Alexa Echo, Amazon’s innovative drone Prime Air, and their amazing retail experience Amazon Go are just the tip of the iceberg. Machine learning is on the brink of new adventures, and is among the most sought after sectors for intelligent professionals today. Based on the premise that systems can sort out information from data, identify patterns and make informed decisions without explicit human intervention, machine learning is poised to reinvent our lives as we know it.
KnowledgeHut brings you a comprehensive course that will help you go from basic to advanced concepts in Machine Learning using R, the language that was built by statisticians, for statisticians. Learn to build systems that learn from experience, and exploit data to create simple predictive models of the world. Machine Learning with R looks into Supervised vs Unsupervised Learning, the ways in which Statistical Modeling relates to Machine Learning, and carries out a comparison of each using R libraries. You will master not only the theory but also see how it is applied in the industry by learning to build predictive models using Machine Learning techniques.
Machine Learning is immensely exciting and creative, and those who have a deep understanding of this smart technology are well equipped to embark on one of the most lucrative careers of this age. Get started on creating innovation that is powered by new-age thinking; become a part of the Machine Learning revolution today!
Understand the behavior of data as you build significant models
Learn about the various libraries offered by R to manipulate, preprocess and visualize data
Supervised, Unsupervised Machine Learning and relation of statistical modelling to machine learning
Learn to use optimization techniques to find the minimum error in your machine learning model
Learn various machine learning algorithms like KNN, Decision Trees, SVM, Clustering in detail
Implement algorithms and R libraries such as CRAN-R in real world scenarios
Learn the technique to reduce the number of variables using Feature Selection and Feature Extraction
Learn to use multiple learning algorithms to obtain better predictive performance
Learn to implement Association Rule. Use Apriori Algorithm to find associations with key metrics
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the training.
Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.