Artificial intelligence and machine learning are leading the technical revolution. Those who will master the art of training and developing intelligent machines stand a chance to be ahead of competition tomorrow.

Samatrix offers a certification course in Machine Learning with Python. The course focuses on the fundamentals of machine learning. In this course, we would focus on linear algebra, statistics, python and fundamental of machine learning.

Linear algebra is also called mathematics of data. It is one of the foundation pillars of machine learning. If you want to develop a deep understanding of machine learning especially deep learning algorithms, you should have a good understanding of linear algebra. Sound knowledge in linear algebra will give your better intuition about various machine learning algorithms so that you can design and develop effective learning models.

Statistics is another foundational pillar of machine learning and deep learning. Statistics is a required prerequisite for machine learning. Statistics and machine learning are two tightly related fields. It helps to extract information from observations. In this course, you will learn about descriptive statistics for summarizing data and inferential statistics for extracting conclusions and decisions from the data sample.

Python is one of the most popular programming languages. Today, Python is the top choice among machine learning engineers and data scientists for artificial intelligence, machine learning, and deep learning projects. Python has abundant libraries and framework such as NumPy, Pandas, SciPy, and Scikit-learn that facilitates coding for machine learning and deep learning. Python is concise and known for its simplicity and ease of use. It helps programmers focus on finding solutions instead of focusing on intricacies of coding.