What Does Any of This Have To Do with Physics? - Issue 56: Perspective
Nautilus is a different kind of science magazine. Our stories take you into the depths of science and spotlight its ripples in our lives and cultures.
The Encyclopedia of the Missing
She keeps watch over one of the largest databases of missing persons in the country. For Meaghan Good, the disappeared are still out here, you just have to know where to look.
One model to learn them all
The 3 Tricks That Made AlphaGo Zero Work
There were many advances in Deep Learning and AI in 2017, but few generated as much publicity and interest as DeepMind’s AlphaGo Zero. This…
When personalities go from bad to good
Brain injury does not always result in an undesirable personality change, finds Christian Jarrett.
What are some things soldiers aren’t allowed to do?
James Palmer's answer: What are some things soldiers aren’t allowed to do? This question allows me to post one of my favorite things from the Army: 213 Things Skippy is not Allowed to do in the Army. As the story goes, a soldier, nicknamed “Skippy” recorded a list of things his…
Twilight Of The Yellowstone Winterkeepers
With 50 years of solitude, Steven Fuller is a living legend in Yellowstone and an endangered 21st-century icon
Getting Started on Heroku with Python | Heroku Dev Center
A step-by-step guide for deploying your first Python app and mastering the basics of Heroku
How to set smart goals: What science says about getting what you want
A lot of people set goals. A lot of people fail to achieve those goals. That's a shame. Here's what science and research reveal about how to set good goals.
To Find Meaning in Your Work, Change How You Think About It
For most people, purpose at work is built not found. Working with a sense of purpose day-in and day-out is an act of will that takes thoughtfulness and practice. How do you consciously endow your work with purpose? First, connect work to service. Ask yourself, who do I serve?…
How Spending $20,000 on a Domain Name Uncovered an Incredible Business Oppo
We explain how we came to spend $20,000 on this domain, and the incredible business opportunities that exist, waiting for someone to bring them to life.
BrandBucket - The Largest Brandable Business Names Marketplace
The original brandable name marketplace with over 100,000 expert-curated business names to choose from. Get the matching .com and a logo, and free branding advice from our team.
Best Social Media Image Size Chart 2018
It's impossible to remember the required size of images uploaded to Facebook, Twitter and other social media sites. To end your confusion, we offer the Best Social Media Size Chart. Continue reading
Approximate Nearest Neighbours for Recommender Systems
This post is about evaluating a couple of different approximate nearest neighbours libraries to speed up making recommendations made by matrix factorization models. In particular, the libraries I'm looking at are Annoy, NMSLib and Faiss.
Word Tensors
Counting and tensor decompositions are elegant and straightforward techniques. But these methods are grossly underepresented in business contexts. In this p...
Transfer Learning – Machine Learning’s Next Frontier
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.
Data Wrangling Cheatsheet
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.
One-page R: a survival guide to data science with R - DataScienceCentral.com
This article comes from Togaware. A Survival Guide to Data Science with R These draft chapters weave together a collection of tools for the data scientist—tools that are all part of the R Statistical Software Suite. Each chapter is a collection of one (or more) pages that cover…
Hybrid content-based and collaborative filtering recommendations with {ordi
I will use {ordinal} clm() (and other cool R packages such as {text2vec} as well) here to develop a hybrid content-based, collaborative filtering, and (obivously) model-based approach to solve the recommendation problem on the MovieLens 100K dataset in R. All R code used in this…
keon/algorithms: Minimal examples of data structures and algorithms in Python
Minimal examples of data structures and algorithms in Python - keon/algorithms
Intro To Probabilistic Data Structures
Oftentimes while analyzing big data we have a need to make checks on pieces of data like number of items
The what and how of Web Push
Native apps have had the privilege of being able to send engaging and timely content to their users for a while. The web is closely following.
Numenta Anomaly Benchmark: A Benchmark for Streaming Anomaly Detection
Numenta created the open source Numenta Anomaly Benchmark (NAB) to test and their own anomaly detection algorithms. Learn more about how Numenta and Domino worked together to develop the NAB.
How SSH got port number 22
The SSH port is 22. This is the story of how it got that port number. And practical configuration instructions.
Deep-Learning-Papers-Reading-Roadmap/README.md at master · songrotek/Deep-L
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! - floodsung/Deep-Learning-Papers-Reading-Roadmap
Get the best from ggplotly
[…]
Topic Modeling with LDA Introduction
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.
What is the tidyverse? · R Views
Last week, I had the opportunity to talk to a group of Master’s level Statistics and Business Analytics students at Cal State East Bay about R and Data Science. Many in my audience were adult students coming back to school with job experience writing code in Java, Python and…
Deep Reinforcement Learning Demystified (Episode 0)
I recently became interested in learning more about deep reinforcement learning. Recently, big news headlines were made as deep…
SQLite small blob storage: 35% Faster Than the Filesystem
Intuitive Understanding of Word Embeddings: Count Vectors to Word2Vec
Word embeddings are techniques used in natural language processing. This includes tools & techniques like word2vec, TD-IDF, count vectors, etc. Explore Now!
Word2Vec (skip-gram model): PART 1 - Intuition.
Most of the content here is from Chris’s blog. I have condensed it and made minor adaptations.
Operations Research with R
Stefan Feuerriegel This blog entry concerns our course on “Operations Reserch with R” that we teach as part of our study program. We hope that the materials are of value to lectures and everyone else working in the field of numerical optimiatzion. Course outline The course…
Top 50 ggplot2 Visualizations - The Master List (With Full R Code)
R Language Tutorials for Advanced Statistics
Boost.Hana: User Manual
Assessing Data with Item Response Theory
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.
Train your deep model faster and sharper — two novel techniques
How to Handle Imbalanced Classes in Machine Learning
Imbalanced classes put "accuracy" out of business. This is a surprisingly common problem in machine learning, and this guide shows you how to handle it.
Using word embedding to enable semantic queries on relational databases
Counting Bloom Filter in C – Tony Allen – Medium
I recently ran across this bloom filter post by Michael Schmatz and it inspired me to write about a neat variation on the bloom filter that…
Reducing dimensionality from dimensionality reduction techniques
In this post I will do my best to demystify three dimensionality reduction techniques; PCA, t-SNE and Auto Encoders. My main motivation for…
Kimbra Climbs To The 'Top Of The World' In New Single : NPR
With angry synths, religious imagery and a symbolic music video, the New Zealand singer provides the empowering song we need at this time of year.
arbox/data-science-with-ruby: Practical Data Science with Ruby based tools.
Practical Data Science with Ruby based tools.
6 Deep Learning Techniques They Never Taught You In School
They can really help you
A practical explanation of a Naive Bayes classifier
Medallia's text analytics software tool provides actionable insights via customer and employee experience sentiment data analysis from reviews & comments.
https://blog.openai.com/openai-baselines-ppo/
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…