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Artificial Intelligence For Engineers

Crash course for B.tech first year students.

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What you will learn

  • Understand the evolution and various approaches of AI
  • Understand data storage, processing, visualization, and its use in regression, clustering etc.
  • Understand natural language processing and chatbots
  • Understand the concepts of neural networks
  • Understand the concepts of face, object, speech recognition and robots

Requirements

  • This is a beginner level course so no prerequisites required.

Description

Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems or playing chess—with great proficiency. Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, and voice or handwriting recognition.

 

Live Classes will start after enrollment December. 

Course Content

The evolution of AI to the present
Live at: 2020-12-24 07:00:00
25min
Various approaches to AI
Live at: 2020-12-24 07:00:00
25min
What should all engineers know about AI?
Live at: 2020-12-24 07:00:00
25min
Other emerging technologies
Live at: 2020-12-24 07:00:00
25min
AI and ethical concerns
Live at: 2020-12-24 07:59:00
25min
History Of Data
Live at: 2020-12-25 07:00:00
20min
Data Storage And Importance of Data and its Acquisition
Live at: 2020-12-25 07:00:00
30min
The Stages of data processing
Live at: 2020-12-25 07:14:00
10min
Data Visualization
Live at: 2020-12-25 07:15:00
10min
Regression, Prediction & Classification
Live at: 2020-12-25 19:30:00
30min
Clustering & Recommender Systems
Live at: 2020-12-25 07:50:00
30min
Speech recognition
Live at: 2020-12-26 19:00:00
25min
Natural language understanding
Live at: 2020-12-26 19:25:00
25min
Natural language generation
Live at: 2020-12-26 19:50:00
25min
Chatbots
Live at: 2020-12-26 20:20:00
25min
Machine Translation
Live at: 2020-12-26 20:35:00
25min
Deep Learning
Live at: 2020-12-27 19:00:00
25min
Recurrent Neural Networks
Live at: 2020-12-27 19:50:00
25min
Convolutional Neural Networks
Live at: 2020-12-27 20:20:00
25min
The Universal Approximation Theorem
Live at: 2020-12-27 20:30:00
25min
Generative Adversarial Networks
Live at: 2020-12-27 20:50:00
25min
Image and face recognition
Live at: 2020-12-28 19:00:00
20min
Object recognition
Live at: 2020-12-28 19:25:00
25min
Speech Recognition besides Computer Vision
Live at: 2020-12-28 19:51:00
25min
Robots
Live at: 2020-12-28 20:15:00
25min
Applications
Live at: 2020-12-28 20:40:00
25min

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About the Instructor

instructor
About the Instructor

Educator, coach and consultant, imparting knowledge and skills oveer more than a decade, prime interest area is Artificial Intelligence, Machine Learning, Internet of things and python