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Soft cover. Zustand: New. Description Should I choose supervised learning or reinforcement learning? Which algorithm is best suited for my application? How does deep learning advance the capacities of problem-solving? If you have found yourself asking these questions, this book is specially developed for you. The book will help readers understand the core concepts of machine learning and techniques to evaluate any machine learning model with ease. The book starts with the importance of machine learning by analyzing its impact on the global landscape. The book also covers Supervised and Unsupervised ML along with Reinforcement Learning. In subsequent chapters, the book explores these topics in even greater depth, evaluating the pros and cons of each and exploring important topics such as Bias-Variance Tradeoff, Clustering, and Dimensionality Reduction. The book also explains model evaluation techniques such as Cross-Validation and GridSearchCV. The book also features mind maps which help enhance the learning process by making it easier to learn and retain information. This book is a one-stop solution for covering basic ML concepts in detail and the perfect stepping stone to becoming an expert in ML and deep learning and even applying them to different professions. What you will learn ● Understand important concepts to fully grasp the idea of supervised learning. ● Get familiar with the basics of unsupervised learning and some of its algorithms. ● Learn how to analyze the performance of your Machine Learning models. ● Explore the different methodologies of Reinforcement Learning.…

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Paperback or Softback. Zustand: New. Mastering Zero-knowledge Proofs: Practical study of security, scalability, and privacy in blockchain and modern systems (English Edition). Book.

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

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

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

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

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

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Paperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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

Paperback. Zustand: new. Paperback. Volume I of a complete graduate course in time series analytics. Foundations and Linear Models in eighteen rigorous chapters, with theorems, full proofs, and runnable Python on real markets.This is the textbook the author wished he had when first standing in front of a quantitative graduate audience. The literature splits, awkwardly, into rigorous monographs that assume more probability theory than most applied students bring; econometrics texts that move past foundations to applications; and software-first introductions that get students producing forecasts but unable to defend a single line of the underlying derivation. Time Series Analytics: Theory and Python Practice sits in a different middle. Every chapter combines formal theory with working code.Volume I covers: Foundations (Chapters 1-8): stochastic processes; classical decomposition and STL; smoothing filters and exponential smoothing; the autocorrelation function; portmanteau tests for noise; variance-stabilising transformations.Linear models (Chapters 9-18): the Wold decomposition; backshift-operator calculus; the MA, AR, ARMA, ARIMA, and SARIMA families with full Box-Jenkins identification; transfer-function models; and two end-of-volume Python applications on Indian-equity data (MRF Limited daily ARIMA; NIFTY 50 monthly SARIMA).What makes this different: Two theorems per chapter, with full proofs in the Brockwell-Davis tradition. No "as the reader can show".Two worked examples per chapter: one synthetic so the student can verify by hand, one drawn from a real Indian-equity series - NIFTY 50, NIFTY Bank, MRF, Reliance Industries.Five graded discussion questions per chapter, with full worked solutions in the back-matter Solutions Appendix.Pinned numerical results. Every empirical claim is pinned to the exact output of a seeded Python run. Reproduce with np.random.seed(42).For graduate students in statistics, financial engineering, applied mathematics, and quantitative economics - and for the practitioner who wants both the theory and the working code in a single self-contained text.Prerequisites: probability through the central limit theorem; linear algebra including Cholesky decomposition; idiomatic NumPy and pandas. No prior exposure to statsmodels, arch, or yfinance is assumed.Volume II (sold separately) covers Estimation, Forecasting and Diagnostics; Multivariate and Volatility Models (VAR, Granger causality, IRFs, cointegration, ARCH/GARCH/EGARCH/GJR-GARCH and Value-at-Risk); and four end-to-end Python projects on Bitcoin volatility and a Gold-Bitcoin VAR.Approximately 495 pages - 18 chapters - 90 worked discussion-question solutions - dataset whitelist (NIFTY 50, NIFTY Bank, MRF, Reliance) - full reproducibility under np.random.seed(42). This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

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

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

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

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Are you travelling to Delhi but don't know what to do or places to visit Are you afraid that you will not get the most of your travels to Delhi This book will guide you to the top places to visit in Delhi. Delhi is a big place and the last thing you want to do is waste your time going from one place to another aimlessly. So why not get this book and check out the top places to explore. The book contains a description of each of the places and other tourist information. …

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Oral cavity of humans is, but a reservoir of micro- organisms .' Candida albicans and related species are the most common fungal opportunistic pathogens. In the oral cavity this microorganism is found more on the dorsum of the tongue and the buccal mucosa. These organisms are widely known to cause oral candidosis and denture stomatitis. Failure to maintain adequate hygiene of the prosthesis has been shown to be associated with a high level of oral Candida colonization, with surface roughness of prosthesis providing niches in which the micro-organisms are protected from shear forces and oral hygiene measures, thus, allowing the entrapped microbial cells enough time to attach irreversibly and penetrate into the prosthesis surface. This book evaluates the in-vitro adherence and penetration by Candida albicans into three different denture base materials and consequently might aid in decreasing the occurrence of oral Candida associated denture stomatitis in denture wearers. 76 pp. Englisch.…

Paperback. Zustand: new. Paperback. Volume I of a complete graduate course in time series analytics. Foundations and Linear Models in eighteen rigorous chapters, with theorems, full proofs, and runnable Python on real markets.This is the textbook the author wished he had when first standing in front of a quantitative graduate audience. The literature splits, awkwardly, into rigorous monographs that assume more probability theory than most applied students bring; econometrics texts that move past foundations to applications; and software-first introductions that get students producing forecasts but unable to defend a single line of the underlying derivation. Time Series Analytics: Theory and Python Practice sits in a different middle. Every chapter combines formal theory with working code.Volume I covers: Foundations (Chapters 1-8): stochastic processes; classical decomposition and STL; smoothing filters and exponential smoothing; the autocorrelation function; portmanteau tests for noise; variance-stabilising transformations.Linear models (Chapters 9-18): the Wold decomposition; backshift-operator calculus; the MA, AR, ARMA, ARIMA, and SARIMA families with full Box-Jenkins identification; transfer-function models; and two end-of-volume Python applications on Indian-equity data (MRF Limited daily ARIMA; NIFTY 50 monthly SARIMA).What makes this different: Two theorems per chapter, with full proofs in the Brockwell-Davis tradition. No "as the reader can show".Two worked examples per chapter: one synthetic so the student can verify by hand, one drawn from a real Indian-equity series - NIFTY 50, NIFTY Bank, MRF, Reliance Industries.Five graded discussion questions per chapter, with full worked solutions in the back-matter Solutions Appendix.Pinned numerical results. Every empirical claim is pinned to the exact output of a seeded Python run. Reproduce with np.random.seed(42).For graduate students in statistics, financial engineering, applied mathematics, and quantitative economics - and for the practitioner who wants both the theory and the working code in a single self-contained text.Prerequisites: probability through the central limit theorem; linear algebra including Cholesky decomposition; idiomatic NumPy and pandas. No prior exposure to statsmodels, arch, or yfinance is assumed.Volume II (sold separately) covers Estimation, Forecasting and Diagnostics; Multivariate and Volatility Models (VAR, Granger causality, IRFs, cointegration, ARCH/GARCH/EGARCH/GJR-GARCH and Value-at-Risk); and four end-to-end Python projects on Bitcoin volatility and a Gold-Bitcoin VAR.Approximately 495 pages - 18 chapters - 90 worked discussion-question solutions - dataset whitelist (NIFTY 50, NIFTY Bank, MRF, Reliance) - full reproducibility under np.random.seed(42). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dua AmitDr.Amit Dua :MDS,PGDMLS. Studied Prosthodontia at Rajiv Gandhi University of Health Sciences at M.S.Ramaiah Dental College,Bangalore,India. Assistant Professor at Awadh Dental College and Hospital, India. Fellow of Academy .…