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Advanced Apex Programming for Salesforce.com and Force.com
Dan Appleman - 2012
Intended for developers who are already familiar with the Apex language, and experienced Java and C# developers who are moving to Apex, this book starts where the Force.com documentation leaves off. Instead of trying to cover all of the features of the platform, Advanced Apex programming focuses entirely on the Apex language and core design patterns. You’ll learn how to truly think in Apex – to embrace limits and bulk patterns. You’ll see how to develop architectures for efficient and reliable trigger handling, and for asynchronous operations. You’ll discover that best practices differ radically depending on whether you are building software for a specific organization or for a managed package. And you’ll find approaches for incorporating testing and diagnostic code that can dramatically improve the reliability and deployment of Apex software, and reduce your lifecycle and support costs. Based on his experience both as a consultant and as architect of a major AppExchange package, Dan Appleman focuses on the real-world problems and issues that are faced by Apex developers every day, along with the obscure problems and surprises that can sneak up on you if you are unprepared.
Grokking Deep Learning
Andrew W. Trask - 2017
Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, defeating the world champion Go player, achieving superhuman performance on video games, driving cars, translating languages, and sometimes even helping law enforcement fight crime. Deep Learning is a revolution that is changing every industry across the globe.Grokking Deep Learning is the perfect place to begin your deep learning journey. Rather than just learn the “black box” API of some library or framework, you will actually understand how to build these algorithms completely from scratch. You will understand how Deep Learning is able to learn at levels greater than humans. You will be able to understand the “brain” behind state-of-the-art Artificial Intelligence. Furthermore, unlike other courses that assume advanced knowledge of Calculus and leverage complex mathematical notation, if you’re a Python hacker who passed high-school algebra, you’re ready to go. And at the end, you’ll even build an A.I. that will learn to defeat you in a classic Atari game.
Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS
John K. Kruschke - 2010
Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884 0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke
Advances in Financial Machine Learning
Marcos López de Prado - 2018
Today, ML algorithms accomplish tasks that - until recently - only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.In the book, readers will learn how to:Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
Minecraft For Dummies
Jacob Cordeiro - 2013
With this fun and friendly beginners guide, you will quickly grasp how to play Minecraft in the three modes of game play: survival, creative, and hardcore. The easy-to-understand writing style walks you through every step of the way, from downloading the game to choosing a gaming platform to defending your creations against monsters and winning the game by defeating the Ender Dragon.
Explains how to use blocks to build amazing creations and engage in gameplay with other players
Details techniques for travelling across the biomes
Zeroes in on playing wisely in Survival mode so you can acquire resources to maintain your health and hunger
Shares tips for playing carefully in Creative mode, using your unlimited supply of resources, the ability to fly, and more
Helps you play in Hardcore mode
Minecraft For Dummies, Portable Edition goes where you go as you create a world you won't want to leave!
Data Mining: Practical Machine Learning Tools and Techniques
Ian H. Witten - 1999
This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915 0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
Network Security: Private Communication in a Public World
Charlie Kaufman - 1995
In the second edition of Network Security, this most distinguished of author teams draws on hard-won experience to explain every facet of information security, from the basics to advanced cryptography and authentication; secure Web and email services; and emerging security standards. Highlights of the book's extensive new coverage include Advanced Encryption Standard (AES), IPsec, SSL, PKI Standards, and Web security.
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Jiawei Han - 2000
Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business dataUpdates that incorporate input from readers, changes in the field, and more material on statistics and machine learningDozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projectsComplete classroom support for instructors at www.mkp.com/datamining2e companion site
Study Hall: College Football, Its Stats and Its Stories
Bill Connelly - 2013
The first of its kind, this book explores college football's current events, numbers, and tactics from a number of perspectives. It is an attempt to bridge the gap between the analytical side of the game and its real-life application. So many of us love this ridiculous sport; Study Hall gives us ways to love it even more. Table of Contents 1. It's Personal 2. An Ungovernable Mess 3. The Case for Computers 4. You, Me, and Stats 5. We Meet Again, Mr. Wizard 6. Coaches vs. Stats 7. The New Box Score 8. Advanced Stats 101 9. College Football's Curveball 10. QBs and the Passes They Throw 11. Sometimes Cliches Are Cliches for a Reason 12. The 'Spread Offense' Meme Dies 13. Beating, And Becoming, Goliath
Visual Thinking for Design
Colin Ware - 2008
Fortunately, results from the relatively new science of human visual perception provide valuable guidance. In Visual Thinking for Design, Colin Ware takes what we now know about perception, cognition, and attention and transforms it into concrete advice that designers can directly apply. He demonstrates how designs can be considered as tools for cognition - extensions of the viewer’s brain in much the same way that a hammer is an extension of the user’s hand. Experienced professional designers and students alike will learn how to maximize the power of the information tools they design for the people who use them.• Presents visual thinking as a complex process that can be supported in every stage using specific design techniques.• Provides practical, task-oriented information for designers and software developers charged with design responsibilities.• Includes hundreds of examples, many in the form of integrated text and full-color diagrams.• Steeped in the principles of “active vision,” which views graphic designs as cognitive tools.
The Official Guide for GMAT Verbal Review
Graduate Management Admission Council (GMAC) - 2005
This work focuses on the verbal skills necessary to pass the GMAT, with nearly 300 questions and explanations on subjects such as reading comprehension, critical reasoning, sentence correction and analytical writing assesment.
Power Pivot and Power BI: The Excel User's Guide to DAX, Power Query, Power BI & Power Pivot in Excel 2010-2016
Rob Collie - 2016
Written by the world’s foremost PowerPivot blogger and practitioner, the book’s concepts and approach are introduced in a simple, step-by-step manner tailored to the learning style of Excel users everywhere. The techniques presented allow users to produce, in hours or even minutes, results that formerly would have taken entire teams weeks or months to produce. It includes lessons on the difference between calculated columns and measures; how formulas can be reused across reports of completely different shapes; how to merge disjointed sets of data into unified reports; how to make certain columns in a pivot behave as if the pivot were filtered while other columns do not; and how to create time-intelligent calculations in pivot tables such as “Year over Year” and “Moving Averages” whether they use a standard, fiscal, or a complete custom calendar. The “pattern-like” techniques and best practices contained in this book have been developed and refined over two years of onsite training with Excel users around the world, and the key lessons from those seminars costing thousands of dollars per day are now available to within the pages of this easy-to-follow guide. This updated second edition covers new features introduced with Office 2015.
SEO Made Simple: Strategies for Dominating the World's Largest Search Engine
Michael H. Fleischner - 2008
Visit the SEO Made Simple (fourth edition) page for more information. http: //www.amazon.com/SEO-Made-Simple-4th-Ed... More Than 30,000 Copies Sold! The original SEO Made Simple: Strategies for Dominating the World's Leading Search Engine, is a tell-all guide for anyone trying to reach the highly coveted #1 ranking on Google for their Web site or Blog. Learn from a leading Webmaster the specific SEO techniques that deliver top rankings in less than 30 days. Whether you're a search engine optimization expert or new to Web site rankings, the techniques revealed in SEO Made Simple will give you everything you need to dominate the leading search engines. Generate tons of traffic to your website absolutely FREE with top search engine placement on Google, Yahoo! and MSN. SEO Made Simple is the only resource on search engine optimization that you'll ever need.
Statistical Rethinking: A Bayesian Course with Examples in R and Stan
Richard McElreath - 2015
Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Business Law
Lee Mei Pheng - 2009
The authors' comprehensive experience in legal practice, banking and teaching have enabled them to provide a condensed and easy to understand coverage of business law principles and areas of interest related thereto.