So you’ve seen the recent news about how artificial intelligence (AI) is changing everything. However, the idea of AI has been around for a long time. Machines that think and talk like humans have been the inspiration for movies and stories for decades. But what’s the deal? Why has AI been getting better and better … Read moreAn In-depth Review of Andrew Ng’s deeplearning.ai Speciliazation
Estimators were introduced in version 1.3 of the Tensorflow API, and are used to abstract and simplify training, evaluation and prediction. If you haven’t worked with Estimators before I suggest to start by reading this article and get some familiarity as I won’t be covering all of the basics when using estimators. In no means … Read moreAn Advanced Example of Tensorflow Estimators Part (1/3)
Jul 19, 2018 Hypothesis analysis is a widely known concept and is used extensively by researchers, statisticians and quantitative analysts. It allows them to follow a set of formal steps to perform calculated analysis on their data. It is also widely used in machine learning and artificial intelligence. In this article, I will be explaining core concepts of … Read moreHypothesis Analysis Explained
Docker is a tool which helps developers build and ship high quality applications, faster, anywhere. Source Why Docker With Docker, developers can build any app in any language using any toolchain. Dockerized apps are completely portable and can run anywhere. Developers can get going by just spinning any container out of list on Docker Hub. … Read moreDocker Basics
Jul 8, 2018 In this tutorial we will discuss about integrating PySpark and XGBoost using a standard machine learing pipeline. We will use data from the Titanic: Machine learning from disaster one of the many Kaggle competitions. Before getting started please know that you should be familiar with Apache Spark and Xgboost and Python. The … Read morePySpark ML and XGBoost full integration tested on the Kaggle Titanic dataset
In the previous post I covered the basics you need to know to work with SQL Server. In this post, I want to show you some more advanced techniques that I found pretty helpful. The topics I will cover include: How to speed up your queries with indices and using columnstore Using Views and Table … Read moreMore advanced SQL Server for Data Scientists