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Data Science In Layman S Terms

Author : Nicholas Lincoln
ISBN : 0692150757
Genre :
File Size : 88. 55 MB
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Data Science in Layman's Terms: Statistics strikes a balance between an easy-reading tutorial, and a theory intensive textbook. It offers a complete roadmap for understanding statistics. The concepts in this book are explained in plain English, and every chapter contains R and Python code that shows how to implement the concepts.

Numsense Data Science For The Layman

Author : Annalyn Ng
ISBN : 9811110689
Genre :
File Size : 89. 29 MB
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Used in Stanford's CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

Data Science For Dummies

Author : Lillian Pierson
ISBN : 9781119327646
Genre : Computers
File Size : 21. 70 MB
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Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here’s what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Data Science

Author : Xiaohui Cheng
ISBN : 9789811501180
Genre : Computers
File Size : 76. 9 MB
Format : PDF
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This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.

Perspectives On Data Science For Software Engineering

Author : Tim Menzies
ISBN : 9780128042618
Genre : Computers
File Size : 66. 3 MB
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Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains

Strike Zone Dale Brown S Dreamland Book 5

Author : Dale Brown
ISBN : 9780007542734
Genre : Fiction
File Size : 87. 55 MB
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The Dreamland special ops team uncover a plan to stir up unrest between Taiwan and mainland China – in the latest high-octane adventure from the acclaimed author of Flight of the Old Dog and Air Battle Force.

Data Science For Executives

Author : Nir Kaldero
ISBN : 1544512694
Genre :
File Size : 54. 82 MB
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We are in the 4th industrial revolution; companies need to figure out how to survive. In this exciting revolution, machine intelligence has had a more unprecedented impact on business than the internet, and it's the only path to corporate survival in the future. In Data Science for Executives, Nir Kaldero dispels the myths and confusion surrounding this game-changing technology and provides practical strategies for harnessing its profitable power. This essential tome provides illuminating case studies, important guiding principles, and effective on-the-ground actions for incorporating machine intelligence into your organization and employing it to enhance your business though the wealth of data that flows into your business. Leaders don't have to be scientists to unlock the power of AI technology that is already radically altering the industrial landscape. If you're ready to meet the challenges of this new revolution, this essential guide will help you take your business to the next level.

The Greenhouse Effect

Author :
ISBN : UOM:39015023887113
Genre : Climatic changes
File Size : 52. 72 MB
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Canadian Special Publication Of Fisheries And Aquatic Sciences

Author :
ISBN : MINN:31951P00119081V
Genre : Aquatic biology
File Size : 25. 30 MB
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The Game Of Science

Author : Garvin McCain
ISBN : UOM:39015002500224
Genre : Research
File Size : 32. 34 MB
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Canadian Journal Of Applied Sport Sciences

Author :
ISBN : MINN:319510026787324
Genre : Science
File Size : 37. 2 MB
Format : PDF
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Big Data Analytics

Author : Venkat Ankam
ISBN : 9781785889707
Genre : Computers
File Size : 66. 44 MB
Format : PDF, ePub
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A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall. Who This Book Is For Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not mandatory. What You Will Learn Find out and implement the tools and techniques of big data analytics using Spark on Hadoop clusters with wide variety of tools used with Spark and Hadoop Understand all the Hadoop and Spark ecosystem components Get to know all the Spark components: Spark Core, Spark SQL, DataFrames, DataSets, Conventional and Structured Streaming, MLLib, ML Pipelines and Graphx See batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming Get to grips with data science and machine learning using MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall. In Detail Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data. Style and approach This step-by-step pragmatic guide will make life easy no matter what your level of experience. You will deep dive into Apache Spark on Hadoop clusters through ample exciting real-life examples. Practical tutorial explains data science in simple terms to help programmers and data analysts get started with Data Science

Technical Report

Author :
ISBN : UCSD:31822009736786
Genre : Fish culture
File Size : 60. 21 MB
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Proceedings Of The Third International Conference On Knowledge Discovery And Data Mining

Author : David E. Heckerman
ISBN : STANFORD:36105021538751
Genre : Bases de données
File Size : 81. 69 MB
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Deep Learning For The Layman

Author : François Duval
ISBN : 1984050621
Genre : Artificial intelligence
File Size : 60. 76 MB
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***** Buy now (Will soon return to $35.99 + Special Offer Below) ***** Free Kindle eBook for customers who purchase the print book from Amazon Are you thinking of learning more about Deep Learning without Maths? This book has been written in layman's terms as an introduction to deep learning and neural networks and their algorithms. Each algorithm is explained very easily for more understanding. Several Visual Illustrations and Examples Instead of tough math formulas, this book contains several graphs and images which detail all algorithms and their applications in all area of the real life. Why this book is different ? This book will help you explore exactly what deep learning is and will also teach you about why it is so revolutionary and fascinating. The chapters will introduce the reader to the concepts, techniques, and applications of deep learning algorithms with the practical case studies and walk-through examples on which to practice. This book takes a different approach that is based on providing simple examples of how deep learning algorithms work, and building on those examples step by step to encompass the more complicated parts of the algorithms. Target Users The book designed for a variety of target audiences. The most suitable users would include: Beginners who want to approach deep learning, but are too afraid of complex math to start Newbies in computer science techniques and deep learning Professionals in data science and social sciences Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way Students and academicians, especially those focusing on neural networks and deep learning What's inside this book? Deep Learning: What & Why? Pre-requisite for Deep Learning Artificial Neural Networks: what and why? General Presentation of Deep Learning Multilayer Perceptron and Backpropagation: How they are work? Convolutional Neural Networks (CNN): How it is works? Other Deep Learning Algorithms Deep Learning Applications Our Future with Deep Learning Applied The Long-Term Vision of Deep Learning Frequently Asked Questions Q: Is this book for me and do I need programming experience? A: If you want to learn more about deep learning, this book is for you.No math or coding knowledges is required. Q: Can I loan this book to friends? A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days. Q: Does this book include everything I need to become a deep learning expert? A: Unfortunately, no. This book is designed for readers taking their first steps in deep learning and further learning will be required beyond this book to master all aspects of deep learning. Q: Can I have a refund if this book is not fitted for me? A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. will also be happy to help you if you send us an email at [email protected]


Author : Joe S. McIlhaney, Jr.
ISBN : 9780802497307
Genre : Family & Relationships
File Size : 58. 42 MB
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How sex is rewiring your brain—for good and for bad What does a three-pound brain have to do with one’s sex life? A lot, actually. Hooked is about what’s happening to your brain when you’re having sex. With scientific data put in layman’s terms, this book demonstrates that: Sexual activity releases chemicals in the brain, creating emotional bonds between partners. This is great news for marriages! Once formed, however, breaking these bonds can have damaging effects on the brain such as depression and difficulty bonding with someone else in the future. The continual forming and breaking of these bonds can have permanent effects on a person’s brain. PLUS! This updated edition also includes a brand new chapter about the effects of pornography on the brain. All this data about bonding, sex, and pornography has important implications in a casual sex culture. Regardless of what we wish were true, the facts tell us “safe sex” isn't as safe as it seems. Learn about your brain, the positive effects of sex within permanently committed relationships, and how you can protect yourself (especially your brain) from the dangers of casual sex.

Chemical Engineering Progress

Author :
ISBN : UCSD:31822004113403
Genre : Chemistry, Technical
File Size : 24. 46 MB
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New Scientist

Author :
ISBN : UOM:39015049348678
Genre : Science
File Size : 20. 3 MB
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Quick Frozen Foods

Author :
ISBN : UOM:39015020207794
Genre : Frozen foods
File Size : 59. 88 MB
Format : PDF
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Science News Letter

Author :
ISBN : UVA:X001768631
Genre : Science
File Size : 78. 8 MB
Format : PDF, Mobi
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