Top 100 alternative sites to dohmatob.github.io
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Michael P. Friedlander | UBC | Computational Mathematics
Professor of Computer Science and Mathematics. Research in mathematical optimization, convex analysis, machine learning, and signal processing
Author: Z Fan; H Jeong; Y Sun; M P Friedlander
Mukkamala Mahesh Chandra, Mathematical Optimization Group, University of Tuebingen.
Mathematical Optimization Thoughts, blog on Inertial Bregman Proximal Gradient Algorithm and in general on Non-convex Non-smooth Non-Lipschitz optimization, maybe Convex optimization and Matrix Factorization.
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Yisong Yue
Yisong Yue is a professor in the Computing and Mathematical Sciences Department at the California Institute of Technology. His research interests lie primarily in the theory and application of statistical machine learning.
Gautam Goel
Gautam Goel is a PhD student in the Computing and Mathematical Sciences department at Caltech. His main research interests are in machine learning, optimization, and the analysis of algorithms.
The Orange Duck | Daniel Holden
Computer Science, Machine Learning, Programming, Art, Mathematics, Philosophy, and Short Fiction
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Computer Science student at Worcester Polytechnic Institute. Interested in machine learning, mathematics, cafe racers, finding the tastiest ramen.
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Author: Keshan Sanjaya Sodimana
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A blog on science | A blog on things I’m interested in such as mathematics, physics, programming, machine learning, data science, and radiat
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Website for the Smooth Games Optimization and Machine Learning Workshop (NeurIPS2018)
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Greve.dev
Developer website for computer science topics such as DirectX 12, Machine Learning, Algorithms and Datastructures, Reverse Engineering and Mathematics.
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Cyril Meyer | PhD student in computer science, image analysis and signal processing using deep/machine learning and mathematical morphology.
PhD student in computer science, image analysis and signal processing using deep/machine learning and mathematical morphology.
Mattia G Bergomi – Mathematics and (machine) learning
Mathematics and (machine) learning
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Modus Ponens
Machine Learning On Mathematics
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Ioannis (Yannis) Mitliagkas
Assistant Professor, Mila, Computer Science, University of Montreal. Machine learning and optimization.
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Machine Learning, Statistics, Mathematics eBooks and Articles
Machine Learning, Mathematics, Statistics
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Neurodata
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Machine learning – subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.[1] Due to numerous applications of machine learning in different fields, the use of machine learning ... Read more
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Learn Mathematics, Science & mind blowing ideas.
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Math and Brain Games. Mathematics Question Database. For K-12 kids, teachers and parents.
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Learn about the Blockforce Multi-Strategy Hedge Fund. Cryptocurrency investing which utilizes machine learning techniques and modern portfolio theory to minimize risk and optimize return.
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Thoughts on Machine Learning and Computer Science
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Data Science and Machine Learning, Remixed
search arXiv preprints
semion.io - search scientific content on arXiv.org. Find preprints in physics and astrophysics, mathematics and statistics, computer science, machine learning and deep learning, electrical engineering and systems science, economics and quantitative finance, and quantitative biology.
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Data Science and Machine Learning portfolio of Tom Gilmore.
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Discover why why popular brain games have limited effectiveness and learn 3 unique science-based exercises that will help you restore brain function, improve performance and maintain longevity.
David Steurer — ETH Zurich, Computer Science, Theory
David Steurer is an associate professor at ETH Zurich. He investigates the power and limitations of mathematical relaxations for basic optimization and estimation problems. His current focus is on the sum-of-squares method and the Unique Games Conjecture with applications to estimation problems that arise in machine learning.
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Ligbron e-Learning System
Ligbron e-Learning System - Using Technology to Improve the Teaching and Learning of Mathematics and Science
Vivek Yadav's blog
A data science and machine learning enthusiast's blog for a data science and machine learning enthusiast.
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The purpose of the Association for Women in Mathematics is to encourage women and girls to study and to have active careers in the mathematical sciences, and to promote equal opportunity and the equal treatment of women and girls in the mathematical sciences.
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Sharing insights I gathered on my journey to Data Science and Machine Learning
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Home - Aeroscience
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Learn topics on core Computer Science, Machine Learning, Systems Programming, Software Engineering, Robotics and much more.
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Play at 7 games the best Games for Brain and Soul
PLay at 7 games the best killing time games for boys and girls. Games optimized for your brain and soul.
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Michael Heinzers blog
This blog discusses various topics related to machine learning and mathematics with a focus on deep learning
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Giuseppe Durisi - Giuseppe Durisi
Giuseppe Durisi, Professor, Chalmers University of Technology, information theory, communication theory, machine learning, AI
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Industry-grade data science and machine learning from Berlin.
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Damath - Online Game
Damath is a board game made by Filipino. Its purpose is for educational game for learning mathematics.
Amusements in Mathematics by Henry Ernest Dudeney - Home - Come join the fun in solving logic and math problems, brain teasers, puzzles, min
Amusements in Mathematics by Henry Ernest Dudeney - Home - Come join the fun in solving logic and math problems, brain teasers, puzzles, mind games
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Martin Hinz
My personal webpage about my work, archaeology and quantitative research
Bigdata-Vandy Blog
The Big Data blog for ACCRE at Vanderbilt University.
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Abacus
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Nowling Lab
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Seita's Place
This is my blog, where I have written over 300 articles on a variety of topics. Recent posts tend to focus on computer science, my area of specialty as a Ph.D. student at UC Berkeley.
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Impervious Invisibility
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Falconius site
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bolu.dev | 💻 + 🧬 + 📸 = 🤯
Thoughts and notes on programming, data science and other things
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数往知来
在终极的分析中，一切知识都是历史；在抽象的意义下，一切科学都是数学；在理性的基础上，所有的判断都是统计学。 ——《统计与真理——怎样运用偶然性》
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Data Voyage - Blog of Holger Peters
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Rishikesh
Rishi's thoughts
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Min(blog)
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Christopher Bourez's blog
Disrupting SASU. Christopher Bourez
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WSPR.IO
By William Samuel Parker Robertson. Academic in engineering (magnetic levitation, vibration control, mechatronics, biomechanics). Member of the LaTeX3 Project.
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Daniel C. LaCombe, Jr
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Huanwei Wang's blog
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Fuyang Liu's Blog
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James Bird
I am a lead software developer in the visual effects industry. I currently work at DNEG, where I lead Virtual Production R&D. Prior to this, I worked at a variety of software and game studios (Microsoft - Lift/Rare, Realtime Worlds, eeGeo). This is my personal blog and does not represent the views of my employers.
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Samuel Jones
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