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A Guide to Sequence Prediction using Compact Prediction Tree (with codes in Python)
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Deep Learning Python

Introduction Sequence prediction is one of the hottest application of Deep Learning these days. From building recommendation systems to speech recognition and natural language …

Winning Solutions & Codes from AV’s Signature Hackathon – Lord of the Machines
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Machine Learning Python

Introduction Lord of the Machines, Analytics Vidhya’s recently concluded signature hackathon, was one of the most intriguing and challenging competitions  we have hosted. It …

A Comprehensive Guide to Understand and Implement Text Classification in Python
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NLP Python

Introduction One of the widely used natural language processing task in different business problems is “Text Classification”. The goal of text classification is to …

AVBytes: AI & ML Developments this week – Pandas to end Python 2 Support, Intel’s Framework-Neutral Library, Google’s Cancer Detection Algo, etc.
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Analytics Vidhya Data Science Deep Learning Machine Learning

Portability of code and environment is one of the challenge every data scientist faces. The code can be framework dependent or it can be …

5 years of building Analytics Vidhya – our journey and learnings
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Analytics Vidhya

Here is a bit of wisdom from Elon Musk: When something is important enough, you do it even if the odds are not in …

An Overview of Regularization Techniques in Deep Learning (with Python code)
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Deep Learning Python

Introduction One of the most common problem data science professionals face is to avoid overfitting. Have you come across a situation where your model …

An Introduction to Graph Theory and Network Analysis (with Python codes)
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Data Science Python

Introduction “A picture speaks a thousand words” is one of the most commonly used phrases. But a graph speaks so much more than that. …

A Must-Read Introduction to Sequence Modelling (with use cases)
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Data Science Deep Learning Machine Learning NLP Sound Processing

Introduction Artificial Neural Networks (ANN) were supposed to replicate the architecture of the human brain, yet till about a decade ago, the only common …

AVBytes: AI & ML Developments this week – Stanford’s NLP Course Projects, R Package for Anomaly Detection, Create Deep Learning Dataset, etc.
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Analytics Vidhya Data Science Deep Learning Machine Learning

Developments in AI & ML are happening at break neck speed. Hardly a day goes without hearing about a new development in these field. …

Essentials of Deep Learning: Getting to know CapsuleNets (with Python codes)
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Deep Learning Python

Introduction Neural networks have been around since the last century but in the last decade, they have reshaped how we see the world. From …

Top 7 Data Science & Machine Learning GitHub Repositories in March 2018
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Data Science Deep Learning Machine Learning Python

Introduction I live GitHub! Not only can you follow the work happening in different domains, but you can also collaborate on multiple open source …

Replicating Human Memory Structures in Neural Networks to Create Precise NLU algorithms
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Business Analytics Deep Learning NLP

Introduction Machine learning and Artificial Intelligence developments are happening at breakneck speed! At such pace, you need to understand the developments at multiple levels …

AVBytes: AI & ML Developments this week – Comet.ml for ML Models, TensorFlow.js, a Python ANN Visualizer, etc.
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Analytics Vidhya Data Science Deep Learning Machine Learning

We continue to bring you the biggest and most important developments in the ML world on AVBytes. We keep you updated so you can modify …

Highlights of TensorFlow Developer Summit 2018
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Data Science Deep Learning Machine Learning Python

Introduction TensorFlow is one of the most popular open source libraries in the Machine Learning and Deep Learning community. We see breakthroughs in diverse …

Automatic Image Captioning using Deep Learning (CNN and LSTM) in PyTorch
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Deep Learning Python

Introduction Deep Learning is a very rampant field right now – with so many applications coming out day by day. And the best way …

25 Open Datasets for Deep Learning Every Data Scientist Must Work With
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Deep Learning

Introduction The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from …

AVBytes: AI & ML Developments this week – IBM’s Library 46 Times Faster than TensorFlow, Baidu’s Massive Self-Driving Dataset, the Technology behind AWS SageMaker, etc.
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Analytics Vidhya Data Science Deep Learning Machine Learning

In recent times, one of the more popular themes in the machine learning world has been regarding computational power. As the amount of data …

Introduction to k-Nearest Neighbors: Simplified (with implementation in Python)
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Big data Business Analytics Machine Learning Python

Note: This article was originally published on Oct 10, 2014 and updated on Mar 27th, 2018 Introduction In four years of my career into …

Essentials of Deep Learning: Visualizing Convolutional Neural Networks in Python
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Deep Learning Python

Introduction One of the most debated topics in deep learning is how to interpret and understand a trained model – particularly in the context …

Introduction to Regression Splines (with Python codes)
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Linear Regression Machine Learning Python

Introduction As a beginner in the world of data science, the first algorithm I was introduced to was Linear Regression. I applied it to …