Alexander Combs (23 results)

Mass Market Paperback. Condition: Very Good. First Edition. New York: Love Spell Books [1998]. Very Good. 1998. First Edition. Mass Market Paperback. 0505522799 . First edition. "To persons of good characer, free feline to stable home". Collects 4 stories. Pictorial wrappers, 391 pages plus ads at the rear. VG+ or better copy [slight spine cocking, light creasing]. .

Soft cover. Condition: Very Good +. Kalmus piano series #3698, TEXT UNMNARKED.

Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Condition: New.

Hardcover. Condition: Brand New. 144 pages. 12.00x9.50x0.75 inches. In Stock.

Paperback. Condition: New. Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and KerasKey FeaturesGet to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and KerasImplement advanced concepts and popular machine learning algorithms in real-world projectsBuild analytics, computer vision, and neural network projects Book DescriptionMachine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects.The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you'll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you'll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you'll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you'll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks.By the end of this book, you'll be able to analyze data seamlessly and make a powerful impact through your projects.What you will learnUnderstand the Python data science stack and commonly used algorithmsBuild a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window Understand NLP concepts by creating a custom news feedCreate applications that will recommend GitHub repositories based on ones you've starred, watched, or forkedGain the skills to build a chatbot from scratch using PySparkDevelop a market-prediction app using stock dataDelve into advanced concepts such as computer vision, neural networks, and deep learningWho this book is forThis book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.

Condition: New. In.

PF. Condition: New.

Condition: New. &Uumlber den AutorSarah Roberts is Andrew W. Mellon Foundation Curator and Head of Painting and Sculpture at the San Francisco Museum of Modern Art (SFMOMA).

Condition: New. Machine Learning (ML) is transforming the way we understand and interact with the world around us. This book is a perfect guide for you to use the Python ecosystem to cover key domains in the machine learning. You will learn to implement advanced concepts a.

Paperback. Condition: New. New. book.

Paperback. Condition: New. 2nd Revised edition. Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and KerasKey FeaturesGet to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and KerasImplement advanced concepts and popular machine learning algorithms in real-world projectsBuild analytics, computer vision, and neural network projects Book DescriptionMachine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects.The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you'll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you'll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you'll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you'll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks.By the end of this book, you'll be able to analyze data seamlessly and make a powerful impact through your projects.What you will learnUnderstand the Python data science stack and commonly used algorithmsBuild a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window Understand NLP concepts by creating a custom news feedCreate applications that will recommend GitHub repositories based on ones you've starred, watched, or forkedGain the skills to build a chatbot from scratch using PySparkDevelop a market-prediction app using stock dataDelve into advanced concepts such as computer vision, neural networks, and deep learningWho this book is forThis book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.

Newspaper. 36p., very good condition folded tabloid newspaper on newsprint, news, reviews, events, essays, opinion. Cover stories on the Groovy Guy Contest, Terror in the Tubs, a police raid on the baths.

Paperback. Condition: Fair. Illustrated by Hughes, George; Smith, J. Frederick; Buell, Al; Stevens,Peter; Bingham, James R.; (illustrator). First Edition. 136 pages. Short Stories: Swamp Girl; Hour of Panic; Return From Nowhere; Hard of Heart. Articles: My Friend, Trotsky's Assassin - Jacques Mornard - with numerous photos; Rockety-Happy Kids at Camp A.P. Hill artillery range in Virginia; I Call on Actor Laurence Harvey - with photos; Adventures of the Mind, 54 - The U.S. Presidencyy; Germany's Enchanted Black Forest - with color photos; The Face of America - The Grandeur That Was - great color photo of the Old Tyson place at Lowndesboro, Alabama; The Mystery of the Palatine Light - this photo-illustrated article investigates an enduring legend of murder and mayhem on Block Island 120 miles from Manhattan; Is Baseball Comedy Dead? - great comedic photos of baseball stars - with article discussing the contention that modern major-leaguers have become too serious. Serials: The Case of the Duplicate Daughter (part 2 of 8); Journey into Danger (part 6 of 8). Ads: Westinghouse Center Drawer Refrigerator; Chevrolet Power Steering; Glidden House Paint (2 pages); Chrysler Certified Car Care; Northern Tissue (two pages); Studebaker Lark - nice color photo with fire truck); Campbell's Soup; Corvair; Chryslter - fantastic one-page color photo of a white New Yorker convertible on beach; Brownie 8 Movie Camera; Fantastic 2-page colour photo 7up ad shows young blond making ice cream float for five young men; Ford Galaxie; International Trucks; Morris 1000 car; Nice two-page color Chevrolet ad featuring a 1960 Pontiac Bonneville Sustom Safari catching the ferry to Isle Royale National Park in Lake Superior; Newport cigarettes; Great one-page color-photo Smirnoff ad featuring Joan Fontaine and her husband, Collier Young; Orange Crush; Admiral portable TVs - 19" portable; Renault Dauphine; Borden's Peach Blossom Ice Cream; De Beers Diamonds; Papst Beer - with color photo of piano player and stage entertainers; Amity Wallets; Dodge Dart Car (inside back cover). Above-average wear. Unmarked. Not pretty but a worthy vintage copy.; Magazine; Folio - over 12" - 15" tall; The Saturday Evening Post, June 11, 1960 - My Friend, Trotsky's Assassin / Laurence Harvey Larushka Mischa Skikne Swamp Girl; Hour of Panic; Return From Nowhere; Hard of Heart. Articles: My Friend, Trotsky's Assassin - Jacques Mornard - with numerous ph.

Paperback. Condition: Brand New. 394 pages. 9.00x6.00x0.99 inches. This item is printed on demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand pp. 378.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condition: Neu. Python Machine Learning Blueprints - Second Edition | Alexander Combs (u. a.) | Taschenbuch | Englisch | 2019 | Packt Publishing | EAN 9781788994170 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.