Sean Randalladded this to Never Always WorksBig Data Get certified in machine learning and data science for $35Android AuthorityData science is a booming industry. Using machine learning, companies are turning raw data into profitable action points at an unforeseen rate. The benefits to business are so profound that many industries
mmantu sinhaadded this to IOT-AI-MLBig Data Transfer Learning With PySparkcodementor.io - Mohammed Innat In this article, we’ll demonstrate a Computer Vision problem with the power to combined two state-of-the-art technologies: Deep Learning with Apache …
FlipboardIcon version of the Flipboard logoDeclaration Of IndependenceDiscussion with Nassim Taleb about sexism and racism in the Declaration of Independence « Statistical Modeling, Causal andcolumbia.edu - statmodeling.stat.columbia.edu Nassim Taleb points to this post from congressmember Ayanna Pressley linking to an opinion piece by Matthew Rozsa. Rozsa’s article has the title, …
PPatrick Kelleyadded this to AI KelleyLabResearch New research: Deep Learning for Image Analysisfastforwardlabs.com We’ll be discussing this research as part of our virtual event on Wednesday, July 24th at 10:00am PT (1:00pm ET). Register for the event …
PoweredByFlipboardadded this to FLIPBOARD CODINGData Management Data Science, Past & Futuredominodatalab.com Paco Nathan presented, “Data Science, Past & Future”, at Rev. This blog post provides a concise session summary, a video, and a written transcript. At …
Statistics Analyzing Text Classification Techniques on Youtube Datacodementor.io - Rohit Agrawal Analysis of different algorithms for text classification
FlipboardIcon version of the Flipboard logoStatistical Modeling “Guarantee” is another word for “assumption” « Statistical Modeling, Causal Inference, and Social Sciencecolumbia.edu - statmodeling.stat.columbia.edu I always think it’s funny when people go around saying their statistical methods have some sort of “guaranteed” performance. I mean, sure, guarantees …
Video Poker Strategydatagenetics.com Some of the things we need to be aware of that affect the holding strategies are: The payout table is top heavy. The payout for a full-bet Royal Flush …
Roberto C. Moralesadded this to PYTHON, R, STATISTICS AND DATA SCIENCE STUFFNeat Evolving Networkswordpress.com - by wellecks The problem of finding neural network topologies is a problem with a rich history in evolutionary computing, or neuroevolution. This post will …
Artificial IntelligenceImport AI 156: The 7,500 images that break image recognition systems; open source software for deleting objects from videos;jack-clark.net - Import AI Want 7,500 images designed to trick your object recognition system? Check out the ‘Natural Adversarial Examples’ dataset: …Can your AI system deal …
Coleridge Seeking Reproducibility within Social Science: Search and Discoverydominodatalab.com - blog.dominodatalab.com Julia Lane, NYU Professor, Economist and cofounder of the Coleridge Initiative, presented “Where’s the Data: A New Approach to Social Science Search …
Coin Collecting Omakase 1: Ropemankvfrans.com - Kevin Frans Every month, I'm going to build a game. Each one will be small, and in each game I'm going to focus deeply on a single aspect and try and improve …
VVon Liechtensteinadded this to Modeling And DataArtificial Intelligence How to Develop an Information Maximizing GAN (InfoGAN) in Kerasmachinelearningmastery.com - Jason Brownlee The Generative Adversarial Network, or GAN, is an architecture for training deep convolutional models for generating synthetic images. Although …
Joe added this to Ai/MlArtificial Intelligence Principal Component Analysis in R - Walk Through | Machine Learningdimensionless.in - Samadrita Ghosh Principal Component Analysis or PCA is one of the simplest and fundamental techniques used in machine learning. It is perhaps one of the oldest …
FlipboardIcon version of the Flipboard logoStatistical ModelingAlison Mattek on physics and psychology, philosophy, models, explanations, and formalization « Statistical Modeling, Causalcolumbia.edu - statmodeling.stat.columbia.edu I saw your recent blog post on falsifiable claims. For the past couple of years I have been developing a theoretical framework that highlights the …
UUnappliedGeniusadded this to Python Time!Algorithms The 5 Sampling Algorithms every Data Scientist need to knowtowardsdatascience.com - Rahul Agarwal The 5 Sampling Algorithms every Data Scientist need to know I grapple through with many algorithms on a day to day basis so I thought of listing some …
MMichael Thompsonadded this to BayesianProbability Bayesian Bandits explained simplymlwhiz.com Exploration and Exploitation play a key role in any business. And any good business will try to “explore” various opportunities where it can make a …
Roberto C. Moralesadded this to PYTHON, R, STATISTICS AND DATA SCIENCE STUFFPedagogy How I Build Learning Projects — Part Imedium.com - Robert Chang A Little Bit of Slope Makes Up For A Lot of Y-Intercept Recently, I came across a blog post written by Simon Hørup Eskildsen on how he approaches …
Rajeshadded this to Technology and More!APIs Big News: Porting vtreat to Pythonwin-vector.com - Author John Mount We are finally porting a streamlined version of our R vtreat variable preparation package to Python. vtreat is a great system for preparing messy data …
FlipboardIcon version of the Flipboard logoWhat’s published in the journal isn’t what the researchers actually did. « Statistical Modeling, Causal Inference, and Sciencecolumbia.edu - statmodeling.stat.columbia.edu Alternating Assignment was Incorrectly Labeled as Randomization, by Bridget Hannon, J. Michael Oakes, and David Allison, in the Journal of …
Senthilkumar Ramasamyadded this to PythonPython Programming Minimal Pandas Subset for Data Scientistsmlwhiz.com Data manipulation is a breeze with pandas, and it has become such a standard for it that a lot of parallelization libraries like Rapids and Dask are …
Roberto C. Moralesadded this to PYTHON, R, STATISTICS AND DATA SCIENCE STUFFFlipboardIcon version of the Flipboard logo 10 reasons why Dimensionless has the Best Science Coursedimensionless.in - Kartik Singh Data Science was called “The sexiest work of the 21st Century” by the Harvard Review. Data researchers as problematic solvers and analysts identify …
aanishnzadded this to TechFaceApp The trending story of FaceApp and GANs | Neural Networksdimensionless.in - Kartik Singh Have you been lately flooded with different posts on your social media profiles showing people with their current age on the left and their older …
CCelestialDustadded this to AIFlipboardIcon version of the Flipboard logoCognition Gendered languages and women’s workforce participation rates « Statistical Modeling, Causal Inference, and Social Sciencecolumbia.edu I recently came across a world bank document claiming that gendered languages reduce women’s labor force participation rates. It is summarized in the …
Forbesadded this to LeadershipAutomation How Automation Is Changing Data ScienceForbes - Ryohei FujimakiData science can provide a high return on investment across multiple industries and use cases. Whether predicting new target customers, measuring product demand or detecting high product failures - the
Harshadded this to Analytics & Data ScienceArtificial Intelligence More datasets for teaching data science: The expanded dslabs package · Simply Statisticssimplystatistics.org We have expanded the dslabs package, which we previously introduced as a package containing realistic, interesting and approachable datasets that can …
TThong Tranadded this to Machine Learning & Computer Science&Data ScienceDeep Learning How to Develop an Auxiliary Classifier GAN (AC-GAN) From Scratch with Kerasmachinelearningmastery.com - Jason Brownlee Generative Adversarial Networks, or GANs, are an architecture for training generative models, such as deep convolutional neural networks for …
wwfareradded this to AnalyticsStatistics Invariant Risk Minimization: An Information Theoretic Viewinference.vc - Ferenc Huszar There are three (sets of) observable variables: $E$, the environment index, $X$, the features describing the datapoint and $Y$, the label we wish to …
Machine Learning Keras learning rate schedules and decay - PyImageSearchpyimagesearch.com - Adrian Rosebrock In this tutorial, you will learn about learning rate schedules and decay using Keras. You’ll learn how to use Keras’ standard learning rate decay …
Pranay Kumaradded this to Data ScienceStatistical ModelingA rise in premature publications among politically engaged researchers may be linked to Trump’s election, study says « Modeling,columbia.edu A couple people pointed me to this news story, “A rise in premature births among Latina women may be linked to Trump’s election, study says,” and the …
