Acquire and analyze data from all corners of the social web with Python :
This book is for Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes just a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data.
Author/Authors: Bonzanini, Marco
Pages: 338 | Published Date: 42580
Category: Data
Extract valuable data from your social media sites and make better business decisions using R :
If you have basic knowledge of R, in terms of its libraries, and are aware of different machine learning techniques, this book is for you. Those with experience in data analysis who are interested in mining social media data will also find this book useful.
Author/Authors: Ravindran, Sharan Kumar | Garg, Vikram
Pages: 248 | Published Date: 42270
Category: Data
Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products :
This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes.
Author/Authors: Morgan, Andrew | Amend, Antoine | George, David | Hallett, Matthew
Pages: 560 | Published Date: 42823
Category: Data
Optimize your machine-generated data effectively by developing advanced analytics with Splunk :
This book is for those Splunk developers who want to learn advanced strategies to deal with big data from an enterprise architectural perspective. You need to have good working knowledge of Splunk.
Author/Authors: Miller, James D.
Pages: 344 | Published Date: 41990
Category: Data
Master selecting, applying, and deploying data mining models to build powerful predictive analysis frameworks with this book and ebook. :
If you are a developer who is working on data mining for large companies and would like to enhance your knowledge of SQL Server Data Mining Suite, this book is for you. Whether you are brand new to data mining or are a seasoned expert, you will be able to master the skills needed to build a data mining solution.
Author/Authors: Bassan, Amarpreet Singh | Sarkar, Debarchan
Pages: 386 | Published Date: 41999
Category: Data
Master Apple's new Swift programming language by following the best practices to write efficient and powerful code :
If you are a developer that learns best by looking at, and working with, code, then this book is for you. A basic understanding of Apple's tools is beneficial but not mandatory.
Author/Authors: Hoffman, Jon
Pages: 358 | Published Date: 42184
Category: Mobile
Dive into the latest release of the Swift programming language with this advanced Apple development book for creating exceptional iOS and osX applications :
This book is for developers that want to dive into the newest version of Swift. If you want in-depth knowledge on some of the most sophisticated elements of Swift development, including protocol extensions, error handling, design patterns, and concurrency, Mastering Swift 2 gives you guidance on how to apply them in your own projects.
Author/Authors: Hoffman, Jon
Pages: 408 | Published Date: 42312
Category: Mobile
Dive into the latest release of the Swift programming language with this advanced Apple development book :
This book is for developers who want to dive into the newest version of Swift. If you are a developer that learns best by looking at, and working with code, then this book is for you. A basic understanding of Apple's tools is beneficial but not mandatory.
Author/Authors: Hoffman, Jon
Pages: 392 | Published Date: 42668
Category: Mobile
Learn to build fast and robust applications on the Linux platform with Swift :
This book is for Linux developers who are interested in quickly learning how to use Swift to create exciting applications on Linux platforms.
Author/Authors: Hoffman, Jon
Pages: 380 | Published Date: 42737
Category: Mobile
Dive into the latest release of the Swift programming language with this advanced development book for building highly performant applications. :
This book is for developers who want to delve into the newest version of Swift. If you are a developer who learns best by looking at and working with code, then this book is for you. A basic understanding of Apple's tools is beneficial but not mandatory.
Author/Authors: Hoffman, Jon
Pages: 392 | Published Date: 43005
Category: Mobile
Master the intricacies of Tableau to create effective data visualizations :
If you are a business analyst without developer-level programming skills, then this book is for you. You are expected to have at least a fundamental understanding of Tableau and basic knowledge of joins, however SQL knowledge is not assumed. You should have basic computer skills, including at least moderate Excel proficiency.
Author/Authors: Baldwin, David
Pages: 476 | Published Date: 42710
Category: Data
Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras :
TensorFlow is the most popular numerical computation library built from the ground up for distributed, cloud, and mobile environments. TensorFlow represents the data as tensors and the computation as graphs. This book is a comprehensive guide that lets you explore the advanced features of TensorFlow 1.x. Gain insight into TensorFlow Core, Keras, TF Estimators, TFLearn, TF Slim, Pretty Tensor, and Sonnet. Leverage the power of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Throughout the book, you will obtain hands-on experience with varied datasets, such as MNIST, CIFAR-10, PTB, text8, and COCO-Images. You will learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF Clusters, deploy production models with TensorFlow Serving, and build and deploy TensorFlow models for mobile and embedded devices on Android and iOS platforms. You will see how to call TensorFlow and Keras API within the R statistical software, and learn the required techniques for debugging when the TensorFlow API-based code does not work as expected. The book helps you obtain in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems. By the end of this guide, you will have mastered the offerings of TensorFlow and Keras, and gained the skills you need to build smarter, faster, and efficient machine learning and deep learning systems.
Author/Authors: Fandango, Armando
Pages: 474 | Published Date: 43122
Category: Data
Master text-taming techniques and build effective text-processing applications with R :
If you are an R programmer, analyst, or data scientist who wants to gain experience in performing text data mining and analytics with R, then this book is for you. Exposure to working with statistical methods and language processing would be helpful.
Author/Authors: Kumar, Ashish | Paul, Avinash
Pages: 258 | Published Date: 42732
Category: Data
This book breaks down the C++ STL, teaching you how to extract its gems and apply them to your programming. :
This book is for developers who would like to master the C++ STL and make full use of its components. Prior C++ knowledge is assumed.
Author/Authors: O'Dwyer, Arthur
Pages: 384 | Published Date: 43006
Category: Programming