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Exclusive Interview with Dr. Sunil Kumar Vuppala – A Deep Learning Expert and IoT Veteran
Introduction There are multiple ways to learn data science, machine learning and deep learning concepts. You can watch videos, read articles, enroll in courses, …
Regime Shift Models – A Fascinating Use Case of Time Series Modeling
This article is written by Sonam Srivastava. She is one of the eminent speakers at DataHack Summit 2019, where she will be talking about …
Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch
Overview The art of transfer learning could transform the way you build machine learning and deep learning models Learn how transfer learning works using …
Top 5 Winning Solutions and Approaches from AmExpert 2019 – Feature Engineering Special!
Overview Presenting the top five winning solutions and approaches from the AmExpert 2019 hackathon The problem statement was from the retail industry and geared …
A Comprehensive Guide to Learn Swift from Scratch for Data Science
Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll …
Build your First Linear Regression Model in Qlik Sense
Overview Qlik is widely associated with powerful dashboards and business intelligence reports Did you know that you can use the power of Qlik to …
Mathematics behind Machine Learning – The Core Concepts you Need to Know
Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including …
Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)
Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia …
7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019
Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be …
Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project
Overview Web scraping is a highly effective method to extract data from websites (depending on the website’s regulations) Learn how to perform web scraping …
A Detailed Guide to the Powerful SIFT Technique for Image Matching (with Python code)
Overview A beginner-friendly introduction to the powerful SIFT (Scale Invariant Feature Transform) technique Learn how to perform Feature Matching using SIFT We also showcase …
Deployed your Machine Learning Model? Here’s What you Need to Know About Post-Production Monitoring
Overview What are the next steps after you’ve deployed your machine learning model? Post-deployment monitoring is a crucial step in any machine learning project …
Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub
Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – …
Build an Image Classification Model using Convolutional Neural Networks in PyTorch
Overview A hands-on tutorial to build your own convolutional neural network (CNN) in PyTorch We will be working on an image classification problem – …
Become a Data Visualization Whiz with this Comprehensive Guide to Seaborn in Python
Overview Seaborn is a popular data visualization library for Python Seaborn combines aesthetic appeal and technical insights – two crucial cogs in a data …
Introducing “PocketML” – an Experiential Learning Platform for Data Science
Do we need to change the way we learn? Before you read any further, here is a sneak peak of our new experiential learning …
Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework
Overview Google’s BERT has transformed the Natural Language Processing (NLP) landscape Learn what BERT is, how it works, the seismic impact it has made, …
DataHack Radio: All you Need to Know about TensorFlow with Google’s Paige Bailey
Introduction TensorFlow is easily the most widely used deep learning framework right now. The idea behind TensorFlow (TF) has even spawned multiple products, such …
How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy
Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply …
4 Unique Methods to Optimize your Python Code for Data Science
Overview Writing optimized Python code is a crucial piece in your data science skillset Here are four methods to optimize your Python code (with …
