Use skills learnt in C++ to build efficient models
About This Video
Machine Learning is a field of Computer Science that involves the use of various methods for pattern recognition and computational learning from data sources. This tutorial will introduce you to the fundamentals of Machine Learning and show you how you can utilize your C++ skills to build efficient data models.
We start by discussing the suitability of different algorithms for different situations; this often involves inspecting data and then making an informed decision based on prior experience and knowledge. We will then implement popular supervised and unsupervised machine learning algorithms in C++ with the help of practical examples. The coursealso includes videos on tuning and optimizing the model for different use cases, and a quick introduction to neural networks and deep learning.
During the course of this tutorial, you will work with different types of C++ library used for Machine Learning—such as mlpack, Shark, and so on—to solve different kinds of problem. By the end, you will be able to efficiently extend your knowledge of C++ to build a solid foundation in the field of Machine Learning.
All the code and supporting materials for this course will be available at - https://github.com/PacktPublishing/Machine-Learning-with-C-Choosing-the-Right-Algorithm