The Hollywood Standard: The Complete and Authoritative Guide to Script Format and Style
Christopher Riley - 2005
Finally a script format guide that is accurate, complete, authoritative and easy to use, written by Hollywood's foremost authority on industry standard script formats.
Designing Data-Intensive Applications
Martin Kleppmann - 2015
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
Directing Actors
Judith Weston - 1996
Internationally-renowned directing coach Weston demonstrates what constitutes a good performance, what actors want from a director, what directors do wrong, script analysis and preparation, how actors work, and shares insights into the director/actor relationship.
Programming Collective Intelligence: Building Smart Web 2.0 Applications
Toby Segaran - 2002
With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect
On Writing Well: The Classic Guide to Writing Nonfiction
William Zinsser - 1976
It is a book for everybody who wants to learn how to write or who needs to do some writing to get through the day, as almost everybody does in the age of e-mail and the Internet. Whether you want to write about people or places, science and technology, business, sports, the arts or about yourself in the increasingly popular memoir genre, On Writing Well offers you fundamental priciples as well as the insights of a distinguished writer and teacher. With more than a million copies sold, this volume has stood the test of time and remains a valuable resource for writers and would-be writers.
Cinematic Storytelling
Jennifer Van Sijll - 2005
What the industry's most succcessful writers and directors have in common is that they have mastered the cinematic conventions specific to the medium.
Making Movies
Sidney Lumet - 1995
Drawing on 40 years of experience on movies ranging from Long Day's Journey Into Night to The Verdict, Lumet explains the painstaking labor that results in two hours of screen magic.
Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation
Tim Brown - 2009
The reality is that most innovations come from a process of rigorous examination through which great ideas are identified and developed before being realized as new offerings and capabilities.This book introduces the idea of design thinking‚ the collaborative process by which the designer′s sensibilities and methods are employed to match people′s needs not only with what is technically feasible and a viable business strategy. In short‚ design thinking converts need into demand. It′s a human−centered approach to problem solving that helps people and organizations become more innovative and more creative.Design thinking is not just applicable to so−called creative industries or people who work in the design field. It′s a methodology that has been used by organizations such as Kaiser Permanente to icnrease the quality of patient care by re−examining the ways that their nurses manage shift change‚ or Kraft to rethink supply chain management. This is not a book by designers for designers; this is a book for creative leaders seeking to infuse design thinking into every level of an organization‚ product‚ or service to drive new alternatives for business and society.
Lynch on Lynch
David Lynch - 1997
Over the course of his career, he has remained true to a vision of the innocent lost in darkness and confusion, balancing hallucination and surrealism with a sense of Americana that is as pure and simple as his compelling storylines. In this volume, Lynch speaks openly about his films as well as about his lifelong commitment to painting, his work in photography, his television projects, and his musical collaborations with Angelo Badalamenti.
Learning Processing: A Beginner's Guide to Programming Images, Animation, and Interaction
Daniel Shiffman - 2008
Based on the ubiquitous Java, it provides an alternative to daunting languages and expensive proprietary software.This book gives graphic designers, artists and illustrators of all stripes a jump start to working with processing by providing detailed information on the basic principles of programming with the language, followed by careful, step-by-step explanations of select advanced techniques.The author teaches computer graphics at NYU's Tisch School of the Arts, and his book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media.Previously announced as Pixels, Patterns, and Processing
Storytelling with Data: A Data Visualization Guide for Business Professionals
Cole Nussbaumer Knaflic - 2015
You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples--ready for immediate application to your next graph or presentation.Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data--Storytelling with Data will give you the skills and power to tell it!
Read This If You Want to Take Great Photographs
Henry Carroll - 2014
• A bestselling photography book with over 300,000 copies sold! • Learn top photography tips from 50 famous photographers • A must–have guide for amateur photographers and professional photographersRead This if You Want to Take Great Photographs contains no graphs, no techie diagrams and no camera–club jargon. Instead, it inspires readers through iconic images and playful copy, packed with hands–on tips.Split into five sections, the book covers composition, exposure, light, lenses and the art of seeing. Masterpieces by acclaimed photographers – including Henri Cartier–Bresson, Sebastião Salgado, Fay Godwin, Nadav Kander, Daido Moriyama and Martin Parr – serve to illustrate points and encourage readers to try out new ideas.Today's aspiring photographers want immediacy and see photography as an affordable way of expressing themselves quickly and creatively. This handbook meets their needs, teaching them how to take photographs using professional techniques.Read This If You Want to Take Great Photographs is part of the internationally–bestselling 'Read This' series, which has sold over half–a–million books worldwide and has been translated into over 20 languages.More titles in the 'Read This' series:Read This if You Want to Take Great Photographs of People by Henry Carroll (9781780676241)Read This if You Want to Take Great Photographs of Places by Henry Carroll (9781780679051)Use This if You Want to Take Great Photographs: A Photo Journal by Henry Carroll (9781780678887)Read This if You Want to Be Great at Drawing by Selwyn Leamy (9781786270542)Use This if You Want to Be Great at Drawing by Selwyn Leamy (9781786274052)Read This if You Want to Be Great at Drawing People by Selwyn Leamy (9781786275127)Read This if You Want to Be a Great Writer by Ross Raisin (9781786271976)Read This if You Want to Be Instagram Famous edited by Henry Carroll (9781780679679)Read This If You Want to Be YouTube Famous by Will Eagle (9781786275134)
The Decision Book: Fifty Models for Strategic Thinking
Mikael Krogerus - 2011
Deep Learning
Ian Goodfellow - 2016
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.
Sound Design: The Expressive Power of Music, Voice and Sound Effects in Cinema
David Sonnenschein - 2001
Offers user-friendly knowledge and stimulating exercises to help compose story, develop characters and create emotion through skillful creation of the sound track.