AI News, What is the difference between Machine Learning and Artificial Intelligence?
- On Sunday, September 30, 2018
- By Read More
What is the difference between Machine Learning and Artificial Intelligence?
Artificial Intelligence and Machine Learning are two terms related to the world of computer science that can be heard a lot these days.
Be it medical sciences, meteorology, robotics, understanding customer perspectives or scientific developments;
these fields are offering an excellent way to move forward without letting technology stagnate.
At an Artificial Intelligence Conference that was held in Dartmouth, 1956, it was described that every aspect of learning or any feature of intelligence that can be simulated in a machine could be described as Artificial Intelligence.
If you take instances, Artificial Intelligence could refer to the ability of a computer program to play a game of chess.
This technology is sometimes classified into three different groups - Narrow AI, artificial general intelligence (AGI) and superintelligent AI.
They would be smarter than the best human beings in every possible field and would act as a superior mind.
Machine Learning Machine Learning is just a subset of AI, where the core notion is that the machine would be able to take data and learn for them without human intervention.
The ML systems would be quickly able to apply the knowledge from the large training datasets to speech or facial recognition, translation, object recognition and other similar tasks.
- On Thursday, September 19, 2019
Machine Learning - A New Programming Paradigm
In this video from RedHat Summit 2018, Cassie Kozyrkov demystifies machine learning and AI. She describes how they're simply a different way to program ...
What is machine learning (ML) & how it works? Is ML over rated? Difference between AI & ML
In the early 20th century, people did everything for other people. Transportation, banking, cooking, everything was done mechanically, with tools. A few years ...
Can we build AI without losing control over it? | Sam Harris
Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris -- and not just in some theoretical way. We're going to build ...
Gradient descent, how neural networks learn | Deep learning, chapter 2
Subscribe for more (part 3 will be on backpropagation): Funding provided by Amplify Partners and viewers like you
Infuse Your Business with Machine Learning (Google Cloud Next '17)
With machine learning, instead of programming a computer, you teach a computer to learn something and it does what you direct it to do. In this video, Lak ...
How AI can save our humanity | Kai-Fu Lee
AI is massively transforming our world, but there's one thing it cannot do: love. In a visionary talk, computer scientist Kai-Fu Lee details how the US and China ...
How good is your fit? - Ep. 21 (Deep Learning SIMPLIFIED)
A good model follows the “Goldilocks” principle in terms of data fitting. Models that underfit data will have poor accuracy, while models that overfit data will fail to ...
17. Learning: Boosting
MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: Instructor: Patrick Winston Can multiple weak classifiers be ..
Learning Technology & Machine Learning (Google Cloud Next '17)
In this talk, Jonathan Rochelle provides a history lesson of how humans taught machines to be intelligent. He then applies those same concepts to how humans ...
11. Introduction to Machine Learning
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: Instructor: Eric Grimson ..