The PCs, the i- phones, the i-pods, the tablet PCs all will be a constant reminder of the genuine and witty ways that Steve handled and fondled. He was always lost in a world of his own. He hugged the glory and the downfalls with equal aloofness. Not once were his beliefs shattered. Throughout his life, he struggled and dared to bring his dreams come true. His dreams had a silvery lining of consistency, persuasion and intention. He was unique in every way. The life threatening disease of cancer could not prevent him from working till his last breath, literally. Though stubborn and dominant by nature he stood as a magician in the field of technology. Here is a simple gesture to pay him respect and honour. A magnificent journey presented authentically.

    Itzik Ben-Gan explains key T-SQL concepts and helps you apply your knowledge with hands-on exercises. The book first introduces T-SQL's roots and underlying logic. Next, it walks you through core topics such as single-table queries, joins, subqueries, table expressions, and set operators. Then the book covers more-advanced data-query topics such as window functions, pivoting, and grouping sets. The book also explains how to modify data, work with temporal tables, and handle transactions, and provides an overview of programmable objects. Microsoft Data Platform MVP Itzik Ben-Gan shows you how to: Review core SQL concepts and its mathematical roots Create tables and enforce data integrity Perform effective single-table queries by using the SELECT statement Query multiple tables by using joins, subqueries, table expressions, and set operators Use advanced query techniques such as window functions, pivoting, and grouping sets Insert, update, delete, and merge data Use transactions in a concurrent environment Get started with programmable objects-from variables and batches to user-defined functions, stored procedures, triggers, and dynamic SQL

    Pure Substances, The First And Second Laws, Gases, Psychrometrics, The Vapor, Gas And Refrigeration Cycles, Heat Transfer, Compressible Flow, Chemical Reactions, Fuels, And More Are Presented In Detail And Enhanced With Practical Applications. This Version Presents The Material Using SI Units And Has Ample Material On SI Conversion, Steam Tables, And A Mollier Diagram. A CD-ROM, Included With The Print Version Of The Text, Includes A Fully Functional Version Of Quickfield (Widely Used In Industry), As Well As Numerous Demonstrations And Simulations With MATLAB, And Other Third Party Software.

    If you're a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases.Author Thomas Nield provides exercises throughout the book to help you practice your newfound SQL skills at home, without having to use a database server environment. Not only will you learn how to use key SQL statements to find and manipulate your data, but you'll also discover how to efficiently design and manage databases to meet your needs.You'll also learn how to:Explore relational databases, including lightweight and centralized modelsUse SQLite and SQLiteStudio to create lightweight databases in minutesQuery and transform data in meaningful ways by using SELECT, WHERE, GROUP BY, and ORDER BYJoin tables to get a more complete view of your business dataBuild your own tables and centralized databases by using normalized design principlesManage data by learning how to INSERT, DELETE, and UPDATE records

    

    Its broad appeal lies in its interactive environment with hundreds of built-in functions for technical computation, graphics, and animation. In addition, it provides easy extensibility with its own high-level programming language. Enhanced by fun and appealing illustrations, Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers employs a casual, accessible writing style that shows users how to enjoy using MATLAB.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

    For some, blogging is a pastime, a hobby, something to fulfil a creative need. But some take blogging one step further. Many individuals, with no special training, are using their blog/s as a part-time or even a full-time job. You may already have a blog that could do with a few more visitors. Or maybe you’re thinking of setting up a blog but are not sure where to start. The question most people ask me is ‘How do I get visitors to my blog?’ It’s like setting up a shop on the High Street and facing the challenge of getting people in the door. The good news is – I have answers that will see your visitor count lift substantially. All you need is a computer, an internet connection and a brain (your own preferably). Here’s what you don’t need: money. This book answers your blogging questions in a practical and straightforward way. How My Blog Got 1 Million Visits In 7 Months has been designed to show you how to drive people to your blog – and how to keep them coming back, time after time. It’s designed for bloggers and for those who have websites that could do with more traffic. I’m a multi-award winning blogger and publisher and have been for over eight years. When I first started blogging, I got very excited to see that one person kept visiting my site. That was until I realised that the analytics was, in fact, counting me as a visitor. I’ve learned a lot since. My latest blog broke through the 1,000,000 visit mark after just 7 months. As a result, my blog is now a profitable business. I haven’t spent a penny on advertising and I spend about 30 minutes a day blogging at most. I’ve picked up a large-scale book deal as a direct result of my blog. In this book, I’ll show you the basics of setting up your blog; how to write content that people will just want to click on and share with their friends; how to create viral posts that will see your visitor statistics balloon; how to write content for your website that will sell your services or products; how to optimise your posts for search engines and how to make money from your blog. My promise to you is this - if you use the tips and tricks that I am about to show you, your site will get more traffic and you can start making money from it. These are proven techniques that you can start implementing on your blog straight away. Run the kind of blog that other bloggers envy. Be the kind of blogger that people marvel at. It’ll make you feel pretty good, I guarantee it. Find out how right now. *** “Patric Morgan's How My Blog Got 1 Million Visitors in 7 Months makes me sick! I've got 15,000+ people on my combined social media and I've never gotten even close to a million visits on my site. Screw you, Patric! However – I have read through his book and have found some cool tricks to steal and apply. Shh...don't tell him.” Vicki Abelson, Author of ‘Don't Jump’, published October '15 from Carl Reiner's Random Content. “What an absolutely incredible 'How to Guide'. This book will give you the tools you need to increase your web traffic and create a viral sensation from your blog or website. Follow the common sense approach within these pages and maybe you'll be writing your own success story very soon. A must read for any avid blogger trying to step up into the big leagues. Buy it now!” Nigel Shinner, Author of the critically acclaimed novel ‘From Within’ “It’s good to read something that actually delivers on the title of the book.

    It aims to give readers a fundamental overview of the technologies that make up the telecommunications infrastructure.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Learn about the components of a BI architecture, how to choose the appropriate tools and technologies, and how to roll out a BI strategy throughout the organisation.

    Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

    It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpayd�n offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpayd�n, author of a popular textbook on machine learning, explains that as Big Data has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.