Dive into the fascinating world of Artificial Intelligence and Machine Learning with our introductory video! ???? Led by AI enthusiast Rohit Singh Chauhan, this course unveils the core concepts of AI and ML, using the MNIST dataset for practical demonstrations. ???? Explore different AI paradigms, delve into machine learning types, and get a sneak peek into the vast universe of deep learning and large language models. Perfect for beginners and enthusiasts alike, this video sets the stage for our comprehensive AI/ML series. Join us to begin your journey into AI and ML! ????
Time Code:
00:00 Introduction to the Course
02:20 Understanding the Brain and AI
10:40 Generic Paradigms in AI
23:00 Machine Learning Models
37:55 Types of Artificial Intelligence
44:51 Types of Machine Learning
1:03:20 Types of Deep Learning
Check the following contents:
- Introduction to the Course
Instructor Introduction
Educational and Professional Background
Communication and Resources
- Understanding the Brain and AI
Scale and Simulation of Brain Neurons and Synapses
Evolutionary Comparison between Humans and AI
- Generic Paradigms in AI
AI Paradigms: Modeling, Learning, and Inference
Application Examples using MNIST Dataset
- Machine Learning Models
Example of Model using MNIST Dataset
Steps in Building and Training a Neural Network
- Types of Artificial Intelligence
Weak/Narrow AI, General AI, Super AI
- Types of Machine Learning
Supervised, Unsupervised, and Reinforcement Learning
- Types of Deep Learning
Feedforward Neural Networks, Recurrent Neural Networks, Autoencoders, Convolutional Neural Networks, LSTM, GANs
Get the PDF at www.codemaths.in
#ArtificialIntelligence #MachineLearning #AICourse #MLBasics #DeepLearning #DataScience #TechnologyEducation #AIIntroduction #MNIST #AIEnthusiast #LearningAI #MLSeries #hindi #TechEducation #AIEvolution #RohitSinghChauhan #neuralnetworks #recurrentneuralnetwork
#convolutionalneuralnetwork #generativeai #regression #supervisedlearning #unsupervisedlearning #superai #graph
Time Code:
00:00 Introduction to the Course
02:20 Understanding the Brain and AI
10:40 Generic Paradigms in AI
23:00 Machine Learning Models
37:55 Types of Artificial Intelligence
44:51 Types of Machine Learning
1:03:20 Types of Deep Learning
Check the following contents:
- Introduction to the Course
Instructor Introduction
Educational and Professional Background
Communication and Resources
- Understanding the Brain and AI
Scale and Simulation of Brain Neurons and Synapses
Evolutionary Comparison between Humans and AI
- Generic Paradigms in AI
AI Paradigms: Modeling, Learning, and Inference
Application Examples using MNIST Dataset
- Machine Learning Models
Example of Model using MNIST Dataset
Steps in Building and Training a Neural Network
- Types of Artificial Intelligence
Weak/Narrow AI, General AI, Super AI
- Types of Machine Learning
Supervised, Unsupervised, and Reinforcement Learning
- Types of Deep Learning
Feedforward Neural Networks, Recurrent Neural Networks, Autoencoders, Convolutional Neural Networks, LSTM, GANs
Get the PDF at www.codemaths.in
#ArtificialIntelligence #MachineLearning #AICourse #MLBasics #DeepLearning #DataScience #TechnologyEducation #AIIntroduction #MNIST #AIEnthusiast #LearningAI #MLSeries #hindi #TechEducation #AIEvolution #RohitSinghChauhan #neuralnetworks #recurrentneuralnetwork
#convolutionalneuralnetwork #generativeai #regression #supervisedlearning #unsupervisedlearning #superai #graph
Comments