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Akshay Kulkarni Adarsha Shivananda Anoosh (64 results)
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Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
£ 9.93
Convert currency£ 10.83 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketpaperback. Condition: Acceptable. The innre rhinges have come unglued. The copy shows minor external wear, but is in otherwise very good condition.
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Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
£ 9.93
Convert currency£ 10.83 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketpaperback. Condition: Good. Some shelf wear.
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Time Series Algorithms Recipes 1st ed.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Time Series Algorithms Recipes
First Edition
Paperback. Condition: 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.
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Applied Recommender Systems with Python
First Edition
Paperback. Condition: New. 1st ed. 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.
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Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
Published by Apress (edition 1st ed.), 2022
ISBN 10: 1484289773 ISBN 13: 9781484289778
Language: English
First Edition
£ 23.68
Convert currency£ 4.47 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: Good. 1st ed. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Time Series Algorithms Recipes 1st ed.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 29.50
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Applied Recommender Systems with Python : Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 30.87
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£ 25.38
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Applied Recommender Systems with Python : Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 32.16
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£ 17.86
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£ 20.57
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£ 29.22
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Paperback. Condition: Brand New. 190 pages. 9.25x6.10x0.43 inches. In Stock.
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£ 24.47
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Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 38.34
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£ 32.92
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
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£ 26.67
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Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 40.42
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Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 40.42
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International EditionTime Series Algorithms Recipes
ISBN 10: 1484294130 ISBN 13: 9781484294130
£ 21.76
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Add to basketCondition: 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.
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International Edition
Time Series Algorithms Recipes
ISBN 10: 1484294130 ISBN 13: 9781484294130
£ 21.76
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Add to basketCondition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Paperback. Condition: Brand New. 261 pages. 10.00x7.01x0.55 inches. In Stock.
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International Edition
Applied Recommender Systems with Python
ISBN 10: 1484294440 ISBN 13: 9781484294444
£ 24.67
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Add to basketCondition: 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.
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International Edition
Applied Recommender Systems with Python
ISBN 10: 1484294440 ISBN 13: 9781484294444
£ 24.67
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: 7 available
Add to basketCondition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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International Edition
Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
ISBN 10: 1484285239 ISBN 13: 9781484285237
£ 25.04
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Add to basketCondition: 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.
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International Edition
Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
ISBN 10: 1484285239 ISBN 13: 9781484285237
£ 25.04
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: 10 available
Add to basketCondition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New.
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£ 51.03
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Add to basketCondition: 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.
