Ajitesh Kumar

Three Key Challenges of Machine Learning Models

In this post, you will learn about the three most important challenges or guiding principles that could be used while…

6 years ago

Hypergeometric Distribution Explained with 10+ Examples

In this post, we will learn Hypergeometric distribution with 10+ examples. The following topics will be covered in this post: What is Hypergeometric…

6 years ago

Binomial Distribution with Python Code Examples

In this code, you will learn code examples, written with Python Numpy package, related to the binomial distribution. You may want to check out…

6 years ago

Beta Distribution Example for Cricket Score Analysis

This post represents a real-world example of Binomial and Beta probability distribution from the sports field. In this post, you will learn about how the run…

6 years ago

How to Print Unique Values in Pandas Dataframe Columns

A quick post representing code sample on how to print unique values in Dataframe columns in Pandas. Here is a…

6 years ago

Pandas – How to Extract Month & Year from Datetime

This is a quick post representing code sample related to how to extract month & year from datetime column of…

6 years ago

Pandas – How to Concatenate Dataframe Columns

Quick code sample on how to concatenate the data frames columns. We will work with example of Boston dataset found…

6 years ago

Difference between Machine Learning & Traditional Software

In this post, we will understand what are some of the key differences between machine learning models and traditional/conventional software.…

6 years ago

Neural Network Architecture for Text-to-Speech Synthesis

In this post, you would learn about a neural network reference solution architecture which could be used to convert the…

6 years ago

Reverse Image Search using Deep Learning (CNN)

In this post, you will learn about a solution approach for searching similar images out of numerous images matching an…

6 years ago

Why Data Scientists Must Learn Statistics?

In order to understand the need for data scientists to be very good at the statistical concepts, one needs to…

6 years ago

When not to use F-Statistics for Multi-linear Regression

In this post, you will learn about the scenario in which you may NOT want to use F-Statistics for doing the hypothesis…

6 years ago

Machine Learning – Cloud-native Model Deployments

In this post, we are going to learn about the cloud-native machine learning model deployments.  Cloud-native Deployments First and foremost,…

6 years ago

What, When & Why of Regularization in Machine Learning?

In this post, we will try and understand some of the following in relation to regularizing the regression machine learning…

6 years ago

Unit Tests & Data Coverage for Machine Learning Models

This post represents thoughts on what would it look like planning unit tests for machine learning models. The idea is to…

6 years ago

Machine Learning Cheat sheet (Stanford)

Here is a great set of cheat sheet on some of the following topics: Supervised learning Unsupervised learning Deep learning…

7 years ago