One of the biggest revolutions experienced by the software industry has been artificial intelligence (AI). It is a game-changing technology and a considerable shift in developing software applications. Instead of using hard-coded rules for performing a predefined flow or identifying a pattern, we let the machines learn from data, decipher the complex patterns automatically and then use them for multiple use cases.
There has been a significant increase in the number of AI-powered applications in various practical use cases. For example, websites use AI to better recommend products and services to visitors and image-processing applications use AI to identify objects in pictures and video streams. There are endless practical use cases.
The concept of AI and ML can be intimidating for beginners and specifically for people without any prior background in the complex fields of mathematics and programming. This course will act as a starting point to guide you through the fundamental theoretical concepts of AI and ML. It is important to mention that there are no specific requirements for starting this course and we have designed it for absolute beginners. So what are you waiting for? This course has not been updated with the use of Generative AI models, like ChatGPT.
Some points apply to every course of this kind; see how we rank.
Alison is in Tier 4: commercial training companies and platform-made courses of our institution ranking (50/100). Free to study, paid certificates, quality varies.
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathe…
A curated collection of videos featuring top experts in artificial intelligence.
-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabili…
