Uday Kumar

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These 5 Courses (57.5 Hours!) Are Your Path to Expert-Level Python Programming

<b>The Complete Python Programming Boot Camp: Beginner to Advanced</b><p>Master Python One Step At a Time<p><b>Python for Programmers</b><p>Learn Python Quickly In This …

Python Programming

Google’s AutoML lets you train custom machine learning models without having to code

Google today announced the alpha launch of AutoML Vision, a new service that helps developers — including those with no machine learning (ML) expertise — build custom image recognition models. While Google plans to expand this custom ML model builder under the AutoML brand to other areas, the …

Sequence Models

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research.<br>It will be updated as the class …

How to Develop an N-gram Multichannel Convolutional Neural Network for Sentiment Analysis

A standard deep learning model for text classification and sentiment analysis uses a word embedding layer and one-dimensional convolutional neural …

How to Implement a Beam Search Decoder for Natural Language Processing

Natural language processing tasks, such as caption generation and machine translation, involve generating sequences of words.Models developed for …

Natural Language Processing

A Gentle Introduction to Neural Machine Translation

One of the earliest goals for computers was the automatic translation of text from one language to another.Automatic or machine translation is …

Malware Detection in Executables Using Neural Networks

The detection of malicious software (malware) is an increasingly important cyber security problem for all of society. Single incidences of malware …

Neural networks: The 1 minute guide

We want to build systems that can learn to be intelligent.<p>The greatest learning system we know about is the human brain. It’s made of billions of …

Applied Deep Learning for Text Classification - Examples from the HR Industry

Text Classification is a major part of our data processing stack. We have successfully managed to automate a large part of complex document classification processes with traditional linear classifiers, based on n-grams, bad of words and linguistic rules and extensive feature engineering. In this …

Machine Learning

Evolving Simple Organisms using a Genetic Algorithm and Deep Learning from Scratch with Python

<b>TL;DR</b> - Learn how to evolve a population of simple organisms each containing a unique neural network using a genetic algorithm.<p>Introduction<p>A few …

Algorithms

Today I Built a Neural Network During My Lunch Break with Keras

So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn’t believe that at all. So the next day I …

Artificial Intelligence

Language modeling using Recurrent Neural Networks Part - 1

This is a 3 part series where I will cover<p>Introduction to RNN and LSTM. (This post)<br>• Building a character by character language model using …

Introduction To Neural Networks Part 2 - A Worked Example

<i>This tutorial was originally posted here on Ben's blog, GormAnalysis.</i>The purpose of this article is to hold your hand through the process of …

Deep Learning

Detecting Diseases in Chest X-ray Using Deep Learning

Chest Xrays are used to diagnose multiple diseases. From pneumonia to lung nodules multiple diseases can be diagnosed using just this one modality …

11 most read Deep Learning Articles from Analytics Vidhya in 2017

We use cookies on Analytics Vidhya websites to deliver our services, analyze web traffic, and improve your experience on the site. By using Analytics …

Making Sense of Unstructured Data with Text Analytics

kuya_clay / PixabayIn case you hadn’t noticed, the amount of data in the world is increasing at an exponential rate. For example, every minute there …

DeepMind's AI experts have pledged to pass on their knowledge to students at UCL

Senior staff at DeepMind — based just a few minutes walk from the UCL campus in Bloomsbury — will aim to pass on some of their knowledge to students enrolled on UCL's machine learning master's programmes from January 2017.<p>The course, delivered as part of a module called "Advanced Topics in Machine …

Natural Language Processing and Machine Learning

The core of the modern, smart chatbot.<p>This article is the second part in a series about Chatbots and Machine Learning. Other articles that were …

What Are Chatbots and How Do They Work?

Messaging chatbots may help businesses improve customer service, sell more, and earn more profit, thanks to a familiar interface and increasing …

How to create your own chatbot?

Everyone around is talking about chatbots a lot. It seems like some kind of fever that doesn't want to calm down. Although, the chatbot thing isn't …

What is a Chatbot? An Introduction to the Latest Trend

Wow, I typed a lot!<p>Introducing the chatbot trend turned out to require quite a hefty piece of content.<p>Ready to start from the beginning? Here we …

Natural Language Processing: Turning Words Into Data

Natural Language Processing (NLP) has long been one of the holy grails of computer science. While we all know that computers are better than humans …

Natural Language Processing

Introduction to Natural Language Processing With Python

Sessions is temporarily moving to YouTube, check out all our new videos here.<p>Jessica Bowden speaking at Async in May, 2016<p>1583Views<p><b>Great talks, fired</b> …

Dive into Deep Learning with 15 free online courses

“Deep learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial …

Online Natural Language Processing Demos

This is a collection of online demos that illustrate various tasks in natural language processing. The first set, Subtasks of Natural Language …

11 Great Articles About Natural Language Processing (NLP)

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, …

5 Free Resources for Getting Started with Deep Learning for Natural Language Processing

<b>By Matthew Mayo, KDnuggets.</b><p>From Richard Socher's slides, below.<p>Interested in applying deep learning to natural language processing (NLP)? Don't know …

Deep Learning

Train Neural Machine Translation Models with Sockeye | Amazon Web Services

Have you ever wondered how you can use machine learning (ML) for translation? With our new framework, Sockeye, you can model machine translation (MT) …

Oxford Course on Deep Learning for Natural Language Processing

Deep Learning methods achieve state-of-the-art results on a suite of natural language processing problemsWhat makes this exciting is that single …