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Entertaining Mathematical Puzzles
Entertaining Mathematical Puzzles

Only an elementary knowledge of math is needed to enjoy this entertaining compilation of brain-teasers. It includes a mixture of old and new riddles covering a variety of mathematical topics: money, speed, plane and solid geometry, probability, topology, tricky puzzles and more. Carefully explained solutions follow each problem. 65...

Linear Algebra and Probability for Computer Science Applications
Linear Algebra and Probability for Computer Science Applications

Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...

Practical Data Science with R
Practical Data Science with R

Summary

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language...

PyTorch Recipes: A Problem-Solution Approach
PyTorch Recipes: A Problem-Solution Approach
Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look...
Bayesian Time Series Models
Bayesian Time Series Models

'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical...

Introduction to Computational Biology: An Evolutionary Approach
Introduction to Computational Biology: An Evolutionary Approach
In 1982, the first release of the GenBank sequence database contained 601,438 residues. By 2005, this number had grown beyond and continues to increase exponentially. Far from regarding this as “information overload”, we believe the free availability of so much precise and fundamental data on the ultimate constituents of life to be the...
Number Theory for Computing
Number Theory for Computing
There are many surprising connections between the theory of numbers, which is one of the oldest branches of mathematics, and computing and information theory. Number theory has important applications in computer organization and security, coding and cryptography, random number generation, hash functions, and graphics. Conversely, number theorists...
Level Sets and Extrema of Random Processes and Fields
Level Sets and Extrema of Random Processes and Fields
Level Sets and Extrema of Random Processes and Fields discusses how to understand the properties of the level sets of paths as well as how to compute the probability distribution of its extremal values, which are two general classes of problems that arise in the study of random processes and fields and in related applications. This book...
SAS Functions by Example, Second Edition
SAS Functions by Example, Second Edition

Fully updated for SAS 9.2, Ron Cody's SAS Functions by Example, Second Edition, is a must-have reference for anyone who programs in Base SAS. With the addition of functions new to SAS 9.2, this comprehensive reference manual now includes more than 200 functions, including new character, date and time, distance, probability, sort, and...

Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions (Studies in Fuzziness and Soft Computing)
Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions (Studies in Fuzziness and Soft Computing)

Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision...

Disruption by Design: How to Create Products that Disrupt and then Dominate Markets
Disruption by Design: How to Create Products that Disrupt and then Dominate Markets

From Eli Whitney to Henry Ford to Ray Kroc to Steve Jobs, market disruptors have reaped the benefits, including fame and fortune. But do you have to be that rare genius whose unique skills can literally change the world? No. Disrupting a market is a discipline that can be learned. Disruption by Design—a handbook for...

Never Bet the Farm: How Entrepreneurs Take Risks, Make Decisionsand How You Can, Too
Never Bet the Farm: How Entrepreneurs Take Risks, Make Decisionsand How You Can, Too
In Never Bet the Farm two leading entrepreneurs, Anthony Iaquinto and Stephen Spinelli, turn much of the so-called expert advice for entrepreneurs on its head. They show that by preparing for setbacks and using a framework that can help reduce risks and simplify decision making, entrepreneurs can increase their probability for success....
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