Read this insightful, step-by-step article on how to use machine learning to understand and leverage text.

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...). - GitHub - interviewBubble/Data-Science-Competitions: Goal of th...

Python Stream Processing. Contribute to robinhood/faust development by creating an account on GitHub.

Algorithmic Design Paradigm for the rest of us

Applying OCR on ROI of Image with Automated Orientation Adjustment.

🔥Save time by using the best auto formatters for python - a comparison to find the best for Python 2 and Python 3

Learn how to build a chatbot using Rasa NLU? This article is a guide on how to build and deploy Rasa charbot with the IPL case study.

Overfitting is a problem in Deep Neural Networks (DNN): the model learns to classify only the training set, adapting itself to the training examples instead of learning decision boundaries capable of classifying generic instances. Many solutions to the overfitting…

How engineers and data scientists at Uber came together to come up with a means of partially replicating Vertica clusters to better scale our data volume.

Supervised machine learning is often described as the problem of approximating a target function that maps inputs to outputs.

This description is characterized as searching through and evaluating candidate hypothesis from hypothesis spaces.

The discussion…

Data Science projects on Github in python and R. In this article we cover machine learning, deep learning and programming projects.

In a selection of presentations delivered at a June 2019 Uber meetup, we discuss how to use H3, our open source hexagonal indexing system, to facilitate the granular mining of large geospatial data sets.

TL;DR; What happens if Deep Fakes become real time? Let’s try it!