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by by {"isAjaxInProgress_B001H6SLXY":"0","isAjaxComplete_B001H6SLXY":"0"} Kai Hwang (Author) › Visit Amazon's Kai Hwang Page Find all the books, read about the author, and more. See search results for this author Are you an author? Learn about Author Central Kai Hwang (Author).
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Ebook PDF Cloud Computing for Machine Learning and Cognitive Applications (The MIT Press) | EBOOK ONLINE DOWNLOAD
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Description
The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.
Let's be real: 2020 has been a nightmare. Between the political unrest and novel coronavirus (COVID-19) pandemic, it's difficult to look back on the year and find something, anything, that was a potential bright spot in an otherwise turbulent trip around the sun. Luckily, there were a few bright spots: namely, some of the excellent works of military history and analysis, fiction and non-fiction, novels and graphic novels that we've absorbed over the last year.
Here's a brief list of some of the best books we read here at Task & Purpose in the last year. Have a recommendation of your own? Send an email to ja...@taskandpurpose.Com and we'll include it in a future story.
Missionaries by Phil Klay
I loved Phil Klay’s first book, Redeployment (which won the National Book Award), so Missionaries was high on my list of must-reads when it came out in October. It took Klay six years to research and write the book, which follows four characters in Colombia who come together in the shadow of our post-9/11 wars. As Klay’s prophetic novel shows, the machinery of technology, drones, and targeted killings that was built on the Middle East battlefield will continue to grow in far-flung lands that rarely garner headlines. [Buy]
- Paul Szoldra, editor-in-chief
Battle Born: Lapis Lazuli by Max Uriarte
Written by 'Terminal Lance' creator Maximilian Uriarte, this full-length graphic novel follows a Marine infantry squad on a bloody odyssey through the mountain reaches of northern Afghanistan. The full-color comic is basically 'Conan the Barbarian' in MARPAT. [Buy]