books.md

Books

Fantastic books and e-books.

• .NET Core in Action - teaches how to write applications and libraries with .NET Core. [$]
• CLR via C# - Dig deep and master the intricacies of the common language runtime, C#, and .NET development. [$]
• Functional Programming in C# - teaches how to best leverage the functional features of the C# language. [$]
• Microservices in .NET Core - shows you how to build maintainable, secure and operations-friendly microservices using Nancy and .NET Core. [$]
• Basics of Algebra, Topology, and Differential Calculus - Jean Gallier (University of Pennsylvania)
• Learning Spark, Lightning-Fast Big Data Analysis - Slightly outdated (Spark 1.3) introduction to Spark API. Good source of knowledge about basic concepts.
• Advanced Analytics with Spark - Useful collection of Spark processing patterns. Accompanying GitHub repository: sryza/aas.
• Mastering Apache Spark - Interesting compilation of notes by Jacek Laskowski. Focused on different aspects of Spark internals.
• Spark Gotchas - Subjective compilation of tips, tricks and common programming mistakes.
• Spark in Action - New book in the Manning's "in action" family with +400 pages. Starts gently, step-by-step and covers large number of topics. Free excerpt on how to setup Eclipse for Spark application development and how to bootstrap a new application using the provided Maven Archetype. You can find the accompanying GitHub repo here.
• Propose, Prepare, Present - Free Ebook by Alistair Croll (O'Reilly)
• Presentation Patterns - by Neal Ford, Matthew McCullough, and Nate Schutta (Addison-Wesley)
• Presentation Zen Design - by Garr Reynolds. How to design your presentation.
• TED Talks: The Official TED Guide to Public Speaking - by Chris Anderson (Houghton Mifflin Harcourt). Start to finish guide to giving powerful talks.
• Artificial Intelligence: A Modern Approach - Stuart Russell & Peter Norvig
• Paradigms Of Artificial Intelligence Programming: Case Studies in Common Lisp - Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems
• Reinforcement Learning: An Introduction - This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists.
• The Cambridge Handbook Of Artificial Intelligence - Written for non-specialists, it covers the discipline's foundations, major theories, and principal research areas, plus related topics such as artificial life
• The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind - In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work
• Artificial Intelligence: A New Synthesis - Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI
• On Intelligence - Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. Also audio version available from audible.com
• How To Create A Mind - Kurzweil discusses how the brain works, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems
• The Art of Community Online - Book, Building the New Age of Participation, PDF
• JavaScript plus a dash of JQuery - A Sensible Introduction to Coding with JavaScript and jQuery, by Nicholas Johnson.
• jQuery fundamentals - Comfortable working through common problems you'll be called upon to solve using jQuery.
• jQuery in Action, Third Edition - Fast-paced and complete guide to jQuery, by Bear Bibeault, Yehuda Katz, and Aurelio De Rosa.
• jQuery: Novice to Ninja: New Kicks And Tricks - fast track to mastering jQuery, by Earle Castledine & Craig Sharkie.
• Learning jQuery - Fourth Edition - Guide to jQuery, by Jonathan Chaffer and Karl Swedberg.
• jQuery Blog - News from the official jQuery website.
• jQuery UI Blog - Official jQuery UI blog.
• Sitepoint - Sitepoint's jQuery category section with useful articles.
• Smashing Magazine - jQuery tag, useful jQuery articles and tutorial alike blog posts.
• jQuery Foundation - Providing jQuery and many other projects home and support.
• jQuery Source Viewer - Browser of jQuery method implementations.
• Alternative jQuery Documentation Browser - Faster way to browse the jQuery documentation.
• TodoMVC - Helps you select JavaScript framework. Same Todo application created in multiple popular JavaScript MV* frameworks including jQuery.
• Plugins - Registry of jQuery plugins, previous one is now in read-only mode.
• jQuery Rain - Top & Best jQuery plugins, tutorials, cool effects, examples, demos.
• jQuery Unheap - A tidy repository of jQuery plugins.
• Animsition - A simple and easy jQuery plugin for CSS animated page transitions.
• fakeLoader.js - Lightweight plugin that helps you create an animated spinner with a fullscreen loading mask to simulate the page preloading effect.
• jQuery Transit - Super-smooth CSS3 transformations and transitions for jQuery.
• Material Design Preloader!s - Recreation of the Material Design preloader.
• Midnight - Switches fixed headers on the fly.
• Scrollify - Assists scrolling and snaps to sections. Touch optimised.
• Waves - Click effect inspired by Google's Material Design.
• Froala WYSIWYG HTML Editor - jQuery WYSIWYG Rich Text Editor based on HTML5.
• Hallo - Simple rich text editor (contentEditable) for jQuery UI.
• jQuery Notebook - A modern, simple and elegant WYSIWYG rich text editor.
• jQuery TE - Lightweight HTML editor.
• TinyMCE - Popular WYSIWYG editor with jQuery build and a jQuery integration plugin.
• Bootstrap Multiselect - Multiselect for Bootstrap.
• File Upload - File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video.
• Ideal Forms - Framework for building and validating responsive HTML5 forms.
• jQuery Form Plugin - Easy and unobtrusive HTML forms upgrade to use AJAX.
• jquery-minicolors - A tiny color picker plugin.
• Justified Gallery - Allows you to create a gallery with a justified grid.
• Labelauty - A lightweight and beautiful plugin for radio and checkbox inputs.
• Payform - A library (with jQuery plugin) for building credit card forms, validating inputs, and formatting numbers.
• Pickadate - The mobile-friendly, responsive, and lightweight date & time input picker.
• Select2 - Select box with support for searching, tagging, remote data sets, infinite scrolling.
• AnyChart-jQuery - Plugin for easily using AnyChart JavaScript charting library with jQuery.
• Arbor - Graph visualization library using web workers and jQuery.
• Cropper - A simple image cropping plugin.
• Dense.js - Serving retina-ready, high pixel ratio images with ease.
• Flot - Attractive charts.
• Gridder - Displays a thumbnail grid expanding preview similar to the effect seen on Google Images.
• jquery.sparkline - Generate small sparkline charts.
• jQuery.eraser - Erasing image with mouse or touch movements.
• jQuery Mapael - Plugin based on raphael.js that allows you to display dynamic vector maps.
• jQueryGantt - Gantt editor.
• Nivo Slider - Beautiful and easy to use image slider.
• Peity - Progressive pie, donut, bar and line charts.
• Unite Gallery - Responsive jQuery image and video gallery plugin.
• Viewer - A simple jQuery image viewing plugin.
• JQuery-linechart - Simple and lightweight library for creating line charts
• jQuery contextMenu - Management facility for context menus.
• jPanelMenu - Creates a paneled-style menu (like the type seen in the mobile versions of Facebook, Google and native iPhone applications).
• jQuery-menu-aim - Fires events when user's cursor aims at particular dropdown menu items.
• mmenu - App look-alike on- and off-canvas menus with sliding submenus.
• Multi-level push menu - Allows endless nesting of navigation elements.
• Slidebars - jQuery framework for off-canvas menus and sidebars.
• stickUp - Sticks an element to the top of the browser window while scrolling past it, always keeping it in view.
• Superfish - Adds usability enhancements to existing multi-level drop-down menus.
• Yamm - Yet another megamenu for Bootstrap 3.
• animatedModal.js - Plugin for creating fullscreen modals with CSS3 transitions. You can use the transitions from animate.css or create your own.
• Avgrund - Plugin for your modal boxes and popups with new concept of showing depth between popup and page.
• Bootstrap Modal - Extends the default Bootstrap Modal class. Responsive, stackable and ajax.
• iziModal - Elegant, responsive, flexible and lightweight modal plugin with jQuery.
• jBox - Powerful and flexible plugin which takes care of all modal windows, tooltips and notices.
• jQuery Modal - Simple and lightweight method of displaying modal windows.
• jQuery Popup Overlay - Responsive and accessible modal windows and tooltips.
• Magnific Popup - Fast, light and responsive lightbox plugin.
• SweetAlert - A beautiful replacement for JavaScript's alert.
• tipso - A Lightweight Responsive jQuery Tooltip Plugin.
• vex - A modern dialog library which is highly configurable and easy to style.
• Bootgrid - A grid control especially designed for bootstrap.
• Bootstrap table - A powerful table control designed for bootstrap.
• DataTables - Advanced interaction controls for HTML tables.
• FancyGrid - JavaScript grid library with charts integration and server communication.
• Filter Table - Live searching/filtering for HTML tables.
• FooTable - Make HTML tables responsive.
• Isotope - Filter & sort magical layouts.
• HighchartTable - Simple way to convert HTML data tables to Highcharts graphs.
• jqGrid - Grid plugin.
• jQuery treetable - Show a tree structure in a table.
• jsGrid - Lightweight grid plugin.
• Stackable.js - Stacking tables on small screens.
• Stupid Table Sort - A stupidly small and simple jQuery table sorter plugin.
• tableExport.jquery.plugin - Export HTML table to JSON, XML, CSV, TXT, SQL, Word, Excel, PNG or PDF.
• jQuery Timer Plugin - Start/Stop/Resume/Remove pretty timer inside any HTML element.
• Timeago - Easy support of automatic updating fuzzy timestamps (e.g. "4 minutes ago").
• i18n properties - Lightweight plugin for providing internationalization to JavaScript from .properties files
• jquery.i18n - jQuery based Javascript internationalization library for easy internationalization of web application
• jquery.localize.js - Easy internationalization of your static web site
• FormValidation - Form fields validator, designed for Bootstrap, Foundation, Pure, Semantic UI, UIKit and other frameworks.
• h5Validate - An HTML5 form validation plugin for jQuery.
• jQuery Form Validator - Validate user input while keeping your HTML markup clean from JavaScript code.
• jquery-validation - Drop-in validation for your existing forms, while making all kinds of customizations to fit your application really easy.
• jQuery.validationEngine - Validation of form fields in the browser.
• Boilerplate - A jump-start for jQuery plugins development.
• Interlink - Event interlink plugin.
• Sisyphus - Gmail-like client-side drafts and bit more.
• Slugify - Creates a URL slug as you type a page title (like Django slugify()).
• Readmore.js - A lightweight jQuery plugin for collapsing and expanding long blocks of text with "Read more" and "Close" links.
• jQuery mobile - Lightweight framework for building mobile web apps with HTML5.
• Interdimensional - Spatial scrolling on mobile devices for your web pages.
• OhSnap!.js - A simple jQuery/Zepto notification library designed to be used in mobile apps.
• Dragula - Framework agnostic drag and drop library, supports jQuery integration.
• jQuery UI - Curated set of user interface interactions, effects, widgets, and themes built on top of the jQuery.
• jQuery Enhanced Splitter - Create draggable content splitters to emulate frames and separate content.
• tabulous.js - Tabs for todays web
• X-editable - In-place editing with Twitter Bootstrap, jQuery UI or pure jQuery.
• Qunit - A JavaScript Unit Testing framework, used by the jQuery, jQuery UI and jQuery mobile projects.
• Mockjax - Provides a simple and extremely flexible interface for mocking or simulating ajax requests and responses.
• Bower - Useful package manager optimized for the front-end.
• Cheerio - Fast, flexible, and lean implementation of core jQuery designed specifically for the server.
• PHP front end setup without Node - Tutorial how to combine BowerPHP, Mini-Asset and Robo.li into a PHP front end asset building pipeline.
• symfony-collection - jQuery Plugin that manages adding, deleting and moving elements from a Symfony2 collection.
• django-static-jquery - jQuery packaged in an handy Django app to speed up new applications and deployment.
• jquery-rails - A gem to automate using jQuery with Rails.
• jquery-ui-rails - jQuery UI for the Rails asset pipeline.
• Forum - Official forum.
• Freenode - Support IRC channel for users of jQuery, jQuery UI, and jQuery Mobile.
• Stack Overflow - Support on Stack Overflow.
• Facebook - Large and active group on Facebook.
• Linked.in - Large and active group on Linked.in.
• Reddit - Discussion and sharing news, articles, plugins and tutorials, covering jQuery Core, jQuery UI, jQuery Mobile, and other related projects.
• Google+ - Large and active group on Google+.
• Quora - Ask and answer questions on Quora website.
• Meetup - Get involved locally.
• Twitter - Official news and updates from the jQuery team on Twitter.
• awesome - Awesome lists
• awesome-all - Awesome lists
• emijrp/awesome-awesome - Awesome lists
• erichs/awesome-awesome - Awesome lists
• GetAwesomeness - Awesome lists
• lists - Awesome lists
• awesome-javascript - Awesome JavaScript list
• awesome-javascript-books - Awesome JavaScript books
• js-must-watch - List of must-watch videos devoted to JavaScript
• Chinese - Chinese translation of Awesome jQuery.
• Force.com Enterprise Architecture - Learn enterprise application development on the Force.com platform, by Andrew Fawcett.
• Advanced Apex Programming - Learn advanced Apex programming fundamentals and design patterns, by Dan Appleman.
• Dfir intro - By Scott J. Roberts
• The Practice of Network Security Monitoring: Understanding Incident Detection and Response - Richard Bejtlich's book on IR
• Computer Vision: Models, Learning, and Inference - Simon J. D. Prince 2012
• Computer Vision: Theory and Application - Rick Szeliski 2010
• Computer Vision: A Modern Approach (2nd edition) - David Forsyth and Jean Ponce 2011
• Multiple View Geometry in Computer Vision - Richard Hartley and Andrew Zisserman 2004
• Computer Vision - Linda G. Shapiro 2001
• Vision Science: Photons to Phenomenology - Stephen E. Palmer 1999
• Visual Object Recognition synthesis lecture - Kristen Grauman and Bastian Leibe 2011
• Computer Vision for Visual Effects - Richard J. Radke, 2012
• High dynamic range imaging: acquisition, display, and image-based lighting - Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K 2010
• Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics - Justin Solomon 2015
• Learning OpenCV: Computer Vision with the OpenCV Library - Gary Bradski and Adrian Kaehler
• Practical Python and OpenCV - Adrian Rosebrock
• OpenCV Essentials - Oscar Deniz Suarez, Mª del Milagro Fernandez Carrobles, Noelia Vallez Enano, Gloria Bueno Garcia, Ismael Serrano Gracia
• Pattern Recognition and Machine Learning - Christopher M. Bishop 2007
• Neural Networks for Pattern Recognition - Christopher M. Bishop 1995
• Probabilistic Graphical Models: Principles and Techniques - Daphne Koller and Nir Friedman 2009
• Pattern Classification - Peter E. Hart, David G. Stork, and Richard O. Duda 2000
• Machine Learning - Tom M. Mitchell 1997
• Gaussian processes for machine learning - Carl Edward Rasmussen and Christopher K. I. Williams 2005
• Neural Networks and Deep Learning - Michael Nielsen 2014
• Bayesian Reasoning and Machine Learning - David Barber, Cambridge University Press, 2012
• Linear Algebra and Its Applications - Gilbert Strang 1995
• EENG 512 / CSCI 512 - Computer Vision - William Hoff (Colorado School of Mines)
• Visual Object and Activity Recognition - Alexei A. Efros and Trevor Darrell (UC Berkeley)
• Computer Vision - Steve Seitz (University of Washington)
• Language and Vision - Tamara Berg (UNC Chapel Hill)
• Convolutional Neural Networks for Visual Recognition - Fei-Fei Li and Andrej Karpathy (Stanford University)
• Computer Vision - Rob Fergus (NYU)
• Computer Vision - Derek Hoiem (UIUC)
• Computer Vision: Foundations and Applications - Kalanit Grill-Spector and Fei-Fei Li (Stanford University)
• High-Level Vision: Behaviors, Neurons and Computational Models - Fei-Fei Li (Stanford University)
• Advances in Computer Vision - Antonio Torralba and Bill Freeman (MIT)
• Computer Vision - Bastian Leibe (RWTH Aachen University)
• Computer Vision 2 - Bastian Leibe (RWTH Aachen University)
• Image Manipulation and Computational Photography - Alexei A. Efros (UC Berkeley)
• Computational Photography - Alexei A. Efros (CMU)
• Computational Photography - Derek Hoiem (UIUC)
• Computational Photography - James Hays (Brown University)
• Digital & Computational Photography - Fredo Durand (MIT)
• Computational Camera and Photography - Ramesh Raskar (MIT Media Lab)
• Computational Photography - Irfan Essa (Georgia Tech)
• Courses in Graphics - Stanford University
• Computational Photography - Rob Fergus (NYU)
• Introduction to Visual Computing - Kyros Kutulakos (University of Toronto)
• Computational Photography - Kyros Kutulakos (University of Toronto)
• Computer Vision for Visual Effects - Rich Radke (Rensselaer Polytechnic Institute)
• Introduction to Image Processing - Rich Radke (Rensselaer Polytechnic Institute)
• Machine Learning - Andrew Ng (Stanford University)
• Learning from Data - Yaser S. Abu-Mostafa (Caltech)
• Statistical Learning - Trevor Hastie and Rob Tibshirani (Stanford University)
• Statistical Learning Theory and Applications - Tomaso Poggio, Lorenzo Rosasco, Carlo Ciliberto, Charlie Frogner, Georgios Evangelopoulos, Ben Deen (MIT)
• Statistical Learning - Genevera Allen (Rice University)
• Practical Machine Learning - Michael Jordan (UC Berkeley)
• Course on Information Theory, Pattern Recognition, and Neural Networks - David MacKay (University of Cambridge)
• Methods for Applied Statistics: Unsupervised Learning - Lester Mackey (Stanford)
• Machine Learning - Andrew Zisserman (University of Oxford)
• Intro to Machine Learning - Sebastian Thrun (Stanford University)
• Machine Learning - Charles Isbell, Michael Littman (Georgia Tech)
• (Convolutional) Neural Networks for Visual Recognition - Fei-Fei Li, Andrej Karphaty, Justin Johnson (Stanford University)
• Convex Optimization I - Stephen Boyd (Stanford University)
• Convex Optimization II - Stephen Boyd (Stanford University)
• Convex Optimization - Stephen Boyd (Stanford University)
• Optimization at MIT - (MIT)
• Convex Optimization - Ryan Tibshirani (CMU)
• CVPapers - Computer vision papers on the web
• SIGGRAPH Paper on the web - Graphics papers on the web
• NIPS Proceedings - NIPS papers on the web
• Annotated Computer Vision Bibliography - Keith Price (USC)
• Calendar of Computer Image Analysis, Computer Vision Conferences - (USC)
• Computer Vision Talks - Lectures, keynotes, panel discussions on computer vision
• The Three R's of Computer Vision - Jitendra Malik (UC Berkeley) 2013
• Applications to Machine Vision - Andrew Blake (Microsoft Research) 2008
• The Future of Image Search - Jitendra Malik (UC Berkeley) 2008
• Should I do a PhD in Computer Vision? - Fatih Porikli (Australian National University)
• 3D Computer Vision: Past, Present, and Future - Steve Seitz (University of Washington) 2011
• Reconstructing the World from Photos on the Internet - Steve Seitz (University of Washington) 2013
• The Distributed Camera - Noah Snavely (Cornell University) 2011
• Planet-Scale Visual Understanding - Noah Snavely (Cornell University) 2014
• A Trillion Photos - Steve Seitz (University of Washington) 2013
• Reflections on Image-Based Modeling and Rendering - Richard Szeliski (Microsoft Research) 2013
• Photographing Events over Time - William T. Freeman (MIT) 2011
• Old and New algorithm for Blind Deconvolution - Yair Weiss (The Hebrew University of Jerusalem) 2011
• A Tour of Modern "Image Processing" - Peyman Milanfar (UC Santa Cruz/Google) 2010
• Computational Photography - William T. Freeman (MIT) 2012
• Revealing the Invisible - Frédo Durand (MIT) 2012
• Overview of Computer Vision and Visual Effects - Rich Radke (Rensselaer Polytechnic Institute) 2014
• Where machine vision needs help from machine learning - William T. Freeman (MIT) 2011
• Learning in Computer Vision - Simon Lucey (CMU) 2008
• Learning and Inference in Low-Level Vision - Yair Weiss (The Hebrew University of Jerusalem) 2009
• Object Recognition - Larry Zitnick (Microsoft Research)
• Generative Models for Visual Objects and Object Recognition via Bayesian Inference - Fei-Fei Li (Stanford University)
• Graphical Models for Computer Vision - Pedro Felzenszwalb (Brown University) 2012
• Graphical Models - Zoubin Ghahramani (University of Cambridge) 2009
• Machine Learning, Probability and Graphical Models - Sam Roweis (NYU) 2006
• Graphical Models and Applications - Yair Weiss (The Hebrew University of Jerusalem) 2009
• A Gentle Tutorial of the EM Algorithm - Jeff A. Bilmes (UC Berkeley) 1998
• Introduction To Bayesian Inference - Christopher Bishop (Microsoft Research) 2009
• Support Vector Machines - Chih-Jen Lin (National Taiwan University) 2006
• Bayesian or Frequentist, Which Are You? - Michael I. Jordan (UC Berkeley)
• Optimization Algorithms in Machine Learning - Stephen J. Wright (University of Wisconsin-Madison)
• Convex Optimization - Lieven Vandenberghe (University of California, Los Angeles)
• Continuous Optimization in Computer Vision - Andrew Fitzgibbon (Microsoft Research)
• Beyond stochastic gradient descent for large-scale machine learning - Francis Bach (INRIA)
• Variational Methods for Computer Vision - Daniel Cremers (Technische Universität München) (lecture 18 missing from playlist)
• A tutorial on Deep Learning - Geoffrey E. Hinton (University of Toronto)
• Deep Learning - Ruslan Salakhutdinov (University of Toronto)
• Scaling up Deep Learning - Yoshua Bengio (University of Montreal)
• ImageNet Classification with Deep Convolutional Neural Networks - Alex Krizhevsky (University of Toronto)
• Deep Learning for Computer Vision - Rob Fergus (NYU/Facebook Research)
• High-dimensional learning with deep network contractions - Stéphane Mallat (Ecole Normale Superieure)
• Graduate Summer School 2012: Deep Learning, Feature Learning - IPAM, 2012
• Machine Learning Summer School - Reykjavik, Iceland 2014
• Deep Learning Session 1 - Yoshua Bengio (Universtiy of Montreal)
• Deep Learning Session 2 - Yoshua Bengio (University of Montreal)
• Deep Learning Session 3 - Yoshua Bengio (University of Montreal)
• Computer Vision Resources - Jia-Bin Huang (UIUC)
• Computer Vision Algorithm Implementations - CVPapers
• Source Code Collection for Reproducible Research - Xin Li (West Virginia University)
• OpenGV - geometric computer vision algorithms
• MinimalSolvers - Minimal problems solver
• openMVG: open Multiple View Geometry - Multiple View Geometry; Structure from Motion library & softwares
• Coarse2Fine Optical Flow - Ce Liu (MIT)
• FabMap: appearance-based loop closure system - also available in OpenCV2.4.11
• Geometric Context - Derek Hoiem (CMU)
• Recovering Spatial Layout - Varsha Hedau (UIUC)
• Geometric Reasoning - David C. Lee (CMU)
• RGBD2Full3D - Ruiqi Guo (UIUC)
• Ceres Solver - Nonlinear least-square problem and unconstrained optimization solver
• OpenGM - Factor graph based discrete optimization and inference solver
• GTSAM - Factor graph based lease-square optimization solver
• CV Datasets on the web - CVPapers
• Are we there yet? - Which paper provides the best results on standard dataset X?
• Resources for students - Frédo Durand (MIT)
• Advice for Graduate Students - Aaron Hertzmann (Adobe Research)
• Graduate Skills Seminars - Yashar Ganjali, Aaron Hertzmann (University of Toronto)
• Research Skills - Simon Peyton Jones (Microsoft Research)
• Resource collection - Tao Xie (UIUC) and Yuan Xie (UCSB)
• Write Good Papers - Frédo Durand (MIT)
• Notes on writing - Frédo Durand (MIT)
• How to Write a Bad Article - Frédo Durand (MIT)
• How to write a good CVPR submission - William T. Freeman (MIT)
• How to write a great research paper - Simon Peyton Jones (Microsoft Research)
• How to write a SIGGRAPH paper - SIGGRAPH ASIA 2011 Course
• Writing Research Papers - Aaron Hertzmann (Adobe Research)
• How to Write a Paper for SIGGRAPH - Jim Blinn
• How to Get Your SIGGRAPH Paper Rejected - Jim Kajiya (Microsoft Research)
• How to write a SIGGRAPH paper - Li-Yi Wei (The University of Hong Kong)
• How to Write a Great Paper - Martin Martin Hering Hering--Bertram (Hochschule Bremen University of Applied Sciences)
• How to have a paper get into SIGGRAPH? - Takeo Igarashi (The University of Tokyo)
• Good Writing - Marc H. Raibert (Boston Dynamics, Inc.)
• How to Write a Computer Vision Paper - Derek Hoiem (UIUC)
• Common mistakes in technical writing - Wojciech Jarosz (Dartmouth College)
• Giving a Research Talk - Frédo Durand (MIT)
• How to give a good talk - David Fleet (University of Toronto) and Aaron Hertzmann (Adobe Research)
• Designing conference posters - Colin Purrington
• How to do research - William T. Freeman (MIT)
• You and Your Research - Richard Hamming
• Warning Signs of Bogus Progress in Research in an Age of Rich Computation and Information - Yi Ma (UIUC)
• Seven Warning Signs of Bogus Science - Robert L. Park
• Five Principles for Choosing Research Problems in Computer Graphics - Thomas Funkhouser (Cornell University)
• How To Do Research In the MIT AI Lab - David Chapman (MIT)
• Recent Advances in Computer Vision - Ming-Hsuan Yang (UC Merced)
• How to Come Up with Research Ideas in Computer Vision? - Jia-Bin Huang (UIUC)
• How to Read Academic Papers - Jia-Bin Huang (UIUC)
• Time Management - Randy Pausch (CMU)
• Learn OpenCV - Satya Mallick
• Tombone's Computer Vision Blog - Tomasz Malisiewicz
• Computer vision for dummies - Vincent Spruyt
• Andrej Karpathy blog - Andrej Karpathy
• AI Shack - Utkarsh Sinha
• Computer Vision Talks - Eugene Khvedchenya
• The Computer Vision Industry - David Lowe
• Relevant Search: with applications for Solr and Elasticsearch - demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines.
• Elasticsearch in Action - teaches you how to build scalable search applications using Elasticsearch
• Serverless - Patterns of Modern Application Design Using Microservices (Amazon Web Services Edition).
• Serverless Single Page Apps - The Pragmatic Bookshelf.
• Learn Serverless - Book about the Serverless framework.
• Elixir Cookbook - This book is a set of recipes grouped by topic by Paulo A Pereira (2015).
• Elixir in Action - A brief intro to the language followed by a more detailed look at building production-ready systems in Elixir by Saša Jurić (2015).
• Erlang and Elixir for Imperative Programmers - Introduction to Erlang and Elixir in the context of functional concepts by Wolfgang Loder (2016).
• Erlang in Anger - This book intends to be a little guide about how to be the Erlang medic in a time of war by Fred Hebert (2014).
• Getting Started - Elixir - PDF, MOBI, and EPUB documents for Elixir's Getting Started tutorial (2016).
• Introducing Elixir - A gentle introduction to the language, with lots of code examples and exercises by Simon St. Laurent and J. David Eisenberg (2013).
• Metaprogramming Elixir: Write Less Code, Get More Done (and Have Fun!) - Thorough explanation on how to exploit Elixir's metaprogramming capabilities to improve your Elixir coding by Chris McCord (2015).
• Programming Elixir - The book provides introduction to functional and concurrent programming with Elixir by Dave Thomas (2014).
• Programming Phoenix - Definitive guide to build web applications with the Phoenix framework by Chris McCord, José Valim and Bruce Tate (2015).
• The Little Elixir & OTP Guidebook - A book for learning Elixir and OTP through small to medium-sized projects by Benjamin Tan Wei Hao (2014).
• Études for Elixir - A collection of exercises to program in Elixir by J. David Eisenberg (2013) (Github Repo).