Fundamentals of AI Research.

This video offers an in-depth introduction to Artificial Intelligence (AI), exploring its origins, real-world applications, core concepts, and major subfields like machine learning and natural language processing.

🔍 What’s Inside:

• Introduction to AI: Kicks off with a clear definition of AI and an outline of the topics covered throughout the video.

• A Brief History: Traces the roots of AI back to ancient mythology and the evolution of the idea through time, leading up to modern innovations.

• Why AI Matters Now: Discusses the current rise in AI interest and why now is a pivotal moment in its development.

• Understanding AI: Breaks down foundational AI concepts, including what AI really means and how it differs from other technologies.

• AI in Action: Highlights real-world use cases across industries, featuring examples like IBM Watson's impact in healthcare.

• Core AI Components: Covers types of AI, essential programming languages (with a spotlight on Python), and gives a beginner-friendly intro to Python itself.

• Machine Learning (ML): Delves into ML fundamentals—different types of algorithms, data handling, model training/testing, evaluation, optimization, and real-world problem solving.

• Deep Learning: Explains concepts like neurons, perceptrons, neural networks, backpropagation, and includes hands-on demos of deep learning in practice.

• Natural Language Processing (NLP): Introduces text mining, common NLP terms, and practical Python implementations for language-based AI.

• Learning Path: Introduces a Machine Learning Engineer Masters Program, detailing its curriculum (Python, ML, DL, etc.), and mentions free self-paced courses in Python scripting and statistics.

• Wrap-Up: Ends with a recap of key topics and an invitation for viewers to explore further and stay engaged.