Sparks and Scales

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Publisher :
ISBN 13 : 9781951009236
Total Pages : 262 pages
Book Rating : 4.31/5 ( download)

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Book Synopsis Sparks and Scales by : Km Merritt

Download or read book Sparks and Scales written by Km Merritt and published by . This book was released on 2021-08-06 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: It just had to be dragons this time... Vola, Talon, and the others may have gotten rid of Inga, but there's an even bigger bad guy out there stealing magic out of the land and its people. Luckily the Dagger Princess has a lead, and now the team's headed to Firewatch, home of the great slumbering dragons. Just like the one that killed Talon's pack so long ago. Talon might not be interested in revenge but she's determined to keep her new family from meeting the same fate as her old one. However, that's going to be harder than usual. Someone is draining the magic out of the land itself, leaving dead spots in the desert. Maybe a big bad someone. Can Vola, Talon, and the others track down the magic thief before whoever it is wakes the dragons? Failure is not an option when cranky fire-breathers can cause the end of the world...

Mastering Spark with R

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492046329
Total Pages : 296 pages
Book Rating : 4.25/5 ( download)

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Book Synopsis Mastering Spark with R by : Javier Luraschi

Download or read book Mastering Spark with R written by Javier Luraschi and published by "O'Reilly Media, Inc.". This book was released on 2019-10-07 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

Atlantic Reporter

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Publisher :
ISBN 13 :
Total Pages : 1046 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Atlantic Reporter by :

Download or read book Atlantic Reporter written by and published by . This book was released on 1919 with total page 1046 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Analytics with Spark

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491912731
Total Pages : 276 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Advanced Analytics with Spark by : Sandy Ryza

Download or read book Advanced Analytics with Spark written by Sandy Ryza and published by "O'Reilly Media, Inc.". This book was released on 2015-04-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—classification, collaborative filtering, and anomaly detection among others—to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you’ll find these patterns useful for working on your own data applications. Patterns include: Recommending music and the Audioscrobbler data set Predicting forest cover with decision trees Anomaly detection in network traffic with K-means clustering Understanding Wikipedia with Latent Semantic Analysis Analyzing co-occurrence networks with GraphX Geospatial and temporal data analysis on the New York City Taxi Trips data Estimating financial risk through Monte Carlo simulation Analyzing genomics data and the BDG project Analyzing neuroimaging data with PySpark and Thunder

Pennsylvania State Reports

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Publisher :
ISBN 13 :
Total Pages : 730 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Pennsylvania State Reports by : Pennsylvania. Supreme Court

Download or read book Pennsylvania State Reports written by Pennsylvania. Supreme Court and published by . This book was released on 1919 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Containing cases decided by the Supreme Court of Pennsylvania." (varies)

Pennsylvania State Reports Containing Cases Decided by the Supreme Court of Pennsylvania

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Publisher :
ISBN 13 :
Total Pages : 728 pages
Book Rating : 4.54/5 ( download)

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Book Synopsis Pennsylvania State Reports Containing Cases Decided by the Supreme Court of Pennsylvania by : Pennsylvania. Supreme Court

Download or read book Pennsylvania State Reports Containing Cases Decided by the Supreme Court of Pennsylvania written by Pennsylvania. Supreme Court and published by . This book was released on 1919 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt:

One Little Spark!

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Publisher : Disney Electronic Content
ISBN 13 : 1484737792
Total Pages : 263 pages
Book Rating : 4.98/5 ( download)

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Book Synopsis One Little Spark! by : Marty Sklar

Download or read book One Little Spark! written by Marty Sklar and published by Disney Electronic Content. This book was released on 2015-09-01 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: We've all read about the experts: the artists, the scientists, the engineers—that special group of people known as Imagineers for The Walt Disney Company. But who are they? How did they join the team? What is it like to spend a day in their shoes? Disney Legend Marty Sklar wants to give back to fans and answer these burning questions. When Marty was president of Walt Disney Imagineering, he created a list of principles and ideals for the team, aptly named Mickey's Ten Commandments. Using this code of standards as his organizational flow, Marty provides readers with insights and advice from himself and dozens of hands-on Imagineers from around the globe. It's a true insider's look like no other!

Big Data Analytics with Spark

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Publisher : Apress
ISBN 13 : 1484209648
Total Pages : 290 pages
Book Rating : 4.46/5 ( download)

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Book Synopsis Big Data Analytics with Spark by : Mohammed Guller

Download or read book Big Data Analytics with Spark written by Mohammed Guller and published by Apress. This book was released on 2015-12-29 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert. Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources. The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it. What's more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language. There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost—possibly a big boost—to your career.

The Advisor Breakthrough

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Publisher :
ISBN 13 : 9780997964011
Total Pages : pages
Book Rating : 4.14/5 ( download)

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Book Synopsis The Advisor Breakthrough by : Shawn Sparks

Download or read book The Advisor Breakthrough written by Shawn Sparks and published by . This book was released on 2016-12-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In The Advisor Breakthrough, financial marketing expert Shawn Sparks shares the step-by-step principles for developing the ultimate financial advisory practice. Based on the lessons Shawn has learned from working with the country's top financial advisors over the past ten years, you will discover many of the most important top 1 percent advisor lessons. A few highlights include: Key methods of Marketing so you can attract the right people, and repel the wrong ones How to gain highly qualified and profitable referrals from your ideal clients A 6 point sales process that insures you will get the right prospects to become clients How to build an incredible team to help you scale your business to the highest level Learn about the Advisor curse and how to overcome it so you can get more done in less time The Advisor Breakthrough delivers a comprehensive plan for creating marketing, sales, and operations tactics that will help any financial advisor turn a business that owns them into a successful, sustainable one they love. Now is the time to run a business that truly supports the lifestyle you desire and allows you to reach your full potential.

Large-Scale Data Analytics with Python and Spark

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Publisher : Cambridge University Press
ISBN 13 : 1009318233
Total Pages : 396 pages
Book Rating : 4.35/5 ( download)

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Book Synopsis Large-Scale Data Analytics with Python and Spark by : Isaac Triguero

Download or read book Large-Scale Data Analytics with Python and Spark written by Isaac Triguero and published by Cambridge University Press. This book was released on 2023-11-23 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.