See what’s new in the latest release of MATLAB and Simulink: Download a trial: Machine learning is quickly becoming a powerful tool for solving complex modeling problems across a broad range of industries. It is enabling engineers and scientists to develop models which learn from data and can be deployed as a part of packaged applications that can run efficiently on embedded systems as well as cloud infrastructure. The benefits of machine learning are being realized in applications everywhere, including predictive maintenance, health monitoring, financial portfolio forecasting, and advanced driver assistance. However, successfully applying machine learning in practice presents several challenges. It is not always clear which data is going to be the most useful for prediction, and tuning machine learning hyperparameters can consume a large amount of time. In this webinar, you will learn how machine learning tools in MATLAB address these challenges. We will demonstrate: Working with large out-of-memory data using the MATLAB “tall” framework Reducing dimensionality and identifying import features using advanced feature selection techniques Best practices for tuning hyperparameters to optimize the performance of your model How to deploy models for use in production IT systems or embedded devices
** Machine Learning Training with Python: ** This Edureka video on ‘Mathematics for Machine Learning’ teaches you all the math needed to get started with mastering Machine Learning. It teaches you all the necessary topics and concepts of Linear Algebra, Multivariate Calculus, Statistics, and Probability and also dives into the actual implementation of these topics. Blog Link: Check out our playlist for more videos: —————————————————————————— Subscribe to our channel to get video updates: Hit the subscribe button above. Edureka Community: Instagram: Facebook: Twitter: LinkedIn: SlideShare: #Edureka #MachineLearning #MathematicsForMachineLearning # —————————————————————————— How does it work? 1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will be working on a real-time project for which we will provide you with a Grade and a Verifiable Certificate! —————————————————————————— About the Course Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You [More]