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What is a neural network?: Very simple explanation of a neural network using an analogy that even a high school student can ...

This video contains a practical roadmap to learn agentic AI using free learning resources and step by step study plan. Roadmap ...

I asked a couple of my friends this question: What is the difference between Machine Learning and Deep Learning and majority of ...

RNN or Recurrent Neural Network are also known as sequence models that are used mainly in the field of natural language ...

What is the difference between generative ai and ai agents and agentic AI system? Let's understand it in a very simple, intuitive ...

What is Machine Learning? This is an introduction to machine learning to begin the python machine learning tutorial series.

Activation functions (step, sigmoid, tanh, relu, leaky relu ) are very important in building a non linear model for a given problem.

In this video, we will see how you can think of a logistic regression as a neuron. We will use insurance dataset as a sample and ...

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=cdiD-9MMpb0 Please support this podcast by checking out ...

AI vs ML vs DL vs Gen AI, these terms can be confusing to understand. In this short video, I will explain the difference between ...

"️ Purdue - Professional Certificate in AI and Machine Learning ...

LSTM or long short term memory is a special type of RNN that solves traditional RNN's short term memory problem. In this video I ...

AI startups such as Pinecone, Milvus, and Chromadb have raised millions of $ in the hot AI boom era. They all have a common ...

Advancements in deep learning (especially invention of convolutional neural network or CNN or ConvNet) has made possible ...

Logistic regression is used for classification problems in machine learning. This tutorial will show you how to use sklearn ...

A very simple explanation of word2vec. This video gives an intuitive understanding of how word2vec algorithm works and how it ...

Overfitting and underfitting are common phenomena in the field of machine learning and the techniques used to tackle overfitting ...

In this video, we will clearly understand what is data warehouse, data lake and data lakehouse using simple explanation. We will ...

Derivatives and partial derivatives are important concepts that we need to understand in order to gain knowledge on how neural ...

YOLO (You only look once) is a state of the art object detection algorithm that has become main method of detecting objects in the ...