OwlTrainLab @owltrainlab
Data Scientist @ OwlTrainLab🦉 Joined February 2019-
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Introduction to Dimensionality Reduction for Machine Learning machinelearningmastery.com/dimensionality… #datascience #feedly
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Deep learning of physical laws from scarce data. (arXiv:2005.03448v1 [cs.LG]) arxiv.org/abs/2005.03448 #papers- ai #ml #feedly
Principal Component Analysis for Dimensionality Reduction in Python machinelearningmastery.com/principal-comp… #datascience #feedly
Understanding the Shape of Large-Scale Data ai.googleblog.com/2020/05/unders… #datascience #feedly
Generative Adversarial Networks in Python towardsdatascience.com/generative-adv… #datascience #feedly
Recommendation System PART 1 — Use of Collaborative Filtering and Hybrid Collaborative — Content… towardsdatascience.com/recommendation… #datascience #feedly
Forecasting Stock Prices using XGBoost — A Detailed Walk-Through towardsdatascience.com/forecasting-st… #datascience #feedly
Probabilistic Model Selection with AIC, BIC, and MDL machinelearningmastery.com/probabilistic-… #datascience #feedly
Cross-Entropy for Machine Learning and Deep Learning machinelearningmastery.com/cross-entropy-… #datascience #feedly
A Gentle Introduction to Monte Carlo Sampling for Probability machinelearningmastery.com/monte-carlo-sa… #datascience #feedly
A Gentle Introduction to Expectation-Maximization (EM Algorithm) machinelearningmastery.com/expectation-ma… #datascience #feedly
AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning deepmind.com/blog/article/A… #datascience #feedly
What is Exploratory Spatial Data Analysis (ESDA)? towardsdatascience.com/what-is-explor… #datascience #feedly
OwlTrainLab retweeted
RT @sDataManagement: Life is about who is connected to whom -- and what is connected to what. Big Data guru @KirkDBorne discusses graph analytics. bit.ly/2HyBDs7
OwlTrainLab retweeted
A really nice notebook on LSTM! [BOOKMARK] ow.ly/nyLd30nSg5B | h/t @rctatman for the find! #lstm #machinelearning
OwlTrainLab retweeted
Learn the foundations of Deep Learning and TensorFlow from @MIT: complete lecture series and code examples for TensorFlow 2.0 now online! Read more here ↓ bit.ly/2IIDxHu
A General Guidance of Hypothesis Testing towardsdatascience.com/a-general-guid… #datascience #feedly
Nature’s Patterns are Changing: Explore 32 Years of Community Science Data towardsdatascience.com/natures-patter… #datascience #feedly
Smart interaction design is the proper way to solve the learning problem in AI towardsdatascience.com/smart-interact… #datascience #feedly
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