Langue: anglais
Edité par Apress (edition 1st ed.), 2022
ISBN 10 : 1484289773 ISBN 13 : 9781484289778
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Edition originale
EUR 7,79
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Good. 1st ed. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
EUR 22,77
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Edition originale
EUR 25,10
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : New. 1st ed. This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical modeling methods like AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average), and ARIMA (autoregressive integrated moving-average). Next, you'll learn univariate and multivariate modeling using different open-sourced packages like Fbprohet, stats model, and sklearn. You'll also gain insight into classic machine learning-based regression models like randomForest, Xgboost, and LightGBM for forecasting problems. The book concludes by demonstrating the implementation of deep learning models (LSTMs and ANN) for time series forecasting. Each chapter includes several code examples and illustrations. After finishing this book,you will have a foundational understanding of various concepts relating to time series and its implementation in Python. What You Will LearnImplement various techniques in time series analysis using Python.Utilize statistical modeling methods such as AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average) and ARIMA (autoregressive integrated moving-average) for time series forecasting Understand univariate and multivariate modeling for time series forecastingForecast using machine learning and deep learning techniques such as GBM and LSTM (long short-term memory) Who This Book Is ForData Scientists, Machine Learning Engineers, and software developers interested in time series analysis.
EUR 26,39
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 29,02
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 27,53
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New.
EUR 29,86
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : New. This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an essential part of every internet-based business today.You'll start by learning basic concepts of recommender systems, with an overview of different types of recommender engines and how they function. Next, you will see how to build recommender systems with traditional algorithms such as market basket analysis and content- and knowledge-based recommender systems with NLP. The authors then demonstrate techniques such as collaborative filtering using matrix factorization and hybrid recommender systems that incorporate both content-based and collaborative filtering techniques. This is followed by a tutorial on building machine learning-based recommender systems using clustering and classification algorithms like K-means and random forest. The last chapters cover NLP, deep learning, and graph-based techniques to build a recommender engine. Each chapter includes data preparation, multiple ways to evaluate and optimize the recommender systems, supporting examples, and illustrations.By the end of this book, you will understand and be able to build recommender systems with various tools and techniques with machine learning, deep learning, and graph-based algorithms.What You Will LearnUnderstand and implement different recommender systems techniques with PythonEmploy popular methods like content- and knowledge-based, collaborative filtering, market basket analysis, and matrix factorization Build hybrid recommender systems that incorporate both content-based and collaborative filteringLeverage machine learning, NLP, and deep learning for building recommender systemsWho This Book Is ForData scientists, machine learning engineers, and Python programmers interested in building and implementing recommender systems to solve problems.
Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-Unis
EUR 31,87
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.29.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 33,41
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 31,66
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 29,98
Quantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : Acceptable. The innre rhinges have come unglued. The copy shows minor external wear, but is in otherwise very good condition.
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 40,89
Quantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : Good. Some shelf wear.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 43,32
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 42,14
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 35,08
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New. 2022. 1st ed. paperback. . . . . .
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 47,48
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 45,85
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 34,26
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 36,93
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 190 pages. 9.25x6.10x0.43 inches. In Stock.
EUR 32,22
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 33,85
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 48,67
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 42,93
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New. 2022. 1st ed. paperback. . . . . . Books ship from the US and Ireland.
ISBN 10 : 1484294130 ISBN 13 : 9781484294130
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
EUR 26,62
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 36,75
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 54,51
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 38,34
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 55,08
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 44,38
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 55,14
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New.