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Titlebook: An Introduction to Machine Learning; Gopinath Rebala,Ajay Ravi,Sanjay Churiwala Book 2019 Springer Nature Switzerland AG 2019 Deep Learnin

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發(fā)表于 2025-3-21 16:24:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱An Introduction to Machine Learning
影響因子2023Gopinath Rebala,Ajay Ravi,Sanjay Churiwala
視頻videohttp://file.papertrans.cn/156/155323/155323.mp4
發(fā)行地址Offers a comprehensive introduction to Machine Learning, while not assuming any prior knowledge of the topic.Provides a complete overview of available techniques and algorithms in conceptual terms, co
圖書封面Titlebook: An Introduction to Machine Learning;  Gopinath Rebala,Ajay Ravi,Sanjay Churiwala Book 2019 Springer Nature Switzerland AG 2019 Deep Learnin
影響因子.Just like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms.? Many of the mathematical concepts are explained in an intuitive manner.? The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with.??.Offers a comprehensive introduction to Machine Learning, while not assuming any priorknowledge of the topic;.Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning;.Not tied to any specific software language or hardware implementation.
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Regressions, to make predictions. This chapter starts getting into the actual aspects of machine learning. By the end of this chapter, you will be able to perform some simple predictions for new data, based on learning from the labelled dataset (from prior observations).
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Natural Language Processing,ariety of applications including speech recognition, language translations, summarization, question responses, speech generation, and search applications. NLP is an area of research which has proven to be difficult to master. Deep learning techniques have started to solve some of the issues involved
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Anomaly Detection, about a defect in a component or a fraudulent exchange. For example, if a person usually types with a certain speed, and suddenly the system sees a different speed, it is anomalous behavior, giving an indication of possible impersonation. Or, for a component, certain measured parameters being outsi
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