| 書目名稱 | Pro Machine Learning Algorithms | | 副標(biāo)題 | A Hands-On Approach | | 編輯 | V Kishore Ayyadevara | | 視頻video | http://file.papertrans.cn/757/756487/756487.mp4 | | 概述 | Exposes readers to running a large-scale model in a cloud environment.Covers all major machine learning algorithms with theory along with case studies including the vast majority of algorithms used in | | 圖書封面 |  | | 描述 | Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In .Pro Machine Learning Algorithms., you will first develop the algorithm in Excel so that you?get a practical understanding of?all the levers that can be tuned in a model, before implementing the models in Python/R..You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks.?You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model.?You will see the theory along with case studies, such as?sentiment classification, fraud detection, recommender systems, and image recognition,?so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Machine Learning; Python; R; Linear regression; Logistic regression; Decision tree; Neural Network | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-3564-5 | | isbn_softcover | 978-1-4842-3563-8 | | isbn_ebook | 978-1-4842-3564-5 | | copyright | V Kishore Ayyadevara 2018 |
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