This course is an introduction to probability as a language and set of tools for understanding statistics, science, risk, and randomness. The ideas and methods are useful in s
This course is focused on the question: How do we do matrix computations with acceptable speed and acceptable accuracy? The course is taught in Python with Jupyter Notebooks,
Welcome to the new 2018 edition of fast.ai's second 7 week course, Cutting Edge Deep Learning For Coders, Part 2, where you'll learn the latest developments in deep learnin
Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down.This 7-week course is designed for anyone with at least
Learn the most important machine learning models, including how to create them yourself from scratch, as well as key skills in data preparation, model validation, and building
This course covers the fundamental principles underlying cryo-electron microscopy starting with the basic anatomy of electron microscopes, an introduction to Fourier transform
This is an introductory course by Caltech Professor Yaser Abu-Mostafa on machine learning that covers the basic theory, algorithms, and applications. Machine learning (ML) ena
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a t
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of
Probability and statistics: Joint and conditional probabilities and densities. Moments, cumulants, generating functions, characteristic function. Binomial, Poisson, Gaussian d
Introduction Micro to Nano A Journey into Intergrated Circuit Technology - Crystal Properties and Silico Growth - IC Fab Labs and Fabrication of IC - Diffusion - Solid State D
Creating a New Project - Queue and Crawled Files - Adding and Deleting Links - Speeding Up the Crawler - Parsing HTML - Finding Links - Spider Concept - Creating the Spider -
Introduction to Ethical Theories:Consequentialist and Non-consequentialist theories - Hedonism - Utilitarianism - Deontological theories (with reference to Immanuel Kant) - Et
CMOS VLSI Design for Power and Speed consideration :Historical Perspective and Future Trends in CMOS VLSI Circuit and System Design - Logical Effort - A way of Designing Fast
Introduction:Data Mining, Data Assimilation, Inverse problems and Prediction - Static vs. dynamic and deterministic vs. stochastic problems- formulation & classification;Mathe
Introduction to the course: Relevance of advanced characterization to materials development, scientific understanding of phenomena in materials technology - Advanced Diffracti
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