Showing posts with label open lectures. Show all posts
Showing posts with label open lectures. Show all posts

Saturday, February 6, 2016

Open Lectures on Artificial Intelligence



Cleverbot - a web application which you can chat with. IBM Watson - a computer system which can answer questions posed in natural language. Autonomous Cars - vehicles that are capable of sensing their surroundings and navigating without human input. Google's AlphaGo - a computer program that can play the board game Go. iRobot's Roomba - an autonomous home vacuum cleaner. Apple's Siri - a computer program that works as an intelligent personal assistant and knowledge navigator. etc. etc. There are so many examples of the applications of Artificial Intelligence (AI). Today AI techniques are widely used in our world from video games to autonomous vehicles to the Hubble space telescope.

Here are open lectures that introduce you to the basic ideas and techniques of artificial intelligence, machine learning and natural language processing.


Introduction to Artificial Intelligence (UC Berkeley)
Instructors: Professor Pieter Abbeel and Professor Dan Klein. This course introduces the basic ideas and techniques underlying the design of intelligent computer systems.

Artificial Intelligence (MIT OCW)
Instructor: Professor Patrick Henry Winston. This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence.

Introduction to Artificial Intelligence (University of British Columbia)
Instructor: Professor Alan Mackworth. The major topics covered will include reasoning and representation, search, constraint satisfaction problems, planning, logic, reasoning under uncertainty, and planning under uncertainty.

Artificial Intelligence (Hochschule Ravensburg-Weingarten Univ.)
Instructor: Professor Wolfgang Ertel. This course provides an overview of the field of Artificial Intelligence (AI) with its current widespread ramifications.

Artificial Intelligence (IIT Kharagpur)
Instructor: Prof.P.Dasgupta. The course covers lessons in Introduction to Artificial Intelligence, Problem Solving by Search, Searching with Costs, Heuristic Search: A* and Beyond, Searching Game Trees, ...

Artificial Intelligence (IIT Kharagpur)
Instructors: Prof. Anupam Basu and Prof. S. Sarkar. The course will cover basic ideas and techniques underlying the design of intelligent computer systems.

Artificial Intelligence: Knowledge Representation and Reasoning
Instructor: Prof. Deepak Khemani, IIT Madras. An intelligent agent needs to be able to solve problems in its world.

Machine Learning (Stanford Univ.)
Taught by Professor Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition.

Machine Learning (Caltech)
This is an introductory course by Caltech Professor Yaser Abu-Mostafa on machine learning that covers the basic theory, algorithms, and applications.

Machine Learning and Data Mining (University of British Columbia)
Instructor: Professor Nando de Freitas. This course will provide an introduction to machine learning and data mining. It will teach the basic principles and skills required for analysing data in a principled way.

Natural Language Processing (Stanford Univ.)
Instructor: Professor Christopher D. Manning. This course is designed to introduce students to the fundamental concepts and ideas in natural language processing (NLP).

Natural Language Processing (IIT Bombay)
Instructor: Prof. Pushpak Bhattacharyya. Sound : Biology of Speech Processing; Place and Manner of Articulation; Word Boundary Detection; Argmax based computations; HMM and Speech Recognition. ...

Thursday, October 10, 2013

All Lectures in Alphabetical Order

#
100 Essential Things You Didn’t Know About Maths and the Arts
400 Years of the Telescope

A
Ada Lovelace: Mathematician and Visionary
Adam Smith and the Birth of Economics
The Aging but Resilient Brain: Keeping Neurons Happy
Alan Turing: Legacy of a Code Breaker
Animal Eyes
Ants, bees and brains
Archimedes and the Quest for the Theory of Everything
The Archimedes Palimpsest (Google TechTalks)
Are We Alone? The Search for Life Beyond the Earth
Are we having a pollination crisis?
Are we living in a multiverse?
Arithmetic by Computer and by Human
The Art of Rhetoric
The Art of the Image
Arthur Conan Doyle and London
Artificial Eye, Artificial Vision: How does my robot see?
Asteroid Impacts with Earth
Astronomical Alchemy: The Origin of Elements
Atmospheric Phenomena

B
The Black Hole Wars
Black Holes and Galaxies: A Love-Hate Relationship
Black Holes: No need to be afraid!
Black Holes: The End of Time or a New Beginning?
Butterflies, Chaos and Fractals

C
Calculus Lectures (Free Video Lectures)
The Challenge of Big Data
Charlayne Hunter-Gault: Reflections on Nelson Mandela
Chemical Curiosities: Surprising Science and Dramatic Demonstrations
The Coldest March: Scott's Fatal Antarctic Expedition
Computers from the Inside Out
Cooked: A Natural History of Transformation by Michael Pollan
Creativity in Art, Creativity in Science
Creativity: Unlocking Hidden Potential

D
Dark Energy and the Runaway Universe
Dark Energy Rules the Universe
Dark Matter, Dark Energy and Inflation: The Big Mysteries of Cosmology
Dark Matter Universe on the Threshold Discovery
Deciphering Archimedes Palimpsest and Creating Digital Manuscripts
Decoding the Heavens: Solving the Mystery of the World's First Computer
Demystifying the Higgs Boson
Doing with Images Makes Symbols

E
The Early Universe
Energy and The Industrial Revolution: Past, Present and Future
Engineering Human Touch
The Enigma Code
Entropy and H Theorem: The Mathematical Legacy of Ludwig Boltzmann
Epigenetics: How Genes and Environment Interact
Every Picture Tells a Story
Evolution and the Future of the Earth
The Evolution of Vision
The Evolving Climate for Science and Society
Exoplanets and how to find them
Exploiting the Emergent: Technology and the Future
Exploring and Managing Earth from the Sky
Exploring the Universe from the South Pole
E=mc2

F
Fermat's Theorems
Fibonacci and the Golden Ratio Exposed
The Formation of Our Galaxy
Fourier's Series
From One to Many Geometries
The Future of Energy and Transport
The Future of Planetary Exploration
The Future of the Brain

G
Galactic Archaeology
Genius or Madness? The Psychology of Creativity
Genome: Unlocking Life's Code
Ghosts of Departed Quantities: Calculus and its Limits
Gilgamesh: Journeys to the End of the World

H
Hearts of Darkness: Black Holes in Space
The Hidden Ocean of Europa: Beneath the Frozen Surface
Hiding in the Mirror: The Mysterious Allure of Extra Dimensions
The History of Computing in Colour
How DNA Is Folded and Why It Matters
How Greek Maths Changed the World
How Life on Earth Nearly Ended 250 Million Years Ago
How Mathematicians Think About Patterns
How Plants Do it: Light, Oxygen, Action!
How the Earth Moves
How the Great Pyramid Was Built
Hubble's Heritage

I
In Search of Elegance
Interactive Artificial Intelligence
Interdisciplinarity in the Age of Networks
The Invisible Universe
Is Our Universe Part of a Multiverse?

J
James Clerk Maxwell: The Greatest Victorian Mathematical Physicists
Journey to the Center of the Earth

K
Keeping the Heart Young in an Old Body

L
Large Telescopes and Why We Need Them
Leonardo's Universe
Linear Algebra: The Incredible Beauty of Math
Linguistics as a Window to Understanding the Brain
The Lives of Stars
Living Through Four Revolutions
Living with Complexity

M
Mapping the Milky Way
Mark Rothko and the Inner World
Mathemagic
Mathematics Gives You Wings
The Mathematics that Counts
Mathematics: The Next Generation
Maths with Pictures
Measure for Measure: Quantum Physics and Reality
Modern Physics: The Theoretical Minimum
The Music of the Primes
Mysteries of Mathematical Universe
The Mystery of Empty Space

N
The Nature of Science and Scientific Investigation
Neuropsychoanalysis - Sigmund Freud Today
New Light on the Ancient Maya
New Ways to Treat Old Diseases
Newton's Laws
The Next Big Questions in Astronomy

O
Open Lectures - (Digital) Signal Processing
Open Lectures in Astronomy and Cosmology
Open Lectures on Algorithms
Open Lectures on Artificial Intelligence
Open Lectures on Electronic Circuits
Open Lectures on Embedded Systems
Open Lectures on Psychology
Open Lectures on Quantum Mechanics
Order from Chaos: The Birth of the Solar System
The Origin of Human Mind: Brain Imaging and Evolution
The Origin of the Elements
The Origin of the Universe and the Arrow of Time
Our Future Off Earth

P
The Paradoxes of Time Travel by Sean Carroll
Parrots the Universe and Everything
Partial Differential Equations: A Journey from Micro to Macro
Paul Dirac and the Religion of Mathematical Beauty
Personal Computing: Historic Beginnings
Physics of the Impossible - Teleportation, Invisibility and Force Fields
Principles of a Healthy Diet: How do We Know What to Eat?
Profiling the Invisible: Quantum Mechanics and the Unseen Universe
The Psychology of Doing Nothing
The Pursuit of Happiness

Q
Quasars: the Brightest Black Holes

R
The Really Big Picture: Things We Know about the Universe, and How We Know Them
Richard Stallman Speech
The Rise of Silicon Valley: Shockley Labs to Fairchild
The Role of the Ocean in the Global Carbon Cycle
Roving Mars: Exploration of the Red Planet

S
Saturn, its Moons and Rings
Saturn's Moon Titan: A World with Rivers, Lakes, and Possibly Even Life
The Science of Fireworks!
Science of Resilience: How to Thrive in Life
The Science of Singing
The Scientific Case for Urgent Action to Limit Climate Change
The Search for Dark Matter
Secret History of Silicon Valley
Secret Mathematicians
Sleep and Dreams
Solar Magnetic Storms and Space Weather
Spacetime Atoms and the Unity of Physics
Spooky Actions at a Distance?
Sports Engineering: How Science and Innovation are Part of the Competition
Sugar: The Bitter Truth
Symmetry, Art, and Illusion
Synergism Between Science and the Humanities

T
The End of Space and Time
To Infinity and Beyond
A Tribute to Euler
Turing: Pioneer of the Information Age

U
The Ultimate Revolution by Aldous Huxley
Understanding How Life Began
A Universe From Nothing
The Universe in a Nutshell: The Physics of Everything

V
Vision and the Artist
Voices - Jared Diamond
Volcanoes and Man

W
Was Karl Marx Always Wrong?
Water: The Strangest Liquid
What Hippocrates Knew and We Have Forgotten
What is Reading?
The World in 2050

Y
Your Legs, Your Life: The Importance of a Healthy Lower Half

Friday, April 5, 2013

Open Lectures - (Digital) Signal Processing


Whenever we talk on the phone or whenever we watch videos online or whenever we read e-books on tablets, the technology behind what we are doing is (digital) signal processing - the process of measuring, manipulating or analyzing information. Signal processing is widely used in the areas involving signals such as sound, electromagnetic radiation, images, and sensor data.

We are living in digital times, so we may think learning digital signal processing seems like a piece of cake. However, learning digital signal processing is a bit challenging - even for electrical engineering students. This provides a collection of open lectures about signal processing and its mathematical tools like the Fourier transform.


Signals and Systems (MIT, Professor Dennis Freeman)
This course covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals.

Signals and Systems (MIT, Professor Alan Oppenheim)
This course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems.

Signals and Systems (IIT Kanpur)
This course is a study of signals and systems, covering topics: formal definition of 'signal' and 'system', continuous and discrete signals, continuous and discrete-time systems, ...

Principles of Signals and Systems (IIT Kanpur)
This course is introduces the fundamental principles of signals and system analysis. These concepts form the building blocks of modern digital signal processing, communication and control systems.

Discrete Time Signal Processing (IIT Kharagpur)
The major concepts covered include: discrete-time processing of continuous-time signals; sampling rate conversion; discrete time filter design and filter structures, ...

Digital Signal Processing (MIT, Professor Alan Oppenheim)
This course discusses the analysis and representation of discrete-time signal systems, digital filters, and computation of the discrete Fourier transform.

Digital Signal Processing (UC Berkeley)
Instructor: Professor Shimon Michael Lustig. This course introduces skills for analyzing and synthesizing algorithms and systems that process discrete time signals, with emphasis on realization and implementation.

Digital Signal Processing (Rensselaer Polytechnic Institute)
Instructor: Professor Richard Radke. This course provides a comprehensive treatment of the theory, design, and implementation of digital signal processing algorithms.

Digital Signal Processing (UNSW)
Taught by Professor E. Ambikairajah, this course provides an introduction to digital signal processing.

Digital Signal Processing (IIT Delhi)
By Professor S.C. Dutta Roy. Topics cover review of signals and systems, discrete Fourier tran, Z transform, digital filters, IIR design, and FIR design.

Digital Signal Processing (IIT Kharagpur)
Instructor: Prof. T.K. Basu. Discrete Time Signal and System, Frequency Domain Representation of Discrete Signals, z-Transform, Solution of Difference Equation, Tutorial on Discrete Time Signals and their Transforms, ...

Mathematical Methods and Techniques in Signal Processing
This course provides an introduction to the foundations of signal processing, focusing on the mathematical aspects for signal processing.

The Fourier Transform and its Applications
By Professor Brad Osgood. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems.

More Lectures >>