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Ten Things A Serious JavaScript Developer Should Learn
There’s been an interesting Reddit thread circling my corner of the internet for the last week or so. It started with a question: I’m inviting pure opinion here, but what’s your list of ten things that everyone looking for a good javascript role should know and understand…
https://news.21.co/quantifying-decentralization-e39db233c28e
machine learning benchmarks - Google Search
[D] A Comparison of Six Methods for Missing Data Imputation
2.9M subscribers in the MachineLearning community. Beginners -> /r/mlquestions , AGI -> /r/singularity, career advices -> /r/cscareerquestions…
Metaprogramming: Writing in Ruby with... Ruby | Toptal
Ruby metaprogramming, one of the most interesting aspects of Ruby, enables the programming language to achieve an extreme level of expressiveness. It is because of this very feature that many gems, such as RSpec and ActiveRecord, can work the way they do. In this article, Toptal…
Mental Models I Find Repeatedly Useful — Medium
2019 UPDATE: Since this post came out, I co-authored a book about it called Super Thinking: The Big Book of Mental Models.
The Beauty of Bresenham's Algorithm
Batching – A powerful way to solve N 1 queries every Rubyist should know
In this post I’m going to tell you about batching as a technique to help avoid N+1 queries, existing battle-tested tools like Haskell Haxl…
Understanding a fundamental Ruby abstraction for concurrency | via @codeshi
In this post
Martinosis Blog
Removing Outliers Using Standard Deviation in Python
Standard Deviation is one of the most underrated statistical tools out there. It’s an extremely useful metric that most people know how to calculate but very few know how to use effectively.
An Intuitive Guide to Deep Network Architectures
How and why do different Deep Learning models work? We provide an intuitive explanation for 3 very popular DL models: Resnet, Inception, and Xception.
Support Vector Machine (SVM) Tutorial: Learning SVMs From Examples
In this post, we will try to gain a high-level understanding of how SVMs work. I’ll focus on developing intuition rather than rigor. What that essentially means is we will skip as much of the math as possible and develop a strong intuition of the working principle.
An Introduction to the Fast Fourier Transform
This article will review the basics of the decimation-in-time FFT algorithms.
Gentle Introduction to Generative Long Short-Term Memory Networks - MachineLearningMastery.com
The Long Short-Term Memory recurrent neural network was developed for sequence prediction. In addition to sequence prediction problems. LSTMs can also be used as a generative model In this post, you will discover how LSTMs can be used as generative models. After completing this…
lect04_LEF.pdf
Layered Data Visualizations Using R, Plotly, and Displayr
If you have tried to communicate research results and data visualizations using R, there is a good chance you will have come across one of its great limitations. R is painful when you need to...
React Crash Course for Beginners, Part 1
In this tutorial series we'll dive right into using React as we build a fully working app to display a gallery of movies. Learning how to build an app from scratch is a great opportunity to...
An introduction to Vue.js - Chapter 1 - Basic Setup
This is a simple introduction to Vue.js, starting with a simple setup
An introduction to Vue.js - Chapter 2 - Components (Part I)
This is a simple introduction to Vue.js, this time with simple components
Numba: High-Performance Python with CUDA Acceleration
Numba is an open-source Python compiler from Anaconda that can compile Python code for high-performance execution on CUDA-capable GPUs or multicore CPUs.
Parallel processing with Unix tools
Tools for multi-processing on unix
Using Google Analytics with Angular
Marketing Multi-Channel Attribution model based on Sales Funnel with R
We will review another fascinating approach that marries heuristic and probabilistic methods. We will link marketing channels with a probability of a customer passing through each step of a Sales Funnel
Understanding Args and Kwargs in Python
In this tutorial, I will be focusing on arguments (*args) and keyword arguments (*kwargs) in Python. I will teach you what args and kwargs are and, most importantly, how to use them—that is...
Seven Things You Might Not Know About Numba | Parallel Forall
1.3M subscribers in the Python community. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta…
Understanding Machine Learning Algorithms
Machine learning algorithms aren’t difficult to grasp if you understand the basic concepts. Here, a SAS data scientist describes the foundations for some of today’s popular algorithms.
Your Guide to Master Hypothesis Testing in Statistics - DataScienceCentral.com
This article was written by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience. Introduction – the difference in mindset I started my career as a MIS professional and then made my way into Business Intelligence (BI) followed by Business…
vestuto/reusable-python: A tutorial on organizing python code into reusable
A tutorial on organizing python code into reusable units, building packages, and using conda. - vestuto/reusable-python
Image Convolution in R using Magick
Release 1.4 of the magick package introduces a new feature called image convolution that was requested by Thomas L. Pedersen. In this post we explain what this is all about. Kernel Matrix The new image_convolve() function applies a kernel over the image. Kernel convolution means…
PyTorch
Run PyTorch locally or get started quickly with one of the supported cloud platforms
Handling ‘Happy’ vs ‘Not Happy’: Better sentiment analysis with sentimentr
Sentiment Analysis is one of the most obvious things Data Analysts with unlabelled Text data (with no score or no rating) end up doing in an attempt to extract some insights out of it and the same Sentiment analysis is also one of the potential research areas for any NLP…
10 Useful Git Tips
In this tutorial we share with you a collection of tips that will help you manage your git repositories.
Image Processing and Manipulation with magick in R
‘ImageMagick’ is one of the famous open source libraries available for editing and manipulating Images of different types (Raster & Vector Images). magick is an R-package binding to ‘ImageMagick’ for Advanced Image-Processing in R, authored by Jeroen Ooms. magick supports many…
AB - Introduction to Gaussian Processes - Part I
Alex Bridgland blog/posts.
When to Track on the Client vs. Server
When deciding whether to track users on the server or on the client, there are many gotchas and factors to consider. Here is a short guide with pros and cons of each.
Top-100-Data-science-interview-questions
Data science, also known as data-driven decision, is an interdisciplinery field about scientific methods, process and systems to extract knowledge from data in various forms, and take descision based on this knowledge. A data scientist should not only be evaluated only on…
The Generalized Specialist: How Shakespeare, Da Vinci, and Kepler Excelled
Should we generalize or specialize? This article explores how Shakespeare and Da Vinci excelled by branching out from their core competencies.
After Six Decades in the Vault, 'Ella at Zardi's' Brings New Shine to Ella
Ella Fitzgerald was a big star on the cusp of something bigger when she began an engagement at Zardi’s Jazzland, in the heart of Hollywood, during the…
A 2017 Latin Grammy Preview From 'Alt.Latino'
A look ahead at the 18th annual Latin Grammy Awards.
Visualizing classifier thresholds | R-bloggers
Lately I’ve been thinking a lot about the connection between prediction models and the decisions that they influence. There is a lot of theory around this, but communicating how the various pieces all fit together with the folks who will use and be impacted by these decisions…
How to plot basic maps with ggmap
A tutorial for using ggmap to plot basic maps in R, by using images from Google Maps as a ggplot layer.
Data Visualization – Part 2
Stay up-to-date on the latest data science and AI news in the worlds of artificial intelligence, machine learning, deep learning, implementation, and more.
The pains of growing a platform - Inside Intercom
Hundreds of startups are pitching themselves as "platforms". While platforms make compelling businesses, they're nearly impossible to create from scratch.
Arbitrary Data Transforms Using cdata
We have been writing a lot on higher-order data transforms lately: Coordinatized Data: A Fluid Data Specification Data Wrangling at Scale Fluid Data Big Data Transforms. What I want to do now is "write a bit more, so I finally feel I have been concise." The cdata R package…
Tips for A/B Testing with R
Which layout of an advertisement leads to more clicks? Would a different color or position of the purchase button lead to a higher conversion rate? Does a special offer really attract more customers – and which of two phrasings would be better? For a long time, people have…
Why you should read Nina Zumel’s 3 part series on principal components anal
Short form: Win-Vector LLC’s Dr. Nina Zumel has a three part series on Principal Components Regression that we think is well worth your time. Part 1: the proper preparation of data (including…
https://betterexplained.com/articles/colorized-math-equations/
Doctors: Christmas in the I.C.U.
There’s an illusion that if you want something enough, even something as fantastical as avoiding death, you might just get it.