source libraries to solve real problems with machine learning. The book is based on real-world examples that the user can build on. Readers will learn how to write programs that classify the quality of StackOverflow answers or whether a music file is Jazz or Metal. They will learn regression, which is demonstrated on how to recommend movies to users. Advanced topics such as topic modeling (finding a text's most important topics), basket analysis, and cloud computing are covered as well as many other interesting aspects.Building Machine Learning Systems with Python will give you the tools and understanding required to build your own systems, which are tailored to solve your problems. What You Will Learn:Build a classification system that can be applied to text, images, or sounds Use scikit-learn, a Python open-source library for machine learning Explore the mahotas library for image processing and computer vision Build a topic model of the whole of Wikipedia Get to grips with recommendations using the basket analysis Use the Jug package for data analysis Employ Amazon Web Services to run analyses on the cloud Recommend products to users based on past purchases.