Get Udemy Coupon Free For Machine Learning – MASTER Degree Course
Machine Learning (MASTER Degree)
Machine Learning (ML) is one of the fastest growing areas of science. It is largely responsible for the rise of giant data companies such as Google, and it has been central to the development of lucrative products, such as Microsoft’s Kinect, Amazon’s recommender system, the spam detection systems of Facebook, and the advertising engines of these and many other companies. ML is the key enabling technology behind face detection in consumer cameras, news personalization, book and movie recommender systems, image and video search, credit card fraud detection, speech recognition systems, and many more applications that most people have begun to take for granted. ML has also begun to make it possible to have automatically-driven cars, more efficient energy management systems, and improved systems for health-care management.
Academically, ML is one of the fastest growing fields in all fronts: Theory, methodology and application. ML for historical reasons is strongly connected to computer science and statistics departments in North America. However, it is also revolutionizing biology, astrophysics, engineering, and all other areas of science. ML innovations, such as boosting and SVMs among others, have strongly impacted statistics in recent years, and the interplay of statistics and ML has left us with tools such as random forests (a key component of the kinect sensor). Tools from bandits and reinforcement learning are impacting operations research in business and health-care.Introduction to machine learning. Linear prediction. Maximum likelihood and linear prediction. Ridge, nonlinear regression with basis functions and Cross-validation. Bayesian learning Gaussian processes for nonlinear regression Bayesian optimization, Thompson sampling and bandits. Decision trees. Random forests. Spring break. Random forests applications: Object detection and Kinect. Unconstrained optimization: Gradient descent and Newton’s method. Logistic regression, IRLS and importance sampling. Neural networks. Deep learning with autoencoders. Importance sampling and MCMC. Constrained optimization, Lagrangians and duality. Application to penalized maximum likelihood and Lasso.
Who this course is for:If you have no prior coding or scripting experience, you can also attend this lesson. Anyone who interest Data Science Anyone who interest how deep learning really works Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
WHAT WILL YOU LEARN IN THIS COURSE:
NOTE:All Udemy promo codes and discounts for today listed here are specially reviewed and tested to make sure you get the best working deals for online courses. 100% Off Udemy coupons and free Udemy courses added daily, Visit This page : Udemy Coupons Codes For Today every days and get your coupons for the best courses on udemy platform before they expire! We are always first to provide fresh Udemy Courses deals for you! each Udemy coupon code is valid and ready to be used to save on all courses.
What are you waiting for? Browse through the list of latest Udemy coupons
We do our best to get you the best promotions on every course that is offered on Udemy Platform, But sometimes the owners of these courses Eliminate the Promotions/Coupons That means the coupon codes will expire and no longer work. We will updates these coupon codes according to the course’s owners, so if it didn’t work that means you have to purchase the course or wait when the owners set it up for promotions again.Machine Learning – MASTER Degree – This Course is Free For Limited Time
ALL THE LINKS:
TAKE THE COURSE FREE[Get URL Coupon]
IF YOU FIND THIS COURSE USEFUL AND HELPFUL PLEASE GO AHEAD SHARE THE KNOWLEDGE WITH YOUR FRIENDS WHILE THE COURSE IS STILL AVAILABLE