It is hassle-free and saves time.

Recently facebook opensourced Pytext, for rapid prototyping and deploying deep-learning based models. I took it for a spin, and documented…

This is a list of the best libraries and packages that changed our lives this year, compiled from my weekly digests

TensorFlow is a very powerful and open source library for implementing and deploying large-scale machine learning models. This makes it…

Let's build an NLP model that can help out your customer support agents by suggesting previously-asked, similar questions.

Microservice architectures are all the rage and new frameworks have emerged to build them.  In this episode Casey, Alan, and Tyrel round up some of the frameworks they've been exploring and how they stack up to one another. http://friday.hirelofty.com/ht…

Time series data is becoming prevalent. In this post, we illustate what time series data is and how you can harness the power of time series data to provide some cool analytics.

Say you have an external hard drive with layers upon layers of cryptically named folders and intricate mazes of directories (like here, or here). How can you make sense of this mess? Python offers various tools in the Python standard library to deal with…

In this tutorial you will learn how to perform regression using Keras. You will learn how to train a Keras neural network for regression and continuous value prediction, specifically in the context of house price prediction.

Most Python Engineers I meet and talk to now are free to live the dream of Python 3 and asyncio. Employers are actually giving us the…

Python provides many advantages over the traditionally popular VBA scripts for finance professionals looking to automate and enhance their work processes. This article explores how to use Python and finance together via a practical step-by-step tutorial.

Since reader endpoints are only accessible as individual nodes in AWS ElastiCache, applications need to load balance read requests themselves. Read more to see how SendBird eliminates single points of failure in our Redis deployment by implementing an active…

In this article, you will explore how you can leverage Kubernetes, Tensorflow and Kubeflow to scale your models without having to worry about scaling the infrastructure.

Using Deep Learning to Solve Minor Annoyances

In this video we understand the terms python web scraping, spiders and web crawling. We also see an example of amazon being scraped using scrapy.

Next video - How does web scraping work?
https://youtu.be/wYJAtx4HL6U

Full playlist - https://www.youtube.…

Introduction

This is part 2 of our Kubernetes hackday series. Part 1 goes over how we spent the day and what the goals and motivations are. For part 2, we're going to delve into the architecture required for running a Django application on Kubernetes, as well as some…