Rushdi Shams

数据库

This book is for Java developers who are familiar with the fundamentals of data science and want to improve their skills to become a pro.

左学荣

数据库

本书共分11章，以成功打造品牌的11个实操步骤为行文逻辑，分别介绍了“圈脑”为上、奇货可居、善解人意、价值独占、演绎传奇、符号记易、创优体验、借势用巧、汇聚百工、文案攻心、心中有数等内容，为企业从无到有创建品牌，提供系统专业、卓有成效的实操方法论及实用战术工具。

Alexis Perrier

数据库

This book is intended for data scientists and managers of predictive analytics projects; it will teach beginner- to advanced-level machine learning practitioners how to leverage Am

Dr. Fatih Nayebi

数据库

Meant for a reader who knows object-oriented programming, has some experience with Objective-C/Swift programming languages and wants to further enhance his skills with functional p

Alexey Grigorev

数据库

This book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will a

Mitesh Soni

数据库

This book is for DevOps engineers, system administrators, and developers (.net) who want to implement DevOps for their organization. You do not need to have any knowledge of VSTS o

Jorge Palacios

数据库

This book is intended for those who already have a basic knowledge of Unity and are eager to get more tools under their belt to solve AI and gameplay-related problems.

Michał Jaworski Tarek Ziadé

数据库

Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable,

Rob High Tanmay Bakshi

数据库

Cognitive computing is rapidly infusing every aspect of our lives riding on three important fields: data science, machine learning (ML), and artificial intelligence (AI). It allows

Julio Cesar Rodriguez Martino

数据库

We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can fee

Stephen Klosterman

数据库

Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic dat

Mark Hodnett Joshua F. Wiley Yuxi Liu Pablo Maldo

数据库

Deep learning finds practical applications in several domains, while R is the preferred language for designing and deploying deep learning models.This Learning Path introduces you

Gaurav Aroraa Jeffrey Chilberto

数据库

Design patterns are essentially reusable solutions to common programming problems. When used correctly, they meet crucial software requirements with ease and reduce costs. This boo

Anish Chapagain

数据库

Web scraping is an essential technique used in many organizations to scrape valuable data from web pages. This book will enable you to delve deeply into web scraping techniques and

Unmesh Gundecha Carl Cocchiaro

数据库

Selenium WebDriver 3.x is an open source API for testing both browser and mobile applications. With the help of this book, you can build a solid foundation and can easily perform e

Kenny Vaneetvelde

数据库

Ethereum enables the development of efficient, smart contracts that contain code. These smart contracts can interact with other smart contracts to make decisions, store data, and s

Michael Pawlus Rodger Devine

数据库

Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms

Jay Dawani

数据库

Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you unders

Marc Wintjen Andrew Vlahutin

数据库

Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This

Sam Morley

数据库

Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way