- 25 (Registered)
When : June 6 2020
Course Overview
In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems.offers a brief introduction to the multivariate calculus required to build many common machine learning techniques.how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be.This course is intended to offer an intuitive understanding of calculus,Linear algebra, vectors, statistics and probability
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Course Content
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Mathematics for ML 0/5
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Lecture1.1
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Lecture1.2
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Lecture1.3
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Lecture1.4
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Lecture1.5
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Linear Algebra - Vectors 0/5
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Lecture2.1
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Lecture2.2
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Lecture2.3
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Lecture2.4
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Lecture2.5
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Linear Algebra - Matrices 0/7
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Lecture3.1
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Lecture3.2
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Lecture3.3
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Lecture3.4
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Lecture3.5
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Lecture3.6
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Lecture3.7
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Eigenvalues and Eigenvectors 0/7
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Lecture4.1
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Lecture4.2
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Lecture4.3
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Lecture4.4
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Lecture4.5
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Lecture4.6
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Lecture4.7
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Multivariate Calculus 0/1
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Multivariate Calculus 0/8
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Lecture6.1
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Lecture6.2
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Lecture6.3
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Lecture6.4
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Lecture6.5
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Lecture6.6
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Lecture6.7
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Lecture6.8
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Intro to optimisation 0/5
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Lecture7.1
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Lecture7.2
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Lecture7.3
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Lecture7.4
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Lecture7.5
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Regression 0/4
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Lecture8.1
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Lecture8.2
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Lecture8.3
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Lecture8.4
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Statistics of Datasets 0/5
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Lecture9.1
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Lecture9.2
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Lecture9.3
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Lecture9.4
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Lecture9.5
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Principal Component Analysis 0/6
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Lecture10.1
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Lecture10.2
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Lecture10.3
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Lecture10.4
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Lecture10.5
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Lecture10.6
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Introduction to Probability 0/8
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Lecture11.1
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Lecture11.2
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Lecture11.3
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Lecture11.4
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Lecture11.5
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Lecture11.6
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Lecture11.7
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Lecture11.8
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Probability Distributions 0/5
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Lecture12.1
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Lecture12.2
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Lecture12.3
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Lecture12.4
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Lecture12.5
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Instructor
Arun Panayappan is the Founder of Techcovery Solutions which has been in the training and consulting business for three years now. Arun Panayappan was the Vice President, Platform Engineering at www.goibibo.com which is India’s largest online travel agent. He has over 23 years of IT experience including 4 years of overseas experience.Techcovery has trained over 1000 participants in Data science and mentored 4 start ups during its existence. He has worked as a consulting CTO for companies like cogknit semantics, FirstIPO and Trip38. He is frequently consulted for data science architecture and strategy by corporations across the industry. In his role at Amazon, his technical decision-making skills enabled Kindle Topaz Operations Console to go global and scale seamlessly to meet seasonal load. He drove initiatives to hire and develop the best for the Category Expansions team that doubled in size during his leadership tenure while launching 70 new stores for www.amazon.com every year. He built highly scalable web crawling systems to monitor price changes at competitor sites for millions of products sold by Amazon. This system used statistical machine learning and modeled crawl frequencies using poison distribution. His team built the on-boarding experience of vendor platform(https://vendorexpress.amazon.com) to onboard and manage small and medium size vendors to increase selection and buying options. Prior to joining Amazon, he worked for Kuliza (www.kuliza.com), young start up by ex-Amazon employees, and had served the Research team at Accenture Technology Labs., India. He is an innovative and a tech-savvy leader. He sets a high bar for himself and his team on software design, quality and processes. He has a pleasing personality and excellent communication skills.