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Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 1.53

Unread book in perfect condition.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Cutting-edge machine learning principles, practices, and applicationsThis comprehensive textbook explores the theoretical under¬pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed.Coverage includes:·Supervised learning·Statistical learning·Learning with support vector machines (SVM)·Learning with neural networks (NN)·Fuzzy inference systems·Data clustering·Data transformations·Decision tree learning·Business intelligence·Data mining·And much more

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Cutting-edge machine learning principles, practices, and applicationsThis comprehensive textbook explores the theoretical under¬pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed.Coverage includes:·Supervised learning·Statistical learning·Learning with support vector machines (SVM)·Learning with neural networks (NN)·Fuzzy inference systems·Data clustering·Data transformations·Decision tree learning·Business intelligence·Data mining·And much more

Book is in NEW condition. 1.53

Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas.  This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code.A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use).Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:· classification using standard machinery (naive bayes; nearest neighbor; SVM)· clustering and vector quantization (largely as in PSCS)· PCA (largely as in PSCS)· variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)· linear regression (largely as in PSCS)· generalized linear models including logistic regression· model selection with Lasso, elasticnet· robustness and m-estimators· Markov chains and HMM’s (largely as in PSCS)· EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they’ve been through that, the next one is easy· simple graphical models (in the variational inference section)· classification with neural networks, with a particular emphasis onimage classification· autoencoding with neural networks· structure learning

Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas.  This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code.A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use).Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:· classification using standard machinery (naive bayes; nearest neighbor; SVM)· clustering and vector quantization (largely as in PSCS)· PCA (largely as in PSCS)· variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)· linear regression (largely as in PSCS)· generalized linear models including logistic regression· model selection with Lasso, elasticnet· robustness and m-estimators· Markov chains and HMM’s (largely as in PSCS)· EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they’ve been through that, the next one is easy· simple graphical models (in the variational inference section)· classification with neural networks, with a particular emphasis onimage classification· autoencoding with neural networks· structure learning

Rust-Oleum Professional 1 gal. Light Machine Gray Gloss Low VOC Protective Enamel (Case of 2) provides superior coverage, hiding and corrosion protection. They can be applied to metal, wood, concrete and masonry. Designed to resist abrasion, prevent corrosion and retain its color in the toughest environments.

PPG Paints SPEEDHIDE Interior Paint is our best professional interior latex formulated to meet the performance requirements of professional applicators. SPEEDHIDE Interior Latex is designed as a high hiding product when applied by brush, roller or spray. This low-VOC*, low-odor paint enables a space to be painted while occupied, delivering the durable product performance required. It dries to a uniform finish to help hide tape joints and surface imperfections. SPEEDHIDE Interior Latex is recommended for all interior walls, ceilings and trim where a uniform finish is desirable. Color: Machine Green.

PPG Paints SPEEDHIDE Interior Paint is our best professional interior latex formulated to meet the performance requirements of professional applicators. SPEEDHIDE Interior Latex is designed as a high hiding product when applied by brush, roller or spray. This low-VOC*, low-odor paint enables a space to be painted while occupied, delivering the durable product performance required. It dries to a uniform finish to help hide tape joints and surface imperfections. SPEEDHIDE Interior Latex is recommended for all interior walls, ceilings and trim where a uniform finish is desirable. Color: Machine Green.

PPG Paints SPEEDHIDE Interior Paint is our best professional interior latex formulated to meet the performance requirements of professional applicators. SPEEDHIDE Interior Latex is designed as a high hiding product when applied by brush, roller or spray. This low-VOC*, low-odor paint enables a space to be painted while occupied, delivering the durable product performance required. It dries to a uniform finish to help hide tape joints and surface imperfections. SPEEDHIDE Interior Latex is recommended for all interior walls, ceilings and trim where a uniform finish is desirable. Color: Machine Green.

With this machines in motion building set, children engineer their own playtime fun with the help of creative, open-ended building activities. Using the included instructions, children can build their own versions of numerous different interactive machines and vehicles, many of which incorporate special parts including a wrecking ball, chains, pulleys, and wheels. Turn out a tank with its own helicopter propeller or craft a complex contraption that spins with the twist of a lever. Children can also set the instructions aside and bring their own designs to life. Thanks to the open-ended designs and interchangeable parts, this set encourages children to discover their inner engineer and hone STEM skills such as critical thinking and trial and error. Interchangeable parts work with other Learning Resources Gears sets (sold separately) to increase the playability of every piece. Building set is designed for children ages 4 and above.

PPG Paints SPEEDHIDE Interior Paint is our best professional interior latex formulated to meet the performance requirements of professional applicators. SPEEDHIDE Interior Latex is designed as a high hiding product when applied by brush, roller or spray. This low-VOC*, low-odor paint enables a space to be painted while occupied, delivering the durable product performance required. It dries to a uniform finish to help hide tape joints and surface imperfections. SPEEDHIDE Interior Latex is recommended for all interior walls, ceilings and trim where a uniform finish is desirable. Color: Machine Green.

Rust-Oleum Professional High Performance Enamel Sprays provide superior coverage, hiding and corrosion protection. They can be applied to metal, wood, concrete and masonry. Designed to resist abrasion, prevent corrosion and retain its color in the toughest environments. It features a high output tip that decreases project time and any-angle spray feature that allows you to spray in any direction, even upside down. Color: Light Machine Gray.

A fully self-contained introduction to machine learning. All that the reader requires is an understanding of the basics of matrix algebra and calculus. Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the most important techniques. Chapter list:Introduction (Putting ML into context. Comparing and contrasting with classical mathematical and statistical modelling)General Matters (In one chapter all of the mathematical concepts you'll need to know. From jargon and notation to maximum likelihood, from information theory and entropy to bias and variance, from cost functions to confusion matrices, and more)K Nearest Neighbours K Means ClusteringNaïve Bayes ClassifierRegression MethodsSupport Vector MachinesSelf-Organizing MapsDecision TreesNeural NetworksReinforcement LearningAn appendix contains links to data used in the book, and more.The book includes many real-world examples from a variety of fields includingfinance (volatility modelling)economics (interest rates, inflation and GDP)politics (classifying politicians according to their voting records, and using speeches to determine whether a politician is left or right wing)biology (recognising flower varieties, and using heights and weights of adults to determine gender)sociology (classifying locations according to crime statistics)gambling (fruit machines and Blackjack)business (classifying the members of his own website to see who will subscribe to his magazine)Paul Wilmott brings three decades of experience in education, and his inimitable style, to this, the hottest of subjects. This book is an accessible introduction for anyone who wants to understand the foundations and put the tools into practice.Paul Wilmott has been called “cult derivatives lecturer” by the Financial Times and “financial mathematics guru” by the BBC.

The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning.You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems.Preprocess and vectorize text into high-dimensional feature representationsPerform document classification and topic modelingSteer the model selection process with visual diagnosticsExtract key phrases, named entities, and graph structures to reason about data in textBuild a dialog framework to enable chatbots and language-driven interactionUse Spark to scale processing power and neural networks to scale model complexity

New! This book is in the same immaculate condition as when it was published 1.43

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.43

VEVOR Chamber Vacuum Sealer, 1200W Sealing Power, Vacuum Packing Machine for Wet Foods, Meats, Marinades and More, Compact Size with 23.62" Sealing Length, Applied in Home Kitchen and Commercial UsePowerful MotorMultiple FunctionsSealing Pressure Bar DesignEverything You NeedVersatile UsageFreshness MaintenanceNoise: ≤ 70dB,Item Model Number: DZ-600-2S-V1,Sealing Width (Bag): 0.5 in/12 mm,Product Weight: 398.4 lbs/180.8 kg,Chamber Size: 26.38 x 21.65 x 1.57 in/670 x 550 x 40 mm,Sealing Power: 1.2KW,Number of Machine Sealing Bars: 4,Sealing Length (Bag): 23.62 in/600 mm,Max Relative Vacuum: -100kPa,Product Size: 57.09 x 27.56 x 36.61 in/1450 x 700 x 930 mm