Which Machine Learning Course Is Best For Complete Beginners?

Table of Contents (TOC):

• What Is AI And Machine Learning?
• How Does Machine Learning Work?
• Best Machine Learning Courses For Beginners
  • Basics of Machine Learning Algorithms
  • Executive Diploma in Machine Learning
  • Essentials of Machine Learning
• Conclusion
• Bonus Points

Have you ever wondered how Google Maps can provide you with traffic data? There are even times when the Maps suggest a longer route because the shorter route is jam-packed with vehicles. The genius behind this is actually a few Machine Learning algorithms. If you want to learn ML as a beginner, this article will help you find the right Machine Learning course for you.

But first, let’s understand what ML is and what is its connection to AI.

What Is AI And Machine Learning?

Artificial Intelligence (AI) is the field that uses various advanced technologies to build systems and machines that mimic human intelligence. In comparison, Machine Learning is a part of Artificial Intelligence. ML technology uses algorithms to train machines to learn from data and function independently based on the data received.

The way AI and ML are connected is that Machine Learning is an application of AI and is used in training AI models to function as they are supposed to.

How Does Machine Learning Work?

The Machine Learning system has five main steps:

• Data Collection: Where datasets are collected for the purpose of training the model.
• Data Preprocessing: Next, the data is pre-processed to remove duplicate or missing values.
• Model Training: Then various models are trained and tested to improve the accuracy of the algorithm.
• Model Evaluation: The trained models are evaluated for accuracy and best results.
• Model Deployment: The model is deployed into the real world to test its practical use.

A Machine Learning Basics course will help you better understand these concepts and prepare you for a career in ML.

Best Machine Learning Courses For Beginners

If you are wondering how to learn Machine Learning for free, here are some courses available on UniAthena:

Basics of Machine Learning Algorithms

If you are looking for an online Machine Learning course that gives you a professional certificate you must explore the Basics of Machine Learning Algorithms program on our platform.

Develop your basic skills in Machine Learning in just 4-6 hours for free. This is the perfect course for beginners as it covers the fundamentals of ML and helps set a foundation for further learning. You will be learning about Machine Learning models and algorithms and understand how these algorithms work and help businesses identify risks and opportunities.

Here are some of the concepts you will learn:

• Machine Learning algorithms
• Decision trees
• Conditional Probability & Bayes Theorem
• Naive Bayes Algorithm & Using Numeric Features Concept
• Maximum Likelihood Estimation

Get your certification from CIQ, UK once you complete this course.

Executive Diploma in Machine Learning

Another excellent course in Machine Learning for beginners offered by UniAthena is the Executive Diploma in Machine Learning program. This course will offer you explanations of ML models and algorithms in an easy-to-understand manner.

You will learn Machine Learning from scratch with concepts like input vectors, outputs, and training regimes. You will also get a better understanding of performance evaluation and model selection in just 2-3 weeks of free learning.

Here are some of the concepts you will learn:

• Applications of Machine Learning
• Input Vectors, Outputs & Training Regimes
• Noise & Performance Evaluation
• Model Selection & Dimensionality Reduction
• Hypothesis Space & Inductive Bias Ordering of Hypothesis

Essentials of Machine Learning

You could also get your certification for Machine Learning from CIQ, UK from the Essentials of Machine Learning program. You will learn through examples and get a better understanding of Machine Learning applications. 

This Machine Learning course will help you learn ML concepts like modelling and designing in a matter of 6-9 hours. The concepts you learn will help set a foundation for further learning in the field.

Here are some of the concepts you will learn:

• Concept of Machine Learning
• Applications of Machine Learning
• Input Vectors, Outputs & Training Regimes
• Hypothesis Space & Inductive Bias Ordering of Hypothesis
• Evaluation of Classifiers

Conclusion

Machine Learning is used in so many industries today. From finance to media and entertainment, you will be able to find successful career opportunities in ML almost everywhere. 

Our Machine Learning Basics course will help you learn the foundational concepts of ML and AI. These will help you in your work as well as make you better informed going into a Machine Learning degree program. So explore these free courses now!

Bonus Points:

• Before getting started with online Machine Learning courses, you must build a strong foundation of basic Math and Computer Science fundamentals.
• Machine Learning and Artificial Intelligence go hand in hand, so getting into an AI course will also help you in your career.
• Learning about Machine Learning is not enough. Get some experience in the field and learn Python.