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Z-Score Explained with Ronaldo / Robert Example
In this post, you will learn the concepts of Z-Score with the help from examples including Christiano Ronaldo and Robert…
Author Ajitesh Kumar
Ajitesh Kumar
I have been recently working in the area of Data Science and Machine Learning / Deep Learning. In addition, I am also passionate about various different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia etc and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. I would love to connect with you on Linkedin.
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Data Storytelling Explained with Examples
In this post, you will learn about some of the key concepts in relation to data storytelling and why data…
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How to Setup / Install MLFlow & Get Started
In this post, you will learn about how to setup / install MLFlow right from your Jupyter Notebook and get…
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Python – How to Add Trend Line to Line Chart / Graph
In this plot, you will learn about how to add trend line to the line chart / line graph using…
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Top Tutorials – Neural Network Back Propagation Algorithm
Here are the top web pages /videos for learning back propagation algorithm used to compute the gradients in neural network. I…
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Product Manager – Machine Learning Interview Questions
In this post, you will learn about some of the interview questions which can be asked in the AI /…
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Different Types of Activation Functions using Animation
In this post, you will be seeing different types of activation functions used in neural networks in form of an…
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Feed Forward Neural Network Python Example
In this post, you will learn about the concepts of feed forward neural network along with Python code example. In order to get good…
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What’s Softmax Function & Why do we need it?
In this post, you will learn about the concepts of Softmax function with Python code example and why do we…
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Get Started with Julia – Hello World
In this post, you will learn about instructions to set up Julia and getting started with Julia using Anaconda /…
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Cross Entropy Loss Explained with Python Examples
In this post, you will learn the concepts related to cross-entropy loss function along with Python and which machine learning…
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Python Sklearn – How to Generate Random Datasets
In this post, you will learn about some useful random datasets generators provided by Python Sklearn. There are many methods provided…
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Neural Networks and Mathematical Models Examples
In this post, you will learn about concepts of neural networks with the help of mathematical models examples. In simple…
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Adaline Explained with Python Example
In this post, you will learn the concepts of Adaline (ADAptive LInear NEuron), a machine learning algorithm, along with Python…
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Perceptron Explained using Python Example
In this post, you will learn about the concepts of Perceptron with the help of Python example. It is very important for data scientists…
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Stochastic Gradient Descent Python Example
In this post, you will learn the concepts of Stochastic Gradient Descent using Python example. In order to demonstrate Stochastic gradient descent…