Machine Learning, or automated learning, is a branch of artificial intelligence that is responsible for teaching machines to learn on their own.
Its popularity has increased in recent years, and today it is a highly sought-after skill in the job market.
It is important to mention that Machine Learning is used in a wide range of industries, from medicine to banking, passing through the entertainment industry and e-commerce. Therefore, learning Machine Learning can open many doors for you and offer you a large number of job opportunities.
If you are interested in acquiring this skill, we bring you excellent news: a free introductory course on Machine Learning for programmers.
In this course, you will learn the most important models of automated learning, including how to create them from scratch, key skills in data preparation, model validation, and data product creation.
The course consists of around 24 hours of lessons and it is estimated that you should dedicate around 8 hours per week for 12 weeks to complete all the material.
It is important to note that this course is based on lessons recorded at the University of San Francisco for the Master of Science in Data Science program.
To take this course, it is necessary that you have at least one year of experience in programming and remember what you learned in mathematics in high school or be prepared to do independent study to update your knowledge.
In this course, you will have the opportunity to learn in a practical way and apply the knowledge acquired in real projects.
If you are passionate about technology and want to learn new skills, do not hesitate to register for this free introductory course on Machine Learning for programmers.
Take advantage of this unique opportunity and learn a valuable skill that will open many doors for you! Access the course using this link.
