python machine learning case (97 Ergebnisse)

paperback. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

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Taschenbuch. Zustand: Neu. Neuware -This book will be a user-friendly guide, which gives you hands-on experience in building machine learning projects and slightly brushes the basics of deep learning. Machine Learning Real World Case Studies in Python start with a simple machine learning project and walk you through the most advanced real-world projects. Finally, at the end of the book, you will be able to build a complete end-to-end project from scratch.Books on Demand GmbH, Überseering 33, 22297 Hamburg 180 pp. Englisch.

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paperback. Zustand: New. Paperback. Pub Date: 2023-03 Pages: 364 Publisher: Tsinghua University Press This book uses Python 3.7 as the programming environment. starts with basic programming ideas. and gradually develops Python language teaching. It is a programming book for a large number of programming learners. The book is divided into basics. image processing and visualization. crawler technology development. artificial intelligence development. and game development improvement. The basics (Chapters 1 to 7) mainly.

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paperback. Zustand: New. Language:Chinese.Paperback.Pub Date:2022-06-01 Pages:448 Publisher:China Water Resources and Hydropower Press Machine Learning Deep Learning Image Recognition from Basics to Case Practice introduces the field of artificial intelligence with a large number of graphics and images combined with Python code Knowledge about image recognition. The book consists of 3 parts. of which the first part introduces the basic knowledge and the use of related tools such as Python. Jupyter Nobebook and NumPy.

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paperback. Zustand: New. Paperback. Pub Date: 2021-05-01 Pages: 264 Language: Chinese Publisher: Tsinghua University Press Python Programming Case Tutorial-From Entry to Machine Learning (2nd Edition) (Micro Lesson Edition) is a system A book that introduces Python application programming methods.?The book is divided into 11 chapters. the main content includes Python language quick start. Python syntax overview. classes and modules. graphical user interface design. Python image processing. file and database programmi.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2021-11-01 Pages: 300 Publisher: Tsinghua University Press This book systematically introduces classic machine learning algorithms. and analyzes the algorithms through practical cases.?The content of this book consists of three parts: The first part (Chapter 1 and Chapter 2) is the introductory chapter. focusing on the basics of Python development and data analysis and processing; the second part (Chapter 3 and Chapter 4) is the basic chapter. focusing on.

paperback. Zustand: New. Paperback. Pub Date: 2019-11-01 Pages: 208 Language: Chinese Publisher: Tsinghua University Press Python machine learning algorithms: Theory. Implementation and case in plain language to learn more on the current popular classical machine learning algorithms. including linear regression. Logistic regression and Softmax back .

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2018-09-01 Pages: 243 Publisher: Tsinghua University Press This book systematically introduces Python application design methods. including Python syntax quick start. classes and modules. graphical user interface design. drawing and numbers Image processing. file and database operations. multithreading. exception handling and regular expressions.

paperback. Zustand: New. Paperback. Pub Date: 2018-09-01 Pages: 183 Language: Chinese Publisher: Tsinghua University Press. Python Machine Learning 5 Data Scientist Case Analysis covers machine learning methods and Python. and can automatically present rich insights into business problems. And solutions. Python Machine Learning 5.

paperback. Zustand: New. Paperback. Pub Date: 2021-03-01 Publisher: Tsinghua University Press This book is tailor-made for beginners who are close to zero-based. With a large number of examples. it introduces the basic grammar. coding standards and some programming ideas of Python.?This book ~ Chapter 6 is the basis of the Python language. mainly introducing the basic usage of Python; Chapters 7~11 introduce some practical applications of Python.?Among them. Chapter 7 describes how to use Python for GUI development. .

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2022-07-01 Pages: 298 Publisher: China Water Conservancy and Hydropower Publishing House Intelligent Recommendation System Development Practice is written based on Python 3.7. The whole book focuses on the development practice of the recommendation model. and introduces various types of recommendations for readers. The development process of the model and its application in various business scenarios. The book is divided into 4 parts. The first part brief.

paperback. Zustand: New. Paperback. Pub Date: 2018-12-01 Pages: 396 Publisher: Tsinghua University Press This book uses Python 3.5 as the programming environment. starting with the basic programming ideas. and gradually developing Python language teaching. is a program for the majority of programming learners. Programming books. This book takes the case to guide the knowledge point. the knowledge of Python.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2022-08-01 Publisher: Tsinghua University Press This book starts with Python basic development and extends to crawler technology development. game development. artificial intelligence development. network application development. image processing and visualization development 6 Python classics Development direction; The book provides a total of 25 project cases. explaining each knowledge point in a project-driven manner. decomposing Python knowledge point.

paperback. Zustand: New. Paperback. Pub Date: 2021-05-01 Pages: 233 Publisher: Machinery Industry Press This book includes 3 parts: The first part introduces the basic concepts of machine learning. which are the prerequisite knowledge of machine learning; the second part introduces several systems Mature machine learning algorithms and technologies; Part 3 introduces 21 best cases throughout the entire machine learning workflow. and discusses forward-looking methods and ideas. which are recognized as the future resea.