Download Programming Computer Vision with Python Jan Erik Solem(.PDF)

Programming Computer Vision with Python by Jan Erik Solem
Requirements: PDF Reader, 69 MB
Overview: Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.
Genre: Non-Fiction > Computer Programming & Software Development

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Download R: Data Analysis & Visualization by Tony Fischetti (.ePUB)+

R: Data Analysis and Visualization (+code) by Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi V. Mittal, Bater Makhabel
Requirements: PDF Reader, ePUB Reader, 313,5 MB
Overview: The R learning path created for you has five connected modules,which are a mini-course in their own right.As you complete each one, you’ll have gained key skills and be ready for the material in the next module!
Genre: Non Fiction > Programming

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This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You’ll gain a thorough understanding of statistical reasoning and sampling. Finally, you’ll be able to put best practices into effect to make your job easier and facilitate reproducibility.

The second place to explore is R Graphs,which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. Through inspecting large datasets using tableplot and stunning 3D visualizations, you will know how to produce, customize, and publish advanced visualizations using this popular and powerful framework.

With the third module, Learning Data Mining with R, you will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. You will finish this module feeling confident in your ability to know which data mining algorithm to apply in any situation.

The Mastering R for Quantitative Finance module pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the module, you will be well-versed with various financial techniques using R and will be able to place good bets while making financial decisions.

Finally, we’ll look at the Machine Learning with R module. With this module, you’ll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. You’ll also learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering.

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Download C++ High Performance by Viktor Sehr (.PDF)

C++ High Performance by Viktor Sehr, Björn Andrist
Requirements: PDF Reader, 5.3 mb
Overview: C++ is a highly portable language and can be used to write complex applications and performance-critical code. It has evolved over the last few years to become a modern and expressive language. This book will guide you through optimizing the performance of your C++ apps by allowing them to run faster and consume fewer resources on the device they’re running on. The book begins by helping you to identify the bottlenecks in C++. It then moves on to measuring performance, and you’ll see how this affects the way you write code. Next, you’ll see the importance of data structure optimization and how it can be used efficiently. After that, you’ll see which algorithm should be used to achieve faster execution, followed by how to use STL containers. Moving on, you’ll learn how to improve memory management in C++.
You’ll get hands on experience making use of multiple cores to enable more efficient and faster execution. The book ends with a brief overview of utilizing the capabilities of your GPU by using Boost Compute and OpenCL.
Genre: Non Fiction > Computers & Technology

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Download Java EE 8 High Performance by Romain Manni-Bucau (.ePUB)

Java EE 8 High Performance by Romain Manni-Bucau
Requirements: ePub Reader, 10.2 mb
Overview: Get more control of your applications performances in development and production and know how to meet your Service Level Agreement on critical microservices.
The ease with which we write applications has been increasing, but with this comes the need to address their performance. A balancing act between easily implementing complex applications and keeping their performance optimal is a present-day need. In this book, we explore how to achieve this crucial balance while developing and deploying applications with Java EE 8.
The book starts by analyzing various Java EE specifications to identify those potentially affecting performance adversely. Then, we move on to monitoring techniques that enable us to identify performance bottlenecks and optimize performance metrics. Next, we look at techniques that help us achieve high performance: memory optimization, concurrency, multi-threading, scaling, and caching. We also look at fault tolerance solutions and the importance of logging. Lastly, you will learn to benchmark your application and also implement solutions for continuous performance evaluation.
By the end of the book, you will have gained insights into various techniques and solutions that will help create high-performance applications in the Java EE 8 environment.
Genre: Non Fiction > Computers & Technology

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Download Hands-On Data Structures by Kashyap Mukkama (.ePUB)

Hands-On Data Structures and Algorithms with JavaScript by Kashyap Mukkamala
Requirements: ePub Reader, 10.2 mb
Overview: Increase your productivity by implementing complex data structures and algorithms using JavaScript
Data structures and algorithms are the fundamental building blocks of computer programming. They are critical to any problem, provide a complete solution, and act like reusable code. Using appropriate data structures and having a good understanding of algorithm analysis are key in JavaScript to solving crises and ensuring your application is less prone to errors.
Do you want to build applications that are high-performing and fast? Are you looking for complete solutions to implement complex data structures and algorithms in a practical way? If either of these questions rings a bell, then this book is for you!
You’ll start by building stacks and understanding performance and memory implications. You will learn how to pick the right type of queue for the application. You will then use sets, maps, trees, and graphs to simplify complex applications. You will learn to implement different types of sorting algorithm before gradually calculating and analyzing space and time complexity. Finally, you’ll increase the performance of your application using micro optimizations and memory management.
By the end of the book you will have gained the skills and expertise necessary to create and employ various data structures in a way that is demanded by your project or use case.
Genre: Non Fiction > Computers & Technology

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