Course details
Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This video will teach you all it takes to perform complex statistical computations required for Machine Learning. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. We will discuss the application of frequently used algorithms on… + Read More
Course details
Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This video will teach you all it takes to perform complex statistical computations required for Machine Learning. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. We will discuss the application of frequently used algorithms on various domain problems, using both Python and R programming. We will use libraries such as scikit-learn, NumPy, random Forest and so on. By the end of the course, you will have mastered the required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problem.
About the Author
Pratap Dangeti develops machine learning & deep learning solutions for structured, images & text data at leading software industry in Bangalore. He got rich experience in both analytics & data science .He received his Masters degree from IIT Bombay in Industrial Engineering & Operations Research Program. He is Artificial Intelligence enthusiast, in leisure times he likes to read next gen technologies & innovative methodologies to help humanity with day to day life.
Updated on 14 November, 2018 - Read Less
