Artificial Intelligence and Machine Learning Fundamentals

Categories: AI
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About Course

The Artificial Intelligence and Machine Learning Fundamentals course provides an introduction to the basics of AI and ML for a broad range of learners. The course covers topics such as data preparation and exploration, model building, and evaluation. Learners will gain a solid foundation in the principles and practices of AI and ML, as well as hands-on experience with building and evaluating models using popular tools and frameworks. By the end of the course, learners will be able to apply their newly acquired skills to real-world problems in a variety of fields, from finance and healthcare to marketing and social media. Whether you are a student, professional, entrepreneur, or researcher, this course will provide you with the knowledge and skills you need to succeed in the exciting and rapidly evolving field of AI and ML.

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What Will You Learn?

  • Understand the importance, principles, and fields of AI
  • Learn to implement basic artificial intelligence concepts with Python
  • Apply regression and classification concepts to real-world problems
  • Perform predictive analysis using decision trees and random forests
  • Perform clustering using the k-means and mean shift algorithms
  • Understand the fundamentals of deep learning via practical examples

Course Content

Principles of AI

  • What is AI and Machine Learning?
    00:00
  • How Does AI Solve Real World Problems?
    00:00
  • Fields and Applications of Artificial Intelligence
    00:00
  • AI Tools and Learning Models
    00:00
  • The Role of Python in Artificial Intelligence
    00:00
  • A Brief Introduction to the NumPy Library
    00:00
  • Python for Game AI
    00:00
  • Breadth First Search and Depth First Search
    00:00
  • Principles of AI

AI With Search Techniques and Games

Regression

Classification

Using Trees For Predictive Analysis

Clustering

Deep Learning with Neural Networks

Final Exam

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