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Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Be an adaptive thinker that leads the way to Artificial Intelligence

Key Features

  • AI-based examples to guide you in designing and implementing machine intelligence
  • Develop your own method for future AI solutions
  • Acquire advanced AI, machine learning, and...
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification,...
The Power of Algorithms: Inspiration and Examples in Everyday Life
The Power of Algorithms: Inspiration and Examples in Everyday Life

To examine, analyze, and manipulate a problem to the point of designing an algorithm for solving it is an exercise of fundamental value in many fields. With so many everyday activities governed by algorithmic principles, the power, precision, reliability and speed of execution demanded by users have transformed the design and...

Discrete Mathematics With Algorithms
Discrete Mathematics With Algorithms
This first-year course in discrete mathematics requires no calculus or computer programming experience. The approach stresses finding efficient algorithms, rather than existential results. Provides an introduction to constructing proofs (especially by induction), and an introduction to algorithmic problem-solving. All algorithms are presented in...
Applied Statistics: Theory and Problem Solutions with R
Applied Statistics: Theory and Problem Solutions with R

Instructs readers on how to use methods of statistics and experimental design with R software 

Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds...

Embedded C Programming and the Microchip PIC
Embedded C Programming and the Microchip PIC
This new book is carefully designed to teach C language programming as it applies to embedded microcontrollers and to fuel knowledge in the application of the Microchip family of PIC microcontrollers. Coverage begins with a step-by-step exploration of the C language showing readers how to create C language programs to solve problems. PIC...
The Art of Modeling in Science and Engineering with Mathematica
The Art of Modeling in Science and Engineering with Mathematica
Modeling is practiced in engineering and all physical sciences. Many specialized texts exist - written at a high level - that cover this subject. However, students and even professionals often experience difficulties in setting up and solving even the simplest of models. This can be attributed to three difficulties: the proper choice of model,...
Go in Practice: Includes 70 Techniques
Go in Practice: Includes 70 Techniques

Summary

Go in Practice guides you through 70 real-world techniques in key areas like package management, microservice communication, and more. Following a cookbook-style Problem/Solution/Discussion format, this practical handbook builds on the foundational concepts of the Go language and introduces specific...

Probabilistic Databases (Synthesis Lectures on Data Management)
Probabilistic Databases (Synthesis Lectures on Data Management)
Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of...
Introduction to Statistics Through Resampling Methods and R
Introduction to Statistics Through Resampling Methods and R
A highly accessible alternative approach to basic statistics Praise for the First Edition:  "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."?Technometrics 

Written in a
...
Python Programming: An Introduction to Computer Science
Python Programming: An Introduction to Computer Science

This is the second edition of John Zelle's Python Programming, updated for Python 3. This book is designed to be used as the primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However,...

Modern X86 Assembly Language Programming: Covers x86 64-bit, AVX, AVX2, and AVX-512
Modern X86 Assembly Language Programming: Covers x86 64-bit, AVX, AVX2, and AVX-512
Since the invention of the personal computer, software developers have used x86 assembly language to create innovative solutions for a wide variety of algorithmic challenges. During the early days of the PC era, it was common practice to code large portions of a program or complete applications using x86 assembly...
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