Leverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest features.Key Features\[\*\] Build functional, type-safe routines to interact with relational and NoSQL databases with the help of the tutorials and examples provided\[\*\] Leverage your expertise in Scala programming to create and customize your own scalable machine learning algorithms...

Leverage the power of Scala with different tools to build scalable, robust data science applicationsKey Features\[\*\] A complete guide for scalable data science solutions, from data ingestion to data visualization\[\*\] Deploy horizontally scalable data processing pipelines and take advantage of web frameworks to build engaging visualizations\[\*\] Build functional, type-safe routines to interact with relational and NoSQL databases with the he...

Scala will be a valuable tool to have on hand during your data science journey for everything from data cleaning to cutting-edge machine learningAbout This BookBuild data science and data engineering solutions with easeAn in-depth look at each stage of the data analysis process — from reading and collecting data to distributed analyticsExplore a broad variety of data processing, machine learning, and genetic algorithms through di...

If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python’s many role...

If you’ve been asked to maintain large and complex Hadoop clusters, this book is a must. Demand for operations-specific material has skyrocketed now that Hadoop is becoming the de facto standard for truly large-scale data processing in the data center. Eric Sammer, Principal Solution Architect at Cloudera, shows you the particulars of running Hadoop in production, from planning, installing, and configuring the system to providing ongoing maintenance.Rather than run through all poss...

This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems.

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective....

This book is your guide to exploring the possibilities in the field of deep learning, making use of Google\\'s TensorFlow. You will learn about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data.Key Features\[\*\] Explore various possibilities with deep learning and gain amazing insights from data using Google’s brainchild-- TensorFlow\[\*\] Want to learn what more can be do...

This book constitutes the refereed proceedings of the 23rd China Conference on Information Retrieval, CCIR 2017, held in Shanghai, China, in July 2017. The 21 full papers presented were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections: recommendation; understanding users; NLP for IR; IR and applications; query processing and analysis.

Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case.To reinforce those lessons, the book’s second section provides detailed examples of architectures used in some of the most common...

Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL APIKey Features\[\*\] Learn about the design and implementation of streaming applications, machine learning pipelines, deep learning, and large-scale graph processing applications using Spark SQL APIs and Scala.\[\*\] Learn data exploration, data munging, and how to process structured and semi-structured data using real-wor...

With this book and your basic programming knowledge, you ll find it easy to use LiveCode to create mobile apps for Android and iOS. A great starting point for taking the app store by storm.Key FeaturesCreate fun, interactive apps with rich media features of LiveCodeStep-by-step instructions for creating apps and interfacesDive headfirst into mobile application development using LiveCode backed with clear explanations enriched with ample screens...