Introduction to Machine Learning
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
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The tools you should know for the Machine Learning projects
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
What does the Machine Learning process look like?
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?
Calibrated Quantum Mesh – Better Than Deep Learning for Natural Language Search
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
Natural Language Processing
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
Common Applications of Machine Learning for Small-Scale Businesses
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
7 Steps to Ensure and Sustain Data Quality
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 Tree vs Random Forest vs Gradient Boosting Machines: Explained Simply
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
How to deal with missing data
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
An elegant way to represent forward propagation and back propagation in a neural network
Sometimes, you see a diagram and it gives you an ‘aha ha’ moment Here is one representing forward propagation and back propagation in a neural… Read More »An elegant way to represent forward propagation and back propagation in a neural network