If you're looking for an AI and machine learning course that will provide you with a comprehensive understanding of the fundamentals, then look no further than Long Nguyen's Artificial Intelligence & Machine Learning from scratch course. With a 4.42 rating out of 5 and 123 reviews, this course is designed to give you the background you need to understand the core methodologies in AI, such as machine learning, deep learning, fuzzy logic, and evolutionary computation.
Comprehensive Fundamentals
Unlike many other AI courses, which may teach you how to develop AI applications in just a few lines of code, this course takes you through the basics of AI from scratch. You'll learn the most fundamental AI algorithms step-by-step and be guided through many coding assignments that focus on real-world problems such as handwritten digits recognition, customer segmentation, house price prediction, and customer churn prediction.
With a PhD in AI from France, Long Nguyen is an experienced instructor who has worked hard to develop this course and ensure that it covers the core concepts you need to understand AI fully. With his help, you'll develop a deep understanding and be able to implement the most important methodologies in AI.
MACHINE LEARNING and Deep Learning
Machine learning and deep learning are two of the most important methodologies in AI, and this course covers them extensively. You'll learn the basics of machine learning, including different types of algorithms and how to evaluate them. You'll also get an in-depth introduction to deep learning, including convolutional neural networks and recurrent neural networks.
The course is designed to give you hands-on experience in both machine learning and deep learning. You'll work on practical, real-world coding assignments that give you the opportunity to apply what you've learned in a practical setting.
Fuzzy Logic and Evolutionary Computation
In addition to machine learning and deep learning, this course also covers fuzzy logic and evolutionary computation. These methodologies are important tools in AI, and you'll learn how to use them to solve complex problems.
Fuzzy logic is a powerful approach to dealing with uncertainty in AI. Through this course, you'll learn how to use fuzzy logic to make decisions in situations where there is considerable uncertainty. Evolutionary computation, on the other hand, is a methodology that is based on the process of natural selection. You'll learn how to use evolutionary computation to solve optimization problems, such as those that arise in machine learning and deep learning.
Real-World Applications
One of the strengths of this course is its focus on real-world applications. You'll work on practical coding assignments that will help you develop the skills you need to apply AI in real-world situations.
For example, you'll work on a handwriting recognition problem that involves recognizing handwritten digits. You'll also work on customer segmentation, which is used in marketing to identify different groups of customers that may have different needs. You'll even get the chance to work on a customer churn prediction problem, which involves predicting when customers are likely to churn, or switch to a competitor.
The Verdict
If you're looking for a comprehensive, hands-on AI and machine learning course that will give you the skills you need to use AI in real-world situations, then Long Nguyen's Artificial Intelligence & Machine Learning from scratch course is an excellent choice. With expert instruction, hands-on coding assignments, and a focus on real-world applications, this course is sure to help you develop the skills you need to succeed in the field of AI.
