Demystifying the so-called Black Box of Neural Network

Neural Network From Scratch in Python

Introduction:

Do you really think that a neural network is a block box? I believe, a neuron inside the human brain may be very complex, but a neuron in a neural network is certainly not that complex.

It does not matter, what software you are developing right now, if you are not getting up to speed on machine learning…you lose. We are going to an era where one software will create another software and perhaps automate itself.

In this article, we are going to discuss how to implement a neural network Machine Learning Algorithm from scratch in Python. …


Naive Bayes Algorithm Feature Scaling

Why Naive Bayes Algorithm is NOT affected by Feature Scaling

is a short video regarding, Why Naive Bayes Machine Learning algorithm is NOT affected by feature magnitude, hence Naive Bayes does not need feature scaling.

Why Naive Bayes Algorithm is NOT affected by Feature Scaling

Happy Learning !!


Exploration vs Exploitation

Exploration and Exploitation in Reinforcement Learning

is a short video, regarding the concept of Exploration and Exploitation in question-answer format, and the explanation of the right answer is also discussed.

Happy Learning !!


Feature Scaling in Random Forest Algorithm

Why Random Forest Algorithm is NOT affected by Feature Scaling

is a short video regarding Why Random Forest Machine Learning algorithm is NOT affected by feature magnitude hence Random Forest does not need feature scaling.

Why Random Forest Algorithm is NOT affected by Feature Scaling

Happy Learning !!


Suppress Warnings in Python

Disable Ignore or Suppress Warnings in Python Pandas and Jupyter Notebook

Disable Ignore or Suppress Warnings in Python Pandas and Jupyter Notebook is a small video explaining what is a warning in python programming, why it appears, and how to disable it if required.

Disable Ignore or Suppress Warnings in Python Pandas and Jupyter Notebook

Happy Learning !!


Top 10 Object Detection Algorithms in Machine Learning

Object detection is one of the problems in the area of computer vision where we recognize what objects are inside a given image and also where they are in the image. Object detection is also implemented for videos.
Object detection draws a bounding box around the objects found and labels the box with the object name. The model predicts wherein the image each object is and what label should be applied to the object found.

Application of Object Detection A well-known application of Object Detection is in self-driving cars where the algorithm not only needs to detect the cars, but…


WhatsApp vs Telegram vs Signal

WhatsApp is a messaging service owned by American social media Facebook.

Telegram is a messaging service, managed and funded by, Russian social media billionaire Pavel Durov.

Signal is a messaging service, developed by the Signal Foundation and Signal Messenger. Signal Foundation is funded by donations and the investment from executive chairman Brian Acton. Brian Acton was one of WhatsApp’s founders who left Facebook.

Let us compare these three messaging services using 10 features. This may help you choose which messaging service suits you best as per your requirement. The features compared in the video are as below: User base, Group…


Image Classification vs Object Detection

Image Classification vs Object Detection

Image classification takes an image as an input and outputs the image classification label as well as metrics like probability.

On the other hand, the Object Detection model predicts where each
an object is in the image and what label should be applied to the object found.

is a short video to describe the core difference between Image Classification and Object Detection in Machine Learning.

Image Classification vs Object Detection

Happy Learning !!


Is Neural Network still a Black Box?

Key Mystery about Deep Learning Neural Network

Do you believe that you know almost everything about neural networks and you can explain most of their inner workings? Alright, then this video is for you…

is a short video in a question-answer format to discuss one of the (little-known or well known? )mystery of Neural Network. Please watch the video and comment, 1. If you do not consider this a mystery (please explain it as well)

2. If you liked the mystery…:)

Key Mystery about Deep Learning Neural Network

Looking forward to a demystification…

Happy Learning !!


Whitening the so-called Black Box

Concept Whitening in Neural Network

Neural Network’s Interpretability is definitely very important. However, the computations of neural networks are extremely challenging to understand.

Several attempts to understand the hidden layers of the neural networks has been misleading or unusable.

Therefore a new concept known as has been introduced. Concept Whitening alters a given layer of the neural network to better understand the calculations leading up to that layer.

For more details about , you may like to watch the below video…

Concept Whitening in Neural Network

Happy Learning !!

Dhiraj K

Data Scientist & Machine Learning Evangelist. I like to mess with data.

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