Python data mining and machine learning in action

Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field. The new

Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms。 Specifically， the book distinguishes the inner nature

Universities and colleges are in a unique position to take a leadership role onglobal warming. As communities, they can strategize and organize effective action. As laboratoriesfor learning and center

Workbook and disk containing four years of financial data from income statement and balance sheet information for over a hundred companies in almost fifty industries to supplement courses on all level

The process of inductive inference -- to infer general laws and principles from particular instances -- is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Des

Available packaged with the text at a substantial discount, takes in statistical data, analyzes it, and organize it to get results. Features in Minitab include: a graph editor with easy-to-use drawing

College Algebra: A Concise Course provides a solid understanding of algebra, using modeling techniques and real-world data applications. The text is effective for students who will continue on in math

This updated edition offers a thorough presentation of both the technical and business aspects of data and voice communications in a single volume. Comprehensive coverage explores all the latest tele

This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. Computational finance, an excit

While this book evolves naturally from de Shazer's earlier works, here he abandons his characteristically terse style. He quotes not only Sherlock Holmes ("It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts") but also Freud ("Words were originally magic and to this day words have retained much of their ancient magical power.... Thus we shall not depreciate the use of words in psychotherapy and we shall be pleased if we can listen to the words that pass between the analyst and his patient") in emphasizing the importance of a close study of the therapeutic conversation. In explicating how language works in therapy, he ranges widely, citing and critiquing Lacan, Bateson, Ackerman, and Weakland, among others.But the heart of this book can be found in the detailed conversations between client and therapist that show solution-focused therapy in action. The magic of words can be seen in the miracle

Zechmeister and Posavac's unique, progressive pedagogical framework presents students with a model of analysis and interpretation called "I-D-E-A". This cutting edge model leads students through the p

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the d

The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inv

In this thought-provoking study of work, worker, and machine in the postindustrial age, Hirschhorn points out that factories will become places of learning where the worker must be able to diagnose an