Anbieter: BooksRun, Philadelphia, PA, USA
Erstausgabe
Paperback. Zustand: Fair. 1st ed. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 66,84
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 2nd edition. 474 pages. 10.00x7.00x1.00 inches. In Stock.
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version¿s approach is based on the ¿six degrees of separation¿ theory, which states that everyone and everything is a maximum of six steps away and presents each topic in two parts: theoretical concepts and practical implementation using suitable Python 3 packages.Yoüll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis, feature dimension reduction, regressions, time series forecasting and their efficient implementation in Scikit-learn are covered as well. Yoüll also learn commonly used model diagnostic and tuning techniques. These include optimal probability cutoff point for class creation, variance, bias, bagging, boosting, ensemble voting, grid search, random search, Bayesian optimization, and the noise reduction technique for IoT data.Finally, yoüll review advanced text mining techniques, recommender systems, neural networks, deep learning, reinforcement learning techniques and their implementation. All the code presented in the book will be available in the form of iPython not Elektronisches Buch to enable you to try out these examples and extend them to your advantage.What You'll LearnUnderstand machine learning development and frameworksAssess model diagnosis and tuning in machine learningExamine text mining, natuarl language processing (NLP), and recommender systemsReview reinforcement learning and CNNWho This Book Is ForPython developers, data engineers, and machine learning engineers looking to expand their knowledge or career into machine learning area.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 476 pp. Englisch.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Mastering Machine Learning with Python in Six Steps | A Practical Implementation Guide to Predictive Data Analytics Using Python | Manohar Swamynathan | Taschenbuch | xvii | Englisch | 2019 | Apress | EAN 9781484249468 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.