ISBN
9781789133660
Sequential learning and language modeling with TensorFlow :
<p><b>Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with Python's most popular TensorFlow framework. </b></p> <h4>Key Features</h4> <ul><li>Train and deploy Recurrent Neural Networks using the popular TensorFlow library </li> <li>Apply long short-term memory units </li> <li>Expand your skills incomplex neural network and deep learning topics</li></ul> <h4>Book Description</h4> <p>Developers struggle to find an easy-to-follow learning resource for implementing Recurrent Neural Network (RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve results. This book will teach you the fundamentals of RNNs, with example applications in Python and the TensorFlow library. The examples are accompanied by the right combination of theoretical knowledge and real-world implementations of concepts to build a solid foundation of neural network modeling. </p> <p>Your journey starts with the simplest RNN model, where you can grasp the fundamentals. The book then builds on this by proposing more advanced and complex algorithms. We use them to explain how a typical state-of-the-art RNN model works. From generating text to building a language translator, we show how some of today's most powerful AI applications work under the hood. </p> <p>After reading the book, you will be confident with the fundamentals of RNNs, and be ready to pursue further study, along with developing skills in this exciting field. </p> <h4>What you will learn</h4> <ul><li>Use TensorFlow to build RNN models </li> <li>Use the correct RNN architecture for a particular machine learning task </li> <li>Collect and clear the training data for your models </li> <li>Use the correct Python libraries for any task during the building phase of your model </li> <li>Optimize your model for higher accuracy </li> <li>Identify the differences between multiple models and how you can substitute them </li> <li>Learn the core deep learning fundamentals applicable to any machine learning model </li> </ul> <h4>Who this book is for</h4> <p>This book is for Machine Learning engineers and data scientists who want to learn about Recurrent Neural Network models with practical use-cases. Exposure to Python programming is required. Previous experience with TensorFlow will be helpful, but not mandatory.</p>
Author/Authors: Kostadinov, Simeon
Pages: 122 | Published Date: 43434
Category: Data
ISBN
9781788994217
Create and share interactive dashboards using Redash :
Data exploration and visualization is vital to Business Intelligence, the backbone of almost every enterprise or organization. Redash is a querying and visualization tool developed to simplify how marketing and business development departments are exposed to data. If you want to learn to create interactive dashboards with Redash, explore different visualizations, and share the insights with your peers, then this is the ideal book for you.
Author/Authors: Leibzon, Alexander | Leibzon, Yael
Pages: 224 | Published Date: 43372
Category: Data
ISBN
9781783988174
Over 80 hand-picked recipes for effective Redis development and administration :
Redis is considered the world's most popular key-value store database. Its versatility and the wide variety of use cases it enables have made it a popular choice of database for many enterprises. Based on the latest version of Redis, this book provides both step-by-step recipes and relevant the background information required to utilize its features to the fullest. It covers everything from a basic understanding of Redis data types to advanced aspects of Redis high availability, clustering, administration, and troubleshooting. This book will be your great companion to master all aspects of Redis. The book starts off by installing and configuring Redis for you to get started with ease. Moving on, all the data types and features of Redis are introduced in detail. Next, you will learn how to develop applications with Redis in Java, Python, and the Spring Boot web framework. You will also learn replication tasks, which will help you to troubleshoot replication issues. Furthermore, you will learn the steps that need to be undertaken to ensure high availability on your cluster and during production deployment. Toward the end of the book, you will learn the topmost tasks that will help you to troubleshoot your ecosystem efficiently, along with extending Redis by using different modules.
Author/Authors: Huang, Pengcheng | Wang, Zuofei
Pages: 382 | Published Date: 43159
Category: Data
ISBN
9781784396084
Harness the power of Redis to integrate and manage your projects efficiently :
This book is intended for those who want to learn about Redis with or without previous experience. By providing a foundation to understand the capabilities of Redis, this book will teach you how to extend and scale Redis in real-life situations.
Author/Authors: DaSilva, Maxwell Dayvson | Tavares, Hugo Lopes
Pages: 230 | Published Date: 42255
Category: Business & Other
ISBN
9781785285264
Over 80 hands-on recipes to improve your skills in project management, team management, process improvement, and Redmine administration :
Redmine Cookbook is a part of Packt Publishing's cookbook series, grouping various Redmine related how-tos in 10 chapters. The recipes have been crafted for people who are already using Redmine or learning to use it and extend its features for better project management, some other kind of tracking, collaboration, or process management. Also, single developers or teams can benefit from various recipes that are related to code repositories, bug tracking, software project management, and Agile methodologies, such as SCRUM or Kanban.
Author/Authors: Pavic, Aleksandar
Pages: 322 | Published Date: 42423
Category: Business & Other
ISBN
9781783288755
Utilize Flurry Analytics to optimize and monetize your applications more effectively :
This book provides a thorough look at the tools available within Redmine to facilitate the development of plugins and extensions. Full of tips and tricks, a recurring case study is also used to help guide you through the various content area extensions and plugin helpers and to provide context and realworld examples of the concepts being covered. This book is intended for those who want to build custom functionality into the Redmine project management platform. If you're already comfortable with Ruby, Rails, and Redmine, but you aren't quite sure what to do next, this book will walk you through the basics of getting a plugin written and integrated into various key areas of Redmine.
Author/Authors: Bevilacqua, Alex
Pages: 114 | Published Date: 41717
Category: Business & Other
ISBN
9781783980741
Learn the art of regression analysis with Python :
The book targets Python developers with a basic understanding of data science, statistics, and math, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science.
Author/Authors: Massaron, Luca | Boschetti, Alberto
Pages: 312 | Published Date: 42429
Category: Data
ISBN
9781788622707
Build effective regression models in R to extract valuable insights from real data :
This book is intended for budding data scientists and data analysts who want to implement regression analysis techniques using R. If you are interested in statistics, data science, machine learning and wants to get an easy introduction to the topic, then this book is what you need! Basic understanding of statistics and math will help you to get the most out of the book. Some programming experience with R will also be helpful
Author/Authors: Ciaburro, Giuseppe
Pages: 422 | Published Date: 43131
Category: Data
ISBN
9781788830713
Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow :
If you want to get started with reinforcement learning using TensorFlow in the most practical way, this book will be a useful resource. The book assumes prior knowledge of machine learning and neural network programming concepts, as well as some understanding of the TensorFlow framework. No previous experience with Reinforcement Learning is required.
Author/Authors: Dutta, Sayon
Pages: 334 | Published Date: 43214
Category: Data
ISBN
9781782176145
Create and customize reports in Team Foundation Server using Excel and SQL Server Reporting Services :
This book is intended for developers, testers, architects, and project managers who want to explore and make use of the reporting facilities of Team Foundation Server 2013. Although no previous experience of reporting is required, a basic understanding of the Team Foundation Components and project templates would be a plus.
Author/Authors: Chhatrapati, Dipti
Pages: 164 | Published Date: 42103
Category: Data
ISBN
9781782171737
Learn to quickly create reports in SSRS and Power View as well as understand the best use of each reporting tool :
This is a stepbystep tutorial that deals with Microsoft Server 2012 reporting tools:SSRS and Power View. If you are a BI developer, consultant, or architect who wishes to learn how to use SSRS and Power View, and want to understand the best use for each tool, then this book will get you up and running quickly. No prior experience is required with either tool!
Author/Authors: Serra, James | Anton, Bill
Pages: 142 | Published Date: 41716
Category: Data
ISBN
9781782178033
Create a reporting application from scratch using Visual Studio and Crystal Reports :
A fast-paced, example-based guide to learn how to create a reporting application using Visual Studio and Crystal Reports."Reporting with Visual Studio and Crystal Reports" is for developers new to Crystal Reports. It will also prove useful to intermediate users who wish to explore some new techniques in Crystal Reports using Microsoft Visual Studio. Readers are expected to have basic knowledge of C#, Microsoft Visual Studio, and Structured Query Language (SQL).
Author/Authors: Elkoush, Mahmoud
Pages: 148 | Published Date: 41572
Category: Data
