Understanding Machine Learning —— pdf下载

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Covers CoreML, Vison, image and sequence classifiers, natural language processing, and more. Get started with Machine Learning for Apple and iOS! Want to know a secret? Machine learning isn’t really that hard to learn. The truth is, you don’t need a PhD from a prestigious university or a background in mathematics to do machine learning. If you already know how to code, you can pick up machine learning quite easily — promise! This book will get you started with machine learning on iOS and Apple devices. The first bit is a gentle introduction to the world of machine learning and what it has to offer — as well as what its limitations are. In the rest of the book, you’ll look at each of these topics in more detail, until you know enough to make machine learning a useful tool in your software development toolbox. There are now several high-level Apple frameworks, including Natural Language, Speech, and Vision, that provide advanced machine learning functionality behind simple APIs as part of Apple’s iOS tooling. Whether you want to convert speech to text, recognize language or grammatical structure, detect faces in photos or track moving objects in video, these frameworks have got you covered. In this book, you’ll learn how to use these tools and frameworks to make your apps smarter. Even better, you’ll learn how machine learning works behind the scenes — and why this technology is awesome. This book is for all Apple and iOS developers who are interested in learning how to train models, code image recognition systems, learn how natural language processing works, build sequence classifiers and more.
《了解机器学习:从理论到算法》是一本介绍机器学习的重要参考书籍。该书从理论和算法两个层面深入解析机器学习的基本概念和原理。 首先,书中详细介绍了机器学习的理论基础。它阐述了统计学习理论、概率论、信息论等数学基础,并探讨了机器学习的范式、学习算法的误差分析和泛化能力等重要概念。这些理论基础为读者提供了深入了解机器学习算法的基础。 其次,本书提供了丰富的机器学习算法实例。从监督学习、无监督学习到强化学习,书中介绍了常见的机器学习算法,如线性回归、决策树、支持向量机等。同时,它还讨论了这些算法的优缺点、应用场景和改进方法,帮助读者理解每种算法的原理和运作方式。 此外,该书还关注机器学习的实践应用。它介绍了常用的数据处理方法、特征工程技巧以及模型评估方法。这些实用的内容能够帮助读者在实际应用中解决问题并提升模型的性能。 总体而言,通过《了解机器学习:从理论到算法》这本书,读者可以全面了解机器学习的概念、原理和算法。无论是对于新手还是有一定基础的从业者来说,这本书都是学习机器学习的一份宝贵资料。通过理论和实践相结合的方式,它帮助读者从零基础开始掌握机器学习的核心知识,为进一步深入研究和应用奠定坚实的基础。
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