Harsh J

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Learn the machine!

<i>This post doesn't assume or require any knowledge of machine learning algorithms. It might be helpful to people who not always have time to implement</i> …

Understanding Convolutional Neural Networks for NLP

When we hear about Convolutional Neural Network (CNNs), we typically think of Computer Vision. CNNs were responsible for major breakthroughs in Image …

Deep Learning

Best Deep Learning Resources

This is a collection of the best resources for getting into Deep Learning. If you are a novice Deep Learning enthusiast — I am sure it will be very …

Introducing: Blocks and Fuel – Frameworks for Deep Learning in Python

<b>By Jim O'Donoghue, @j_odonoghue.</b><p>Before introducing Blocks, a description of Theano will provide an understanding of the functionality being extended. …

A Tour of Machine Learning Algorithms

The universe really is weird, and a landmark quantum experiment proves it

Only last year the world of physics celebrated the 50th anniversary of Bell's theorem, a mathematical proof that certain predictions of quantum …

Data Science Interview Questions

Source: Data Science: An Introduction<p>Our IT4BI Master studies finished, and the next logical step after graduation is finding a job. I was interested …

Data Science

How Machines Learn (And You Win)

“Machine learning.” You’ve heard the term, and you probably nod in agreement when someone tells you how important it is. But secretly you may not be sure what it is or how it works. Ask your data scientists to explain, and you may get lost in a sea of specialist talk about forks, leaf nodes, split …

The Best Advice From Quora on ‘How to Learn Machine Learning’

<i>How do I learn machine learning?</i><p>Straightforward question. Not-so-straightforward answer.<p>There are obviously a number of ways to go about learning …

Top 5 arXiv Deep Learning Papers, Explained

<b>By Matthew Mayo, KDnuggets.</b><p><b>3. Towards Neural Network-based Reasoning</b> <i><br>Authors</i>: Baolin Peng, Zhengdong Lu, Hang Li, Kam-Fai Wong <i><br>Date posted to arXiv</i>: 22 …

Deep Learning

A brief history of word embeddings (and some clarifications)

One of the strongest trends in Natural Language Processing (NLP) at the moment is the use of <b>word embeddings</b>, which are vectors whose relative …

Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN with Python, Numpy and Theano

This the second part of the Recurrent Neural Network Tutorial. The first part is here. Code to follow along is on Github. In this part we will …

A Beginner’s Guide to Deep Neural Networks

Posted by Natalie Hammel and Lorraine Yurshansky, creators of Nat & Lo’s 20% Project<br>Last year, we (a couple of people who knew nothing about how …

Machine Learning

Your brain isn't a computer — it's a quantum field

The irrationality of how we think has long plagued psychology. When someone asks us how we are, we usually respond with "fine" or "good." But if …

Stephen Hawking

A Q A with Pedro Domingos: Author of ‘The Master Algorithm’

A Q & A with Pedro Domingos: Author of ‘The Master Algorithm’<p>Pedro Domingos, University of Washington professor of computer science and engineering, …

Android design guidelines: what they are and why you should follow them

Stock Android has gone through a lot of aesthetic changes throughout the years, from random placements and colors to a whole design language that has a great deal of continuity. To keep this continuity, Google has a set of developer guidelines to make sure everything looks up to par.<p>What are the …

How NoSQL Fundamentally Changed Machine Learning

<i>Guest blog post by William Vorhies</i><p><b>Summary:</b> <i>In just the six or seven short years since the first commercial implementation of a Hadoop NoSQL database</i> …

15 Books every Data Scientist Should Read

Core algorithms deployed

To demonstrate the importance of algorithms (e.g. to students and professors who don't do theory or are even from entirely different fields) it is …

The search for a thinking machine

<b>By 2050 some experts believe that machines will have reached human level intelligence.</b><p>Thanks, in part, to a new era of machine learning, computer are already starting to assimilate information from raw data in the same way as the human infant learns from the world around her.<p>It means we are getting …

Are you trying to acquire Machine Learning Skills?

<b>By Kader Muhideen V</b>, (Tata Consultancy Services)<p>I would like to share my learning experience on Machine Learning for the past few months :<p>It was end …

How close is machine learning to artificial intelligence?

How close is machine learning to artificial intelligence? ‘Talking Machines’ provides clear answers<p>'Talking Machines' is a biweekly podcast analyzing …

Getting started with open source machine learning

Machine learning is quickly becoming a critical skill for developers to enhance their applications and their careers, better understand data, and to …

Exploratory Data Analysis with R

Bio<p>Matthew Renze is a data science consultant with over 16 years of professional experience building large-scale data-driven desktop, server, and …

Learning spoken language

Every language has its own collection of phonemes, or the basic phonetic units from which spoken words are composed. Depending on how you count, …

Straws in the LHC wind: Lepton universality & an update on "that bump"

As new data continue to be collected at CERN, another look at some of the straws in the wind, otherwise known as “hints of new physics”, that might develop into exciting breakthroughs<p>A couple of months ago I wrote about an anomalous bump in data from the Large Hadron Collider at CERN. This is one …

Artificial Intelligence dictionary: How to speak AI

By Felicity Morse <i>Newsbeat social media producer</i><p>Artificial Intelligence can make you feel stupid.<p>Often the words used to discuss it are miles away from the ones we use every day. It can feel like an exclusive club.<p>This AI alphabet will bring you closer to understanding the language used to talk …

The 11 Most Beautiful Mathematical Equations

1 of 13<p>Introduction<p>Mathematical equations aren't just useful — many are quite beautiful. And many scientists admit they are often fond of particular …

Machine Learning Trick of the Day (3): Hutchinson's Trick

Hutchinson's estimator is a simple way to obtain a stochastic estimate of the trace of a matrix. This is a simple trick that uses randomisation to …