Machine learning and predictive analytics are becoming one
of the key strategies for unlocking growth in a challenging contemporary
marketplace. It is one of the fastest growing trends in modern
computing, and everyone wants to get into the field of machine learning.
In order to obtain sufficient recognition in this field, one must be
able to understand and design a machine learning system that serves the
needs of a project.
The idea is to prepare a learning path that will help you to tackle
the real-world complexities of modern machine learning with innovative
and cutting-edge techniques. Also, it will give you a solid foundation
in the machine learning design process, and enable you to build
customized machine learning models to solve unique problems.
The course begins with getting your Python fundamentals nailed down.
It focuses on answering the right questions that cove a wide range of
powerful Python libraries, including scikit-learn Theano and Keras.After
getting familiar with Python core concepts, it’s time to dive into the
field of data science. You will further gain a solid foundation on the
machine learning design and also learn to customize models for solving
problems.
At a later stage, you will get a grip on more advanced techniques and
acquire a broad set of powerful skills in the area of feature selection
and feature engineering.
