• 17 best python libraries

    Python is one of the world most popular and widely used high-level, general-purpose Language. There are many big organization using python for software development because of its versatile features.It provide extensive support of libraries. Here we highlighting the top 10 very useful and famous Python libraries. Scrappy is widely...
  • Teaching R to New Users – From tapply to the Tidyverse

    Abstract The intentional ambiguity of the R language, inherited from the S language, is one of its defining features. Is it an interactive system for data analysis or is it a sophisticated programming language for software developers? The ability of R to cater to users who do not see...
  • Data Notes: How to Forecast the S&P 500 with Prophet

    Stock markets, political parties, and extraterrestrials: Enjoy these new, intriguing, and overlooked datasets and kernels. 1. S&P 500 Simple Forecasting with Prophet (link) 2. 📚 arXiv Data Analysis: Computation and Language Papers (link) 3. 👽 Dysonian SETI with Machine Learning (link) 4. 🎦 Content-based Recommender Using Text Mining (link) 5. 🎬 Predicting Cast...
  • Gefilter Fish: Finding concise topics from Amazon’s customer reviews

    Patrick Lestrange was an Insight Data Science Fellow (Winter 2018) from Insight’s second Seattle session. In his first four weeks at Insight, he built a Chrome extension for Amazon customers to easily identify useful topics in customer reviews. Previously, Patrick was a postdoctoral researcher at the University of Washington,...
  • SLO’s & You: A Guide To Service Level Objectives

    This is the first in a multi-part series about Service Level Objectives. Whether you’re just getting started with DevOps or you’re a seasoned pro, goals are critical to your growth and success. They indicate an endpoint, describe a purpose, or more simply, define success. But how do you ensure...
  • How to use Named Entity Recognition in Excel without writing code?

    Text analysis, as a whole, is an emerging field of study. Fields  such as Marketing, Product Management, Academia, and Governance are already leveraging the process of analyzing and extracting information from textual data. In a previous post, we discussed the technology behind Text Classification, one of the essential parts...
  • Breakfast with AI

    Chapter-1 Sequence to Sequence Learning with Neural Networks Hey Guys! Welcome to my very first article in machine learning. I am currently working as a machine learning engineer intern in the field of Natural Language Processing at Fireflies.ai. I have been reading some interesting ML research articles written by various...
  • Science For The People back in action!

    Home > Uncategorized > Science For The People back in action! Science For The People back in action! The good folks at Science For The People are hosting an event to celebrate their first publication in a long while (see more about the history of SftP here):     Celebrate the return of...
  • ElastiK Nearest Neighbors: LSH and Elasticsearch for Scalable Online KNN Search

    For my Insight Data Engineering project, I built an Elasticsearch plugin to simplify the implementation of large-scale K-Nearest Neighbors (KNN) in online applications. The key features include: Running approximate KNN search on a corpus of 7 million items with sub-second search time and support for many parallel searches. Continuously...