Showing 1-20 of 111 results in 0.01s suggest a link
- Interesting recently
- Machine Learning Specializationdeeplearning.ai
- Visual explanations of core machine learning conceptsmlu-explain.github.io
- Steve Blank Artificial Intelligence and Machine Learning– Explainedsteveblank.com
- Accelerating the pace of machine learningtechxplore.com
- Physics-Informed Machine Learning for Modeling Turbulence in Supernovaearxiv.org
cs.ox.ac.uk/people/nando.defreitas/machinelearningMachine LearningClass on Week 3: Problem set. Class on Week 7: Problem set. Class on Week 8: Problem set.
machinelearningmastery.com/machine-learning-mattersMachine Learning Matters - Machine Learning MasteryLike knowing your why, knowing the value of the field can be used as a powerful filter of information and help you focus on those methods that actually deliver on the promise that the field makes. The promise that machine learning makes is that it provides ..
manning.com/books/machine-learning-in-actionMachine Learning in Actionmachine learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that impleme..
- From the Internet Archive
-  Machine Learning Datasetdavelyon.net
openai.com/blog/machine-learning-unconferenceMachine Learning UnconferencePlease join us for our first machine learning Unconference, an experimental gathering driven by its participants rather than an organizing committee. All attendees are also encouraged to bring a poster describing machine learning work that would be interest..
idlewords.com/talks/deep_fried_data.htmMACHINE LEARNINGLater on I saw librarians fail to engage with vibrant communities at Flickr and Delicious, services they would later grow to love, because of their unstructured approach to tagging. It takes courage to ask for a grant to bring a collection online with no me..
brenocon.com/blog/2008/12/statistics-vs-machine-learning-fightStatistics vs. Machine Learning, fight! | AI and Social Science - Brendan O'ConnorDec 2008 - Current take: Statistics, not machine learning, is the real deal, but unfortunately suffers from bad marketing. Of course, the stats people wrote a very good book; but better lecture notes win because I can access them later and send them to people for free..
github.com/VowpalWabbit/vowpal_wabbitGitHub - VowpalWabbit/vowpal_wabbit: Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning. The input format for the learning algorithm is substa..
moz.com/blog/learning-machine-learningA Machine Learning Guide for Average Humans - MozIt's about regular Joes and Joannas with an interest in machine learning, and who want to spend their learning time efficiently. Read content focused on teaching the breadth of machine learning -- building an intuition for what the algorithms are trying to ..
machinelearningmastery.comMachine Learning Mastery - Machine Learning MasteryWelcome to machine learning Mastery! Hi, I’m Jason Brownlee PhD and I help developers like you skip years ahead. Discover how to get better results, faster.
hunch.net/?p=829The Machine Learning Forum - Machine Learning (Theory)An obvious other effect is that there will be fewer negative reviews, weak papers will tend not to get reviewed at all, but then again, is that such a bad thing? If you have any interest in this endeavor, please register to the web site and please submit a ..
alex.smola.org/teaching/berkeley2012SML: Scalable Machine LearningScalable machine learning occurs when Statistics, Systems, machine learning and Data Mining are combined into flexible, often nonparametric, and scalable techniques for analyzing large amounts of data at internet scale. The class will cover systems and proc..
christophm.github.io/interpretable-ml-bookInterpretable Machine Learningmachine learning has great potential for improving products, processes and research. The focus of the book is on model-agnostic methods for interpreting black box models such as feature importance and accumulated local effects, and explaining individual pre..
lernapparat.de/fast-lstm-pytorchLernapparat - Machine LearningSo instead inventing a new language, we look at making the JIT compilerWhile I'm proud and happy that the bits I added to the JIT are useful, I only have a very modest contribution here, namely extending the fuser a bit and adding new optimizations, but the..