THE FUTURE IS HERE

Artificial Intelligence vs Machine Learning | Key Differences between AI and ML | Scaler Academy

Dave Waters once said predicting the future isn’t magic, its artificial intelligence.When it comes to machine learning, you may have heard of it as a subset of AI, but there is more to it. Join our FREE masterclass: https://bit.ly/3wFnlfd

What is Artificial Intelligence?
Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to natural intelligence displayed by animals including humans. Leading AI textbooks define the field as the study of “intelligent agents”: any system that perceives its environment and takes actions that maximise its chance of achieving its goals.Some popular accounts use the term “artificial intelligence” to describe machines that mimic “cognitive” functions that humans associate with the human mind, such as “learning” and “problem solving”, however, this definition is rejected by major AI researchers.

What is Machine Learning?
Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data.It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

The following discussion will interest you if you are looking forward to picking a career path between the two by deriving a thorough understanding on how these two are different, what roles you can pick in each field and much more.

The following topics are covered in this tutorial:

0:00 – Introduction
1:23 – Difference between AI & ML
3:08 – What is artificial intelligence
4:14 – What is machine learning
5:35 – Skills required for AI & ML
6:30 – Career in AI
9:49 – Career in ML
14:50 – AI vs ML salaries

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