Search

Search Results

Results 1-5 of 5 (Search time: 0.077 seconds).
  • Previous
  • 1
  • Next
Item hits:
  • Sách/Book


  • Authors: Bruce L. Bowerman (2017)

  • The textbook employs realistic examples, continuing case studies and a business improvement theme to teach the material. The Eighth Edition features more concise and lucid explanations, an improved topic flow and a sensible use of the best and most compelling examples.

  • Sách/Book


  • Authors: Abhijit Ghatak (2017)

  • This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it's applications to machine learning. It also includes a detailed introduction to the concepts and constraints of machine learning and what is involved in designing a learning algorithm. This part helps readers understand the mathematical and statistical aspects of machine learning

  • Sách/Book


  • Authors: Paul C. Cozby (2017)

  • Methods in Behavioral Research continues to guide students toward success by helping them study smarter and more efficiently. In tandem with SmartBook, McGraw-Hill’s adaptive and personalized reading experience, Cozby and Bates provide helpful pedagogy, rich examples, and a clear voice in their approach to methodological decision-making.