Advanced Data Analytics Using Python
by Sayan Mukhopadhyay
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see examples of machine learning concepts such as semi-su...
Price: $29.01 | Publisher: Apress | Release: 2018
Applied Analytics through Case Studies Using SAS and R 
by Deepti Gupta
Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real ...
Price: $28.84 | Publisher: Apress | Release: 2018
Pro Machine Learning Algorithms
by Kishore Ayyadevara
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model...
Price: $37.99 | Publisher: Apress | Release: 2018
by Hien Luu
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured ...
Price: $25.33 | Publisher: Apress | Release: 2018
by Vishnu Pendyala
Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V's of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction ...
Price: $32.99 | Publisher: Apress | Release: 2018
Applied Natural Language Processing with Python
by Taweh Beysolow II
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms.Applied Natural Language Processing with Python starts with reviewing the necessary ...
Price: $25.19 | Publisher: Apress | Release: 2018
by Manuel Amunategui, Mehdi Roopaei
Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book - Amazon, Microsoft, Google, and PythonAnywhere.You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book ar...
Price: $31.75 | Publisher: Apress | Release: 2018
Practical Java Machine Learning
by Mark Wickham
Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your...
Price: $28.17 | Publisher: Apress | Release: 2018
Feature Engineering for Machine Learning
by Alice Zheng, Amanda Casari
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features - the numeric representations of raw data - into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, ...
Price: $29.93 | Publisher: O'Reilly Media | Release: 2018
Applied Text Analysis with Python
by Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical...
Price: $40.44 | Publisher: O'Reilly Media | Release: 2018