nick francisAlgorithms One-Class Classification Algorithms for Imbalanced Datasets machinelearningmastery.com - Jason Brownlee Outliers or anomalies are rare examples that do not fit in with the rest of the data. Identifying outliers in data is referred to as outlier or …

nick francisMathematics Mathematicians Prove Universal Law of Turbulence Quanta Magazine - Kevin Hartnett By exploiting randomness, three mathematicians have proved an elegant law that underlies the chaotic motion of turbulent systems. Picture a calm …

nick francisMachine Learning Graphs and Network Algorithms for Everyone oreilly.com - Bruno Gonçalves Trees, graphs and networks are fundamental data structures that underlie much of the recent developments in data science and computer science …

nick francisAlgorithms A Bayesian machine scientist to aid in the solution of challenging scientific problems sciencemag.org Closed-form, interpretable mathematical models have been instrumental for advancing our understanding of the world; with the data revolution, we may …

nick francisUniverse The Universe Really Is Fine-Tuned, And Our Existence Is The Proof Forbes - Ethan SiegelWhen you take stock of what's in the Universe on the largest scales, only one force matters: gravitation. While the nuclear and electromagnetic forces that exist between particles are many, many orders

nick francisIcon version of the Flipboard logo Edge: THE FATHER OF LONG TAILS — Interview with Benoît Mandelbrot by Hans Ulrich Obrist edge.org OBRIST: I wanted to ask you when your interest in science actually started, if one can localise the beginnings. MANDELBROT:I had the fortune and the …

nick francis A Gentle Introduction to Model Selection for Machine Learning machinelearningmastery.com - Jason Brownlee Given easy-to-use machine learning libraries like scikit-learn and Keras, it is straightforward to fit many different machine learning models on a …

nick francisTechnology Former Go champion beaten by DeepMind retires after declaring AI invincible The Verge - James VincentThe South Korean Go champion Lee Se-dol has retired from professional play, telling Yonhap news agency that his decision was motivated by the ascendancy of AI. “With the debut of AI in Go games, I’ve that

nick francis How to Choose a Feature Selection Method For Machine Learning machinelearningmastery.com - Jason Brownlee Feature selection is the process of reducing the number of input variables when developing a predictive model. It is desirable to reduce the number of …

nick francis No, Thermodynamics Does Not Explain Our Perceived Arrow Of Time Forbes - Ethan SiegelOne of the enormous conceptual ideas that came along with Einstein's theory of relativity was the surprise that time itself, long considered fundamental and universal, is actually relative. Different so

nick francis Why are humans so bad at predicting the future? Quartz - Alexandra OssolaIf you have a few thousand dollars to spare and tire of investing in index funds, you might try something a bit more speculative: the futures market. Here, investors can use their money to buy a commodity

nick francisComputer Hacking How To: Find Passwords in Exposed Log Files with Google Dorks wonderhowto.com - Kody You may not have thought of dorks as powerful, but with the right dorks, you can hack devices just by Googling the password to log in. Because Google …

nick francisData Science A Gentle Introduction to Cross-Entropy for Machine Learning machinelearningmastery.com - Jason Brownlee Tweet Share ShareCross-entropy is commonly used in machine learning as a loss function.Cross-entropy is a measure from the field of information …

nick francisMobile Technology How to delete 99.9%* of your online footprint creativebloq.com - Dom Carter Creatives from all walks of life have become increasingly reliant on the internet to get their work seen. You might share your designs to an audience …

nick francis How Randomness Can Arise From Determinism Quanta Magazine - Pradeep Mutalik Playing with a simple bean machine illustrates how deterministic laws can produce probabilistic, random-seeming behavior. Is nature inherently random? …

nick francis A Gentle Introduction to Information Entropy machinelearningmastery.com - Jason Brownlee Tweet Share ShareInformation theory is a subfield of mathematics concerned with transmitting data across a noisy channel.A cornerstone of information …

nick francis Deep learning for time series data oreilly.com Arun Kejariwal (Independent) and Ira Cohen (Anodot) share a novel two-step approach for building more reliable prediction models by integrating …

nick francisData Science How to Implement Bayesian Optimization from Scratch in Python machinelearningmastery.com - Jason Brownlee Tweet Share ShareIn this tutorial, you will discover how to implement the Bayesian Optimization algorithm for complex optimization problems.Global …

nick francis Intro to Bayesian Statistics towardsdatascience.com - Pranav Prathvikumar Welcome to a place where words matter. On Medium, smart voices and original ideas take center stage - with no ads in sight. Watch Follow all the …

nick francis Asthma 3-in-1 Therapy May Improve Lung Function, Study Shows The New York Times - Knvul SheikhMany people with asthma use inhalers to control the chronic inflammation in their lungs. But for those with more severe forms of the disease, the standard inhaled medication may not be enough to keep wheezing,

nick francis Introduction to Principal Component Analysis (PCA) — with Python code towardsdatascience.com - Dhruvil Karani In Machine Learning, we need features for the algorithm to figure out patterns that help differentiate classes of data. More the number of features, …

nick francis Non-linear regression: basis expansion, polynomials & splines towardsdatascience.com - Michał Oleszak Popular linear models for and express the expected target as a linear function of the features. This approximation is a convenient and sometimes a …

nick francis Feature Engineering techniques in Python towardsdatascience.com - Anis Ayari When performing features engineering, in order to have a general model, it is always recommended to work on the whole DataFrame, if you have two 2 …

nick francisPython Programming How to send emails with just a few lines of code with Yagmail in Python Medium - DavidMM On our last lesson, How to send beautiful emails with attachments using only Python, we built a script to send an HTML-based email with …

nick francis How graph algorithms improve machine learning oreilly.com - Mark Needham, Amy Hodler A look at why graphs improve predictions and how to create a workflow to use them with existing machine learning tasks.We’re passionate about the …

nick francisData Science Estimating the prevalence of rare events — theory and practice unofficialgoogledatascience.com - Amir Najmi by YI LIU Importance sampling is used to improve precision in estimating the prevalence of some rare event in a population. In this post, we explain …

nick francis Journey into Data Mining towardsdatascience.com - Tarun Gupta Given the amount of data increasing every passing second, people are more and more gravitating towards Data Science and Machine Learning. To be good at …

nick francisAlgorithms Biological learning curves outperform existing ones in artificial inte nature.com - Herut Uzan, Shira Sardi, Amir Goldental, Roni Vardi, Ido Kanter Recently, deep learning algorithms have outperformed human experts in various tasks across several domains; however, their characteristics are …

nick francis The 5 Feature Selection Algorithms every Data Scientist should know mlwhiz.com Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis, so I thought of listing some of the most …