Marc Hansenflipped into Analysis Process Machine Learning Classifying Rare Events Using Five Machine Learning Techniquestowardsdatascience.com - Leihua Ye Supervised learning is the machine learning task or process of producing a function that predicts output variables. It has been adopted widely in the …

Towards Data Scienceflipped into MathematicsProbability Explaining to a 5-year old: Logistic Regressiontowardsdatascience.com - Sam Bell Logistic regression uses math to evaluate the chances of something happening or not happening. It allows us to answer any “yes or no” questions. Refer …

Towards Data Scienceflipped into Editors' PicksMachine Learning Benchmarking simple machine learning models with feature extraction against modern black-box…towardsdatascience.com - Martin Dittgen Benchmarking simple machine learning models with feature extraction against modern black-box methods People in the financial industry love logistic …

Towards Data Scienceflipped into Machine LearningData Science Introducing the Four-Square model: For more accurate Linear Regressiontowardsdatascience.com - Emmett Boudreau There is something so fascinating about paving the way for Data-Science. I think that creating a model that boosts your accuracy even just a teeny …

Towards Data Scienceflipped into Machine LearningIcon version of the Flipboard logoBadminton Service, point lead, and consecutive points in badminton gamestowardsdatascience.com - Xiaoxiang Ma Point_won is expressed as a binary column in the processed dataset. 1 referring to the point is won and 0 referring to the point is lost. This makes …

Towards Data Scienceflipped into Machine LearningMachine Learning Customer churn classification using predictive machine learning modelstowardsdatascience.com - Black Raven Metis Data Science Bootcamp has been rigorous, and this is my third project. The goal is to predict customer churn in a Telecommunication …

Steve44flipped into AI, ML, And MathData Science Probability for Machine Learning (7-Day Mini-Course)machinelearningmastery.com - Jason Brownlee Probability for Machine Learning Crash Course. Get on top of the probability used in machine learning in 7 days. Probability is a field of mathematics …

Roberto C. Moralesflipped into PYTHON, R, STATISTICS AND DATA SCIENCE STUFFData Science Applying Data Science to ESports (PUBG)towardsdatascience.com - Aakash Sharma We all grew up playing video games right? Well how can we apply data science & data analytics to video games? PlayerUnknown’s Battleground also known …

nomadoeflipped into Data Science From ScratchPregnancy Learning Data Science: The Supermarket knows you are pregnant before your Dad doesr-bloggers.com - Learning Machines [This article was first published on R-Bloggers – Learning Machines, and kindly contributed to R-bloggers]. (You can report issue about the content …

Towards Data Scienceflipped into Machine LearningCredit Cards Logistic Regressions and Rare Eventstowardsdatascience.com - Ryan Louis Stevens I previously worked on designing some problem sets for a PhD class. One of the assignments dealt with a simple classification problem using data that …

Towards Data Scienceflipped into Machine LearningMachine Learning A Guide for Data Scientists (Concepts, Statistics, Prep & More)towardsdatascience.com - Aakash Sharma A Guide for Data Scientists (Concepts, Statistics, Machine Learning, A.I. & More) In this article, I will go over some conceptual data science …

Thong Tranflipped into Machine Learning & Computer Science&Data ScienceIcon version of the Flipboard logoData Science Convergence diagnostics for Markov chain simulation « Statistical Modeling, Causal Inference, and Social Sciencecolumbia.edu Pierre Jacob writes regarding convergence diagnostics for Markov chain simulation: I’ve implemented an example of TV upper bounds for (vanilla) HMC on …

Parenting National Parents Week Part 1 - toilet training, regression & more....newstalk.com - Ross Leahy Our Unscripted Friday Show focused on parenting issues for National Parents Week. Ciara was joined by Dr Anne Kehoe, Clinical Psychologist and member …

Towards Data Scienceflipped into Machine Learning Breaking Assumptionstowardsdatascience.com - Dan Grahn Have you seen Apple’s new Test the Impossible ad? I have to admit, I find the style and message a bit grating. Nevertheless, there is a useful message …

Towards Data Scienceflipped into Editors' PicksMachine Learning Don’t Sweat the Solver Stufftowardsdatascience.com - Jeff Hale Logistic regression is the bread-and-butter algorithm for machine learning classification. If you’re a practicing or aspiring data scientist, you’ll …

Towards Data Scienceflipped into Machine LearningMachine Learning Social Media Sentiment Analysis using Machine Learning : Part — IItowardsdatascience.com - Deepak Das Social Media Sentiment Analysis using Machine Learning : Part — II Hello everyone, so let’s start right where we left off in Part — I. In this post we …

jgruesliflipped into Data ScienceMachine Learning Adding Interpretability to Multiclass Text Classification modelstowardsdatascience.com - Rahul Agarwal ELI5: Add explainability but not at a loss to accuracy It is one of the basic tenets of learning for me where I try to distill any concept in a more …

Towards Data Scienceflipped into Machine LearningProbability Black-Box models are actually more explainable than a Logistic Regressiontowardsdatascience.com - Samuele Mazzanti Who works as a data scientist knows it better: one of the main clichés around Machine Learning is that you have to choose between: simple, accountable …

Towards Data Scienceflipped into Machine LearningAlgorithms Different forms of regularization and their effectstowardsdatascience.com - Naveen Mathew Nathan S. This is a follow-up to my previous amateurish and cryptic article — A short note on regularization. The article delivered what it promised, but it is …

Evangelos Avramakisflipped into DIGITAL CATALYSTSMachine Learning How is Machine Learning Different from Statistics and Why it Matterstowardsdatascience.com - Babar Bhatti The similarities and differences of Statistics and Machine Learning is a topic that generates plenty of discussion. Many quality articles and posts …

Towards Data Scienceflipped into Artificial IntelligenceMachine Learning How to Build Your Own Logistic Regression Model in Pythontowardsdatascience.com - Abhinav Sagar A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer. The name of this algorithm could be a little …

Michael Zauzigflipped into Machine Learning and The FutureIcon version of the Flipboard logoData Science All the names for hierarchical and multilevel modeling « Statistical Modeling, Causal Inference, and Social Sciencecolumbia.edu The title Data Analysis Using Regression and Multilevel/Hierarchical Models hints at the problem, which is that there are a lot of names for models …

mantu sinhaflipped into IOT-AI-MLImage Processing CNN vs fully-connected network for image processingtowardsdatascience.com - Naveen Mathew Nathan S. The objective of this article is to provide a theoretical perspective to understand why (single layer) CNNs work better than fully-connected networks …

Towards Data Scienceflipped into Machine LearningMachine Learning Machine Learning Project 17 — Compare Classification Algorithmstowardsdatascience.com - Omair Aasim In the past 7 projects, we implemented the same project using different classification algorithms namely — “Logistic Regression”, “KNN”, “SVM”, …

Towards Data Scienceflipped into Machine LearningData Science Maximum Likelihood Estimation VS Maximum A Posterioritowardsdatascience.com - Yang S Mathematics behind MLE and MAP, showing the connection and difference of these two methods Both Maximum Likelihood Estimation (MLE) and Maximum A …

Towards Data Scienceflipped into Editors' PicksData Science Why not MSE as a loss function for logistic regression? 🤔towardsdatascience.com - Rajesh Shreedhar Bhat In classification scenarios, we often use gradient-based techniques(Newton Raphson, gradient descent, etc ..) to find the optimal values for …

Andrew Bradyflipped into machine learning Python and RAlgorithms Building own Logistic Classifier in R [Logistic Trilogy, part 2]towardsdatascience.com - Soumalya Nandi If someone gets immense pleasure in developing own codes for data science projects or statistical projects then this is the right article for him/her. …

Towards Data Scienceflipped into Machine LearningBankruptcy Streamline Model Tuning on Bankruptcy Predictionstowardsdatascience.com - Lester Leong Hi everyone, today’s topic will be about streamlining your machine learning models with sklearn, xgboost, and the h2o package. In particular, we will …

Towards Data Scienceflipped into Machine LearningKannada Beautiful visual model interpretation of classification strategies- Kannada MNIST Digits…towardsdatascience.com - Mirza Rahim Baig Beautiful visual model interpretation of classification strategies— Kannada MNIST Digits Recognition The Kannada MNIST dataset is a great recent work …

Marcosflipped into Data ScienceCybersecurity Applying Data Science to Cybersecurity Network Attacks & Eventstowardsdatascience.com - Aakash Sharma The cyber world is such a vast concept to comprehend. At the time, I decided I wanted to get into cybersecurity during my undergrad in college. What …