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Author: David Finkelstein Publisher: Routledge ISBN: 1134380062 Category : Social Science Languages : en Pages : 167
Book Description
This is a comprehensive introduction to books and print culture which examines the move from the spoken word to written texts, the book as commodity, the power and profile of readers, and the future of the book in an electronic age.
Author: David Finkelstein Publisher: Routledge ISBN: 1134380062 Category : Social Science Languages : en Pages : 167
Book Description
This is a comprehensive introduction to books and print culture which examines the move from the spoken word to written texts, the book as commodity, the power and profile of readers, and the future of the book in an electronic age.
Author: Gareth James Publisher: Springer Nature ISBN: 3031387473 Category : Mathematics Languages : en Pages : 617
Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Author: Jacob T. Schwartz Publisher: Courier Corporation ISBN: 0486143708 Category : Mathematics Languages : en Pages : 198
Book Description
Realizing that matrices can be a confusing topic for the beginner, the author of this undergraduate text has made things as clear as possible by focusing on problem solving, rather than elaborate proofs. He begins with the basics, offering students a solid foundation for the later chapters on using special matrices to solve problems.The first three chapters present the basics of matrices, including addition, multiplication, and division, and give solid practice in the areas of matrix manipulation where the laws of algebra do not apply. In later chapters the author introduces vectors and shows how to use vectors and matrices to solve systems of linear equations. He also covers special matrices — including complex numbers, quaternion matrices, and matrices with complex entries — and transpose matrices; the trace of a matrix; the cross product of matrices; eigenvalues and eigenvectors; and infinite series of matrices. Exercises at the end of each section give students further practice in problem solving. Prerequisites include a background in algebra, and in the later chapters, a knowledge of solid geometry. The book was designed as an introductory text for college freshmen and sophomores, but selected chapters can also be used to supplement advanced high school classes. Professionals who need a better understanding or review of the subject will also benefit from this concise guide.
Author: Walter D. Wallis Publisher: CRC Press ISBN: 1498777627 Category : Mathematics Languages : en Pages : 311
Book Description
What Is Combinatorics Anyway? Broadly speaking, combinatorics is the branch of mathematics dealing with different ways of selecting objects from a set or arranging objects. It tries to answer two major kinds of questions, namely, counting questions: how many ways can a selection or arrangement be chosen with a particular set of properties; and structural questions: does there exist a selection or arrangement of objects with a particular set of properties? The authors have presented a text for students at all levels of preparation. For some, this will be the first course where the students see several real proofs. Others will have a good background in linear algebra, will have completed the calculus stream, and will have started abstract algebra. The text starts by briefly discussing several examples of typical combinatorial problems to give the reader a better idea of what the subject covers. The next chapters explore enumerative ideas and also probability. It then moves on to enumerative functions and the relations between them, and generating functions and recurrences., Important families of functions, or numbers and then theorems are presented. Brief introductions to computer algebra and group theory come next. Structures of particular interest in combinatorics: posets, graphs, codes, Latin squares, and experimental designs follow. The authors conclude with further discussion of the interaction between linear algebra and combinatorics. Features Two new chapters on probability and posets. Numerous new illustrations, exercises, and problems. More examples on current technology use A thorough focus on accuracy Three appendices: sets, induction and proof techniques, vectors and matrices, and biographies with historical notes, Flexible use of MapleTM and MathematicaTM
Author: Alvin Reid Publisher: B&H Publishing Group ISBN: 1433668971 Category : Religion Languages : en Pages : 379
Book Description
'The evangelistic mandate', says Alvin Reid, 'is central to the mission of the church in any age'. In this important new book, Reid traces the essence of evangelism -- its history and character -- teaching Christians how to preach the Gospel effectively. Using methods built upon biblical, historical, and theological foundations, this exhaustive guide integrates doctrinal issues with practical matters of methodology, while developing the personal spirituality of those who seek to carry out the Great Commission. By recognizing the timeless aspects of the evangelistic task and adapting them to today's needs and the needs of the future, Reid gives Christians the tools they need to spread the Word with assurance at the dawn of the new millennium.
Author: Richard S. Sutton Publisher: MIT Press ISBN: 0262352702 Category : Computers Languages : en Pages : 549
Book Description
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Author: Christopher Bartley Publisher: Bloomsbury Publishing ISBN: 1472528514 Category : Philosophy Languages : en Pages : 345
Book Description
Introducing the topics, themes and arguments of the most influential Hindu and Buddhist Indian philosophers, An Introduction to Indian Philosophy leads the reader through the main schools of Indian thought from the origins of Buddhism to the Saiva Philosophies of Kashmir. By covering Buddhist philosophies before the Brahmanical schools, this engaging introduction shows how philosophers from the Brahmanical schools-including Samkhya, Yoga, Nyaya, Vaisheshika, and Mimamsa, as well as Vedanta-were to some extent responding to Buddhist viewpoints. Together with clear translations of primary texts, this fully-updated edition features: • A glossary of Sanskrit terms • A guide to pronunciation • Chronological list of philosophers & works With study tools and constant reference to original texts, An Introduction to Indian Philosophy provides students with deeper understanding of the foundations of Indian philosophy.
Author: V. F. Dem’yanov Publisher: Courier Corporation ISBN: 0486793281 Category : Mathematics Languages : en Pages : 324
Book Description
Geared toward students of mathematical programming, this user-friendly text offers a thorough introduction to the part of optimization theory that lies between approximation theory and mathematical programming. 37 illustrations. 1974 edition.
Author: Michael Driscoll Publisher: Black Dog & Leventhal ISBN: 0762469668 Category : Juvenile Fiction Languages : en Pages : 96
Book Description
This delightful, interactive journey through the history of the world's poetry now includes a removable poster and access to downloadable audio, allowing kids to listen and learn as they experience the magic of the spoken word. Poetry can be fun -- especially when we can read it, hear it, and discover its many delights. A Child's Introduction to Poetry joyously introduces kids (and parents) to the greatest poets in history -- from Homer and Shakespeare to Langston Hughes and Maya Angelou -- and provides excellent examples of their work and commentary on what makes it so special and everlasting. The book covers every style of poem, from epics and odes, to nonsense verse and haikus, and is filled with examples of each one. This multimedia package encourages children to listen, read, and learn, and opens the door to a lifetime of appreciation of a rich literary tradition. Also included is a removable, fold-out poster of "Jabberwocky" by Lewis Carroll, one of history's most iconic poems.
Author: David Finkelstein
Author: David Finkelstein
Author: Gareth James
Author: Jacob T. Schwartz
Author: Walter D. Wallis
Author: Alvin Reid
Author: Richard S. Sutton
Author: Christopher Bartley
Author: V. F. Dem’yanov
Author: Paul Bertie Bull
Author: Michael Driscoll