Subbu Jois

175 Flips | 6 Magazines | 89 Likes | 3 Following | 38 Followers | @subbujois | Biker, Blockchain, brewer

How to maximize the life of your tires

Did you know the average tire completes 800 rotations for every mile of travel? Multiply that by the amount of miles you drive every year and that rubber is spending a lot of time rolling on the pavement.<p>With all that wear going on, it's paramount to keep your tires in good shape. A few simple …

George Washington

Cohort — A New Professional Social Graph

“Professional? Social? Isn’t that what LinkedIn is for!” Nope.<p>This week marks 12 months since Alex, Brendan, Eoin and I started working on Cohort. We …

Why the next great SaaS company will look nothing like Salesforce

Aaref Hilaly Contributor<p>Aaref Hilaly is a partner at Sequoia Capital and a serial entrepreneur who previously founded CenterRun and Clearwell. He serves on the boards of Clari, Guardant Health, Skyhigh Networks and several other private and public companies.<p>For years, a truism in software investing …

I've built a quick tool based on this repo. Start running your Tensorflow project on AWS in <30seconds using Floyd. See www.floydhub.com. It's free to try out.

Happy to take feature requests/feedback and answer questions - mail me sai@floydhub.com.<p>Setting up a Deep Learning Machine from Scratch (Software)<p>A …

Linux

Deep learning: the future of recommendations

An informative talk about deep learning and its potential uses in recommender systems. Presented at the Budapest Startup Safary, 21 April, 2016.<p>The breakthroughs of the last decade in neural network research and the quick increasing of computational power resulted in the revival of deep neural …

A Short History Of Deep Learning -- Everyone Should Read

Deep learning is a topic that is making big waves at the moment. It is basically a branch of machine learning (another hot topic) that uses algorithms to e.g. recognize objects and understand human speech. Scientists have used deep learning algorithms with multiple processing layers (hence “deep”) …

Machine Learning

Defining Machine Learning, Predictive Analytics, and Data Science — Without the Mumbo Jumbo

If you walk into any conference room in the world, it is likely you will hear people talking about “opening the kimono” in a “play for transparency” …

Machine Learning

NoSQL Comparison Benchmarks

Benchmarking NoSQL Databases: Cassandra vs. MongoDB vs. HBase vs. Couchbase<p>Understanding the performance behavior of a NoSQL database like Apache …

Databases

Machine Learning Trick of the Day (5): Log Derivative Trick

Machine learning involves manipulating probabilities. These probabilities are most often represented as normalised-probabilities or as …

Machine Learning

Predictive modeling, supervised machine learning, and pattern classification

When I was working on my next pattern classification application, I realized that it might be worthwhile to take a step back and look at the big …

Machine Learning

Likelihood for Gaussian Processes

For those of you already well-versed with likelihood for Gaussian processes, it is recommended that you read our in depth post.<p>Companies that use …

Algorithms

Deep Machine Learning libraries and frameworks

At the end of 2015, all eyes were on the year’s accomplishments, as well as forecasting technology trends of 2016 and beyond. One particular field …

A 'Brief' History of Neural Nets and Deep Learning, Part 1

This is the first part of ‘A Brief History of Neural Nets and Deep Learning’. Part 2 is here, and parts 3 and 4 are here and here. In this part, we …

Deep Learning

What is Machine Intelligence vs. Machine Learning vs. Deep Learning vs. Artificial Intelligence (AI)?

We are frequently asked how we distinguish our technology from others. This task is made difficult by the fact that there is not an agreed …

Deep Learning

50+ Data Science and Machine Learning Cheat Sheets

<b>By Geethika Bhavya Peddibhotla, KDnuggets.</b><p>Cheatsheets on Python, R and Numpy, Scipy, Pandas<p>There are thousands of packages and hundreds of functions …

An overview of gradient descent optimization algorithms

Note: If you are looking for a review paper, this blog post is also available as an article on arXiv.<p>Update 15.06.2017: Added derivations of AdaMax …

Deep Learning

100 Data Science in R Interview Questions and Answers for 2018

<i>Latest Update made on March 21, 2018</i><p>In our previous post for 100 Data Science Interview Questions, we had listed all the general statistics, data, …

Bayesian Reasoning and Deep Learning

I gave a talk entitled 'Bayesian Reasoning and Deep Learning' recently. Here is the abstract and the slides for interest. Slides Bayesian Reasoning …

Machine Learning

The Data Science Workflow

When dealing with data, it helps to have a well defined workflow. Specifically, whether we want to perform an analysis with the sole intent of …

Deep Learning Libraries by Language

<b>Python</b><p>Theano is a python library for defining and evaluating mathematical expressions with numerical arrays. It makes it easy to write deep learning …

15 Books every Data Scientist Should Read

SwiftKey's latest keyboard is powered by a neural network

A new SwiftKey keyboard hopes to serve you better typing suggestions by utilizing a miniaturized neural network. SwiftKey Neural does away with the company's tried-and-tested prediction engine in favor of a method that mimics the way the brain processes information. It's a model that's typically …

The Big Deal With Deep Learning

A colleague recently asked me if deep learning lives up to the hype. Is it really revolutionary or just the same old thing dressed up with a new …

The wonderful world of recommender systems

I recently gave a talk about recommender systems at the Data Science Sydney meetup (the slides are available here). This post roughly follows the …

Data Science

Statistical tools for data analysis and visualization

The divisive hierarchical clustering, also known as DIANA (DIvisive ANAlysis) is the inverse of agglomerative clustering (Chapter …

No cost training to becoming a data scientist

Bandcamp recommendation and discovery algorithms

This is the third part of a series of posts on my Bandcamp recommendations (BCRecommender) project.<br>Check out the first part for the general …

Recommendation Systems in R

(This article was first published on <b>R - Data Science Heroes Blog</b>, and kindly contributed to R-bloggers)<p>These systems are used in cross-selling …

Nodes and Edges: Visualizing Network Data 101

Visualizations of your social data can be extremely helpful in developing marketing strategies, but how can you go about creating these graphs?

New – Store and Process Graph Data using the DynamoDB Storage Backend for Titan | Amazon Web Services

Graph databases elegantly and efficiently represent entities (generally known as vertices or nodes) and relationships (edges) that connect them. …