Webinar on AI & ML | Peter Belfry | TutorEye | Artificial Intelligence | Machine Learning

Описание: A webinar on Artificial Intelligence and Machine Learning by Peter Belfry, powered by TutorEye.

TutorEye is on a mission of disrupting the education landscape and with the experience of tutoring thousands of learners around the world for thousands of hours, we are on the way to accomplishing our goal very soon.

If you are intrigued about what is happening in the domain of Artificial Intelligence & Machine Learning, we have got news for you,

In this webinar, Peter shows how he uses ML to know the nature of the sentence, whether it is positive or negative.

He also uses Ai to respond appropriately to a user's input much as a human would.

Artificial Intelligence and Machine Learning are parts of computer science and are correlated with each other. These two technologies are the most trending ones.

If you are looking for help to boost your scores in academics, we are here to help you do just that. Log on to https://www.tutoreye.com

Also, do share your valuable suggestions/views at [email protected]

#tutoreye #learnign #tutoringservices #tutoring #onlineclass #edtechteachers #onlinecoaching

Artificial Intelligence – A Brief
Artificial intelligence is a field of computer science that enables the computer system to mimic human intelligence. The two words, ‘artificial’ and ‘intelligence’ clearly indicate “a human-made thinking power.”

Hence, artificial intelligence can be defined as a technology used to create intelligent systems that simulate human intelligence.

An artificial intelligence system doesn’t have to be pre-programmed. Instead, it uses such algorithms which may work with its own intelligence. It involves machine learning algorithms like reinforcement learning and deep learning neural networks. Google’s AlphaGo, Siri, online Chess- all use AI.


Machine learning– A Brief

Machine learning is about extracting knowledge from the info.

It is a subfield of AI which enables machines to draw conclusions from past data or experiences without being explicitly programmed.

ML uses large volumes of structured and semi-structured data to deduce accurate results while forming predictions. The algorithms on which ML works on, learn on their own using historical data.

One thing to be noted here is that ML can work for specific domains only. If a model is created to detect pictures of dogs, it will only show results for dog images. Offering any other replacement data, like a cat, will make it unresponsive.

Machine learning is being used in places like online recommender systems, Google search algorithms, email spam filters, facebook auto friend tagging suggestions, etc.

Fascinated by the magic AI and ML exhibit?

Become a future-ready AI professional. Upscale with TutorEye to launch your AI career!