The future is powered by data, and Machine Learning (ML) is revolutionizing how we access and analyze large amounts of data. According to Gartner, ML will penetrate even more business fields in the next five years, increasing efficiency and improving work security. Furthermore, Goldman Sachs predicts that AI and ML will automate up to 300 million jobs in the United States and Europe by 2026, while simultaneously creating 97 million new roles that require advanced technical skills.
This course focuses on practical aspects of Machine Learning, including Python programming and a broad range of algorithms for both supervised and unsupervised learning. It also explores the latest applications of ML, such as recommendation systems, email spam detection, stock market prediction, and sentiment analysis—a technique used to determine the sentiment or opinion expressed in a given text.
By the end of this course, you will gain hands-on experience and learn how to quickly apply these techniques to solve real-world problems.
This course is ideal for individuals with a basic understanding of probabilities, statistics, and algebra. It is designed for those who already have a foundation in IT programming (particularly in Python) and are eager to leverage Machine Learning tools to create value for businesses.
The training content will cover the following key topics:
You can apply for our training program at: e.ictkosovo.eu