What is a Precision Recall Curve and How is it Used for Machine Learning?
Why it matters: A precision recall curve is a graphical representation of the trade-off between the precision and recall of a classification algorithm.
Satish Rao
Satish Rao is an entrepreneur, technology and business leader passionate about building companies using digital strategies and processes. He currently runs Credos Talent, a talent consulting firm focused on helping partners with their talent acquisition strategies and finding the best technical talent. He has experience running global delivery teams, managing digital transformation initiatives, executing service excellence programs, setting up multiple practices/CoE and creating a high performance organization via talent management including talent acquisition & strategy and learning & development. He is a data science, machine learning and AI enthusiast, looking to teach complex concepts in an easier way. Satish holds an MBA from Babson College.
What is Reverse ETL (Extract, Transform, and Load) and What is it Used For?
Why it matters: Reverse ETL is a process where data from a data warehouse or data lake is transferred back to operational systems.
What are Orthonormal Vectors? How are they used in Machine Learning?
Why it matters: Orthonormal vectors are a set of vectors that are both orthogonal (perpendicular) to each other and have a unit length (norm) of 1.
Adversarial Attacks in Machine Learning: What They Are and How to Defend Against Them
Why it matters: How to defend against adversarial attacks in machine learning? Let us learn about evasion of adversarial attacks in ML.