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mlbook.explained.aiThe Mechanics of Machine LearningWarning: The content of this book is so unexciting that you'll be able to use it in your actual job! You'll learn how machine learning works and how to apply it in practice. We focus on just a few powerful models (algorithms) that are extremely effective on..
heatonresearch.com/encogEncog Machine Learning Framework | Heaton ResearchEncog is a pure-Java/C# machine learning framework that I created back in 2008 to support genetic programming, NEAT/HyperNEAT, and other neural network technologies. Encog supports a variety of advanced algorithms, as well as support classes to normalize an..
courses.media.mit.edu/2013fall/mass62Interactive Machine LearningThese efforts include applying interaction design principles to machine learning systems, using human-subject testing to evaluate machine learning systems and inspire new methods, and changing the input and output channels of machine learning systems to bet..
mlbookcamp.comMachine Learning Bookcampmachine learning Bookcamp: learn machine learning by doing projects and get the skills needed to work as a data scientist or machine learning engineer. Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six ..
betterexplained.com/articles/adept-machine-learning-courseStudying a Course (Machine Learning) with the ADEPT Method - BetterExplainedI've read a smattering of blog posts, the subject is growing, and after my friend asked me to join the class, I had to sign up. machine Learning: Create models with Linear Algebra, then improve them with Calculus. This course is among the most fun I've had ..
deborahhanus.com/blog/learn-machine-learningHow to learn Machine Learning | Deborah HanusWhile I know some people who have learned machine learning simply by reading this text, I think that it can be a bit thick if it is your first introduction to machine learning, but is a wonderful reference once you have a better idea of how things fit toget..
ciml.infoA Course in Machine Learning
recon.cx/2012/schedule/events/245.en.htmlRecon2012: Predicting English keywords from Java Bytecodes using Machine LearningI've been working on predicting English keywords in source code comments with access only to the method's compiled bytecodes. I've put together a collection of 330 thousand de-compiled Java methods plus their corresponding Java Doc textual comments from the..
alex.smola.org/drafts/thebook.pdfINTRODUCTION TO MACHINE LEARNING
cs229.stanford.edu/projects2012.htmlCS 229: Machine Learning Final Projects, Autumn 2012A Flexible System for Hand Gesture Recognition. Chaohao Wang, Gilbert Fu, Alan Quach. Titanic: machine learning from Disaster.
soundcloud.com/exponentialview/danny-lange-unity-exponential-viewThe state of machine learning: A conversation between Azeem Azhar and Dr. Danny Lange by Exponential View | Free Listeni..With more than 40% market share in mobile games, a billion monthly active users and 2.6 billion unique devices, Unity has a profoundly important role in booming gaming and VR markets. In this episode, Azeem talks with Dr. Danny Lange, VP of AI and machine l..
medium.com/learning-new-stuff/machine-learning-in-a-year-cdb0b0ebd29cMachine Learning in a Year. From being a total ml noob to starta| | by Per Harald Borgen | Learning New Stuff | MediumSo I asked my manager if I could spend some time learning stuff during my work hours as well, which he happily approved. At one point, I realized I needed help from someone better than me, so I came in touch with a Ph.D student who was willing to help me ou..
techblog.bozho.net/getting-started-with-machine-learningGetting Started with Machine Learning - Bozho's tech blogI never programmed actual machine learning tasks, but got a good overview. If you have to classify an email as spam or not spam, your precision is the percentage of the emails properly marked as spam from all the emails marked as spam. So if you have 200 em..
videolectures.net/bootcamp2010_murray_imlIntroduction to Machine Learning - VideoLectures.NETIntroduction to machine learning published: Aug. 5, 2010, recorded: July 2010, views: 92019 Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our tick..
cs.cmu.edu/Groups/AI/areas/learning/systems/0.htmlMachine Learning Software Packagesmachine learning Software Packages areas/learning/systems/ accel/ ACCEL: Abduction classweb/ CLASSWEB: Classit and Cobweb focl/ FOCL: Expert System Shell and machine learning learn_pl/ machine learning Algorithms Implemented in Prolog miles/ MILES: Flexible..
videolectures.net/ecmlpkdd2011_bishop_embracingEmbracing Uncertainty: Applied Machine Learning Comes of Age - VideoLectures.NETEmbracing Uncertainty: Applied machine learning Comes of Age published: Oct. 3, 2011, recorded: September 2011, views: 9899 Over the last decade the number of deployed applications of machine learning has grown rapidly, with examples in domains ranging from..
udacity.com/course/machine-learning-for-trading--ud501Machine Learning for TradingThis course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. Students should have strong coding skills and some familiarit..
csee.umbc.edu/~adaliTulay Adali, Machine Learning for Signal Processing Lab, University of Maryland Baltimore County (UMBC)Prof. Adali assisted in the organization of a number of international conferences and workshops including the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), the IEEE International Workshop on Neural Networks for Signal P..
people.idsia.ch/~juergenJuergen Schmidhuber's home page -Universal Artificial Intelligence - New AI - Deep Learning - Recurrent Neural Networks -Computer Vision - Object Detection - Image segmentation - Goedel Machine - Theory of everything - Algorithmic theory of everything -Computable universe - Zuse's thesis - Universal learning algorithms - Universal search - Kolmogorov Complexity - Algorithmic information -Super Omega - Speed Prior - Independent component analysis - ICA -Financial forecasting - Evolution - Reinforcement learning - POMDPs - Reinforcement learning economy - Hierarchical learning - Metalearning - Learning to learn - Self-Improvement - Genetic programming - Attentive vision - Active exploration - Theory of beauty - Theory of creativity - Theory of Humor -Facial Attractiveness - Low-complexity Art - Lego ArtArtificial Curiosity & Creativity & Intrinsic Motivation & Developmental Robotics, Formal Theory of Fun & Creativity, Our neural nets also set numerous world records, and were the first Deep Learners to win pattern recognition contests in general (2009), th..
dblp.uni-trier.de/db/conf/mldm/index.htmlInternational Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM)machine learning and Data Mining in Pattern Recognition, 15th International Conference on machine learning and Data Mining, MLDM 2019, New York, NY, USA, July 20-25, 2019, Proceedings, Volume I. ibai Publishing 2019, ISBN 978-3-942952-62-0 [contents] Machin..