Machine Learning for Engineering & Science Applications | IIT Madras - #44 Biological Neuron | Machine Learning for Engineering & Science Applications

Unlock the Future: Master AI & Machine Learning with NPTEL-IITM’s Comprehensive Course! Dive into Neural Networks, Deep Learning, Probabilities, and Optimization Techniques tailored for Engineering & Science Applications. Your AI journey starts here!

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What you'll learn

Understand the historical development and foundational concepts of artificial intelligence.
Gain proficiency in applying machine learning techniques to engineering and science problems.
Develop skills in using linear algebra and calculus for machine learning modeling.
Learn to implement and optimize machine learning algorithms using Python packages.

This course includes

32 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

Biological neuron Lecture 44

Full Transcript

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture provides an overview of biological neurons, the inspiration behind artificial neural networks. It describes the key components of a neuron, including the axon, dendrites, and synapse, explaining their functions and how they contribute to signal transmission in the nervous system. The lecture aims to bridge the gap between biological and artificial neural networks, highlighting the biological underpinnings of machine learning models. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #BiologicalNeuron #NeuralNetworks #Inspiration #Axon #Dendrite #Synapse