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  • Book

  • Introduction To Machine Learning With Python

    • Tác giả : C. Müller, Andreas (2017)

  • You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.
  • Book

  • An Introduction to Data:

    • Tác giả : Francesco Corea (2019)

  • This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a revie...
  • Book

  • Big Data and Health Analytics

    • Authors: Katherine Marconi (2015)

  • Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this is not a technical book on the use of statistics and machine-learning algorithms for extracting knowledge out of data, nor a book on the intricacies of database design. Instead, this book presents the current thinking of academic and industry researchers and leaders from around the world.
  • Book

  • Machine Learning with R: Expert Techniques for Predictive Modeling to Solve All Your Data Analysis Problems

    • Tác giả : Lantz, Brett (2016)

  • The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentat...
  • Book

  • Big data for dummies

    • Tác giả : Judith Hurwitz (2013)

  • Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work.
  • Book

  • Analytics in a big data world : the essential guide to data science and its applications

    • Tác giả : Bart Baesens (2014)

  • The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic.
  • Book

  • Computer Architecture

    • Tác giả : Hennessy, John (2017)

  • Computer Architecture: A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students and practitioners of computer design for over 20 years. The sixth edition of this classic textbook from Hennessy and Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, is fully revised with the latest developments in processor and system architecture. The text now features examples from the RISC-V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard. It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the fi...
  • Book

  • Fundamentals of database systems

    • Tác giả : Ramez Elmasri (2016)

  • Giới thiệu các khái niệm cơ bản cần thiết cho việc thiết kế, sử dụng và thực hiện các hệ thống cơ sở dữ liệu và những ứng dụng của nó, tập trung chủ yếu vào các kiến thức nền tảng cho thiết kế và lập mô hình cơ sở dữ liệu, các kỹ thuật sử dụng hệ thống cơ sở dữ liệu; Sử dụng ngôn ngữ lập trình SQL thiết lập trang web, an ninh mạng
  • Book

  • Modern operating systems.

    • Tác giả : Andrew S. Tanenbaum (2015)

  • Modern Operating Systems, Fourth Edition, is intended for introductory courses in Operating Systems in Computer Science, Computer Engineering, and Electrical Engineering programs. It also serves as a useful reference for OS professionals ? The widely anticipated revision of this worldwide best-seller incorporates the latest developments in operating systems (OS) technologies. The Fourth Edition includes up-to-date materials on relevant?OS. Tanenbaum also provides information on current research based on his experience as an operating systems researcher. ? Modern Operating Systems, Third Editionwas the recipient of the 2010 McGuffey Longevity Award. The McGuffey Longevity Award recognizes textbooks whose excellence has been demonstrated over time.?... ?? Teaching and Learning Experie...