Python machine learning

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictiv

Once the stuff of science fiction, recent progress in artificial intelligence, robotics, and machine learning means that these rapidly advancing technologies are finally coming into widespread use wit

This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing he

本書是一則結合冒險與語言學習的雙語故事，全文以英文與法文對照呈現，適合已能以母語獨立閱讀的孩子。Tom 和 Sophie 在前往祖父家的旅途中，各自懷著不同心思，直到他們發現祖父最新的發明——一台能穿越時空的機器。隨著旅程展開，孩子在故事中自然接觸另一種語言，不必逐字查詢，也能在重複出現的語境中理解新詞彙。插畫與對話框設計，為閱讀提供清楚而安心的引導，讓學習語言成為一次充滿想像的探索。The interesting, illustrated bilingual stories in Let's Read! language-learning books are written for boys and girls who are independent readers in their own language. Titles in this series are available in both English-French and English-Spanish editions. While enjoying the original, varied, and exciting stories, young readers explore a second language, compare it with their own, and start out on a path toward fluency in their new language. Boys and girls soon discover that they don't need to learn every single new word that they encounter in the second language. As unfamiliar words reappear in the story's context, kids will pick up their meaning effortlessly, just as they pick up and understand new words in their own language. The parallel text, illustrations, and dialogue balloons on each pag

Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python--even if you're new to computer programmingReference all the essentials and the latest updates, so your code is air-tightLearn how Python can be a solution for large-scale projects and big datasetsAccelerate your career path with this comprehensive guide to learning PythonExperienced and would-be coders alike will love this easy-to-follow guide to learning

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intellige

The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning fr

Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.