Tag: Applied

Bringing Bayesian Models to Life Front Cover

Bringing Bayesian Models to Life

  • Length: 590 pages
  • Publication Date: 2019-06-11
5.0
2 ratings
Bayesian Applications in Pharmaceutical Development Front Cover

Bayesian Applications in Pharmaceutical Development

  • Length: 532 pages
  • Publication Date: 2019-10-11
0
0 ratings
Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals Front Cover

Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals

  • Length: 336 pages
  • Publication Date: 2019-12-17
4.9
40 ratings
Statistics for Every Fan: Springfield College Sports Statistics Front Cover

Statistics for Every Fan: Springfield College Sports Statistics

  • Length: 318 pages
  • Publication Date: 2020-08-30
0
0 ratings
Linear Algebra and Matrix Computations with Matlab Front Cover

Linear Algebra and Matrix Computations with Matlab

  • Length: 301 pages
  • Publication Date: 2020-03-23
0
0 ratings
Partial Differential Equations: An Unhurried Introduction Front Cover

Partial Differential Equations: An Unhurried Introduction

  • Length: 276 pages
  • Publication Date: 2020-06-08
0
0 ratings
Chromatic Graph Theory Front Cover

Chromatic Graph Theory

  • Length: 525 pages
  • Publication Date: 2019-11-26
0
0 ratings
One Thousand Exercises in Probability: 3rd Edition Front Cover

One Thousand Exercises in Probability: 3rd Edition

  • Length: 592 pages
  • Publication Date: 2020-08-12
5.0
1 ratings
Calculus for Engineering Students: Fundamentals, Real Problems, and Computers Front Cover

Calculus for Engineering Students: Fundamentals, Real Problems, and Computers

  • Length: 370 pages
  • Publication Date: 2020-08-27
0
0 ratings
Algorithmic Trading and Quantitative Strategies Front Cover

Algorithmic Trading and Quantitative Strategies

  • Length: 450 pages
  • Publication Date: 2020-08-06
0
0 ratings
Basic Analysis IV: Measure Theory and Integration Front Cover

Basic Analysis IV: Measure Theory and Integration

  • Length: 500 pages
  • Publication Date: 2020-08-13
0
0 ratings
MACHINE LEARNING WITH PYTHON: Learn the art of Programming with a complete crash course for beginners. Strategies to Master Data Science, Numpy, Keras, Pandas and Arduino like a Pro in 7 days Front Cover

MACHINE LEARNING WITH PYTHON: Learn the art of Programming with a complete crash course for beginners. Strategies to Master Data Science, Numpy, Keras, Pandas and Arduino like a Pro in 7 days

  • Length: 146 pages
  • Publication Date: 2020-08-18
0
0 ratings