Vimalanandan S

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IOTA - no longer a tangled mess.

IOTA has made a name for itself in the cryptosphere by jumping dramatically into the top ten cryptocurrencies in within less than a week. The little …

Assessing Deep-Learning Development Frameworks

Premise<p>Deep learning developers are gravitating toward the leading modeling frameworks, most notably, TensorFlow, MXNet, and CNTK. In addition to …

Google brings on-device machine learning to mobile with TensorFlow Lite

Google’s recent preview release of its open-source TensorFlow Lite software for machine learning developers signifies an exciting shift in the field of AI. The company’s dedication to developing AI capable of running algorithms on a mobile device — without connecting to the cloud — is laying the …

Blockchain, IoT, Artificial Intelligence Poised to Shake Up Healthcare

October 20, 2016 - Only a few short years ago, healthcare organizations were wondering what exactly “big data” was and why they had to care about …

AI could become your personal shopper

More retailers are turning to artificial intelligence to help shoppers find clothes that fit their bodies, budgets, and personal styles. As one of today’s hottest technology trends, AI translates vast volumes of retail data into rich, actionable insights so executives can make smart decisions …

Five Skills Self-Driving Companies Need

Building autonomous vehicles is a challenging task that combines a wide range of engineering and computer science disciplines. In order to make …

CS231n Convolutional Neural Networks for Visual Recognition

Spring 2018 Assignments<p>Module 0: Preparation<p>Module 1: Neural Networks<p>L1/L2 distances, hyperparameter search, cross-validation<p>parameteric approach, …

Deep Learning

Stanford University: Tensorflow for Deep Learning Research

Event<p>Date<p>Description<p>Course Materials<p>Jan 10<br>Week 1<p>No class<p>Set up Tensorflow<br>Suggested Readings:<br>Nothing in particular, but you're welcome to read …

2017 predictions for Big Data, IoT, and AI

There’s no doubt that there are currently three big trends in business models: Internet of Things (IoT), Big Data and artificial intelligence (AI). From the still-fragmented internet of things to rapid fluctuations in computing paradigms to how AI is reshaping how we live, everybody’s talking about …

Artificial Intelligence

10-601b Fall 2016

Date<p>Lecture<p>Readings<p>Homework Released<p>Homework Due<p>Mon, 29-Aug<p>1. Course Overview & Decision Tree Learning [Slides], [More]<p>Wed, 31-Aug<p>2. Decision Tree …

Machine Learning

20 Life-Changing Books You Must Add to Your List for 2017

Every book on this list has the power to change your life.<p>The magical thing about books is that they have the power to change your life. It's a big reason why reading is an activity shared by the most successful people on earth.<p>The right book at the right time is priceless. With the investment of a …

ŷhat | Predicting customer churn with scikit-learn

Customer Churn<p>"Churn Rate" is a business term describing the rate at which customers leave or cease paying for a product or service. It's a critical …

Microservices: Rethinking the Way We Treat Data and Services

If you were to stumble upon the whole microservices thing, without any prior context, you’d be forgiven for thinking it a little strange. Taking an …

Naive Bayes and Text Classification

Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes’ probability theorem, are known for creating simple yet well …

Data Science

Machine Learning for Developers by Mike de Waard

Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves …

Machine Learning

Choosing a Machine Learning Classifier

How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best …

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