ireadrx Exciting NLP and Computer Vision research for Patent Chemistry discovery and analysis In 2021 I and a bunch of very smart and driven ML/AI engineers are working on developing NLP and CV algorithms to discover and extract interesting chemistry from patents.
commoncrawl Fast HTML parsing in Python I love BeautifulSoup library in Python. It is one of those libraries that just work and make your life easy. I recently came across a fast parser for HTML in Python, https://github.com/rushter/selectolax and waiting to give it a spin. The
Analyzing Bitcoin Transactions on Google Big Query I've written some queries on analyzing BTC transactions data here. This is a broader project of mine to analyze many other publicly available datasets with Google's Big Query. Go take a look.
string similarity Postgres text similarity with commoncrawl domains Commoncrawl is a public repository of web crawl data made available for analysis. In this post I want to extract the list of domains crawled, stick them into a Postgres
rstats Multiple Plots using Ggplot2 I am a big fan of the tidyverse set of libraries, especially ggplot2 While there is a raging debate on the use of base-r vs tidyverse to teach R to beginners, I will choose tidyverse for the convenience and for the connected ecosystem of
sql Just Learn SQL! SQL is everywhere. From databases that we are all too familiar with such as Oracle, MySQL, Postgres to Big Data offerings such as Hive, SparkSQL, Presto, Redshift, Athena and BigQuery to name a few.
What does Data Science mean for businesses Data Science (DS) has indeed captured the imagination of entire swathes of industries and domains. With the now famous statement that "software is eating the world" actually ringing true, businesses are undergoing digital transformation as a matter of routine. As part of these digital
hiring Bringing clarity when hiring a Data Science professional Interviewing candidates for a Data Science position can be a challenge. I've developed hiring processes in the past and continue to work with some of my founder friends to tweak and refine their Data Science hiring initiatives.
deepo Simple deep learning environment setup I came across Deepo recently and was amazed at the level of simplicity that is now available if one wants to start tinkering with deep learning. Check out the deep
Kaggle Presenting your work For those graduating with a degree in Analytics and Data Science, you have many resources to work with when it comes to presenting your skills to hiring managers. Some examples
BERT Thoughts on the use of AI models distributed online AI model marketplaces come in various shapes and sizes. Outside of the conventional marketplace approach, large Internet companies have made open-source contributions that include not just libraries but also models.
crowdsourcing Crowdsourcing IP reputation data from online forums In this post, I discuss the topic of crowdsourcing IP reputation data from online forums. The post is inspired by a paper I read recently, Gharibshah J., Papalexakis E.E.
Data Product Developing a data product I wanted to develop a product end to end. One product idea was to develop a service that would identify web technologies used by popular sites. The "end to
resent50 Deploy a scalable image labeling service Develop an image labeling service using a pre-trained deep neural network and scale the service by deploying to the cloud.
Resnet50 Label images with a deep neural network It isn't often that you need to label lots of images. But when the need arises you can use many of the pre-trained deep neural network models available for image
Rstudio Learning Docker by building an R learning environment Docker is a technology that makes it very easy to try a piece of software or technology without running into installation problems that you would otherwise run into if you
postgresql Learn SQL in a browser with PostgreSQL and pgweb PostgreSQL is a very versatile database. If you want to learn SQL, then a quick way to start is to 1) grab some data you want to analyze 2) insert
