I enjoy data prep munging for analyses with computational platforms such as R, Python-Pandas, Julia, Apache Spark, and even relational databases. The wrangling cycle provides… Read More »Using Python and R to Load Relational Database Tables, Part I
What is Machine Learning? This story started in mid 60 in the last century. Scientists and engineers found a lot of problems that were too… Read More »Introduction to Machine Learning
I have been frequently asked about the tools for the Machine Learnign projects There are lot of them on the market so in my newest… Read More »The tools you should know for the Machine Learning projects
I have mentioned that every Machine Learning process is built from several steps like: what would you like to achieve (define the goal) prepare the… Read More »What does the Machine Learning process look like?
Summary: Move over RNN/LSTM, there’s a new algorithm called Calibrated Quantum Mesh that promises to bring new levels of accuracy to natural language search and… Read More »Calibrated Quantum Mesh – Better Than Deep Learning for Natural Language Search
Deploying Natural Language Processing for Product Reviews Introduction We have data all around us and there are of two forms of data namely; tabular and… Read More »Natural Language Processing
When I first heard about machine learning (ML), I thought only big companies applied it to explore big data. On searching the internet for the… Read More »Common Applications of Machine Learning for Small-Scale Businesses
Several years ago, I met a senior director from a large company. He mentioned the company he worked for was facing data quality issues that eroded customer… Read More »7 Steps to Ensure and Sustain Data Quality
Decision Trees, Random Forests and Boosting are among the top 16 data science and machine learning tools used by data scientists. The three methods are similar,… Read More »Decision Tree vs Random Forest vs Gradient Boosting Machines: Explained Simply
Originally posted by Vincent Ajayi. The most common challenge faced by data scientists (DS) and data analysts (DA) is missing data. Every day, both DA… Read More »How to deal with missing data
