Download Big Data Analytics by Frank J. Ohlhorst (.MOBI)

Big Data Analytics: Turning Big Data into Big Money By Frank J. Ohlhorst
Requirements: MOBI Reader, 6.2 MB
Overview: Unique insights to implement big data analytics and reap big returns to your bottom line
Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities.
Reveals big data analytics as the next wave for businesses looking for competitive advantage
Takes an in-depth look at the financial value of big data analytics
Offers tools and best practices for working with big data
Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business’s growth strategy.
Genre: Computers & Technology > Databases & Big Data

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Download Mobile Big Data by Georgios Skourletopoulos et al (.ePUB)

Mobile Big Data: A Roadmap from Models to Technologies by Georgios Skourletopoulos, George Mastorakis, Constandinos X. Mavromoustakis, Ciprian Dobre, Evangelos Pallis
Requirements: ePUB Reader, 4.1 MB
Overview: This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective.
Genre: Technology & Device

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Download Well Played 2.0: Video Games by Drew Davidson (.PDF)

Well Played 2.0: Video Games by Drew Davidson (Ed.)
Requirements: PDF Reader, 1.4 MB
Overview: Following on Well Played 1.0, this book is full of in-depth close readings of video games that parse out the various meanings to be found in the experience of playing a game. Contributors analyze sequences in a game in detail in order to illustrate and interpret how the various components of a game can come together to create a fulfilling playing experience unique to this medium. Contributors are again looking at video games in order to provide a variety of perspectives on the value of games.
Genre: Computers & Technology > Games & Strategy Guides

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Download Well Played 3.0: Video Games by Drew Davidson (.PDF)

Well Played 3.0: Video Games, Value And Meaning by Drew Davidson
Requirements: PDF Reader, 25.0 MB
Overview: Following on Well Played 1.0 and 2.0, this book will also be full of in-depth close readings of video games that parse out the various meanings to be found in the experience of playing a game. Contributors will analyze sequences in a game in detail in order to illustrate and interpret how the various components of a game can come together to create fulfilling a playing experience unique to this medium. Contributors will again be looking at video games, some that were covered in Well Played 1.0 and 2.0 as well as new ones, in order to provide a variety of perspectives on more great games.
Genre: Computers & Technology > Games & Strategy Guides

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Download Python Deep Learning Cookbook by Indra den Bakker (.ePUB)

Python Deep Learning Cookbook: Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python by Indra den Bakker
Requirements: .ePUB Reader, 2 MB
Overview: Deep Learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate predictions. This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics.
The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios.
Genre: Computers & Technology › Computer Science

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