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Statistical optimization for AI and machine learning
My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.
AltairCare is a machine learning/deep learning web app for disease diagnosis and prediction
This is a repo for the Tanzania AI lab hackathon 2020 & the AI4Dev2020 challenge, where we as the Elixir team created the 1st AI based cancer diagnosis system, built a model comprising of Deep Conv…
Automated pipeline for Multi-Variate Time Series AI in medical longitudinal analysis, following FAIRness principle.
Given DNA Interacting residues, we have created model using various machine learning techniques to predict whether it is protine contained DNA or not.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …
This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.
Literature & Resource Collection for AI/ML in Healthcare and Medicine.
Machine learning projects applied to healthcare
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for-medicine)
R code to produce Demographic and Health Survey Indicators
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Algorithmic game theory, recursive macroeconomics, machine learning for econometrics
Produces numerical solution for integral equations of the type Z(t)=z(t) + \int_0^t f(y, Z(t-y)) dG(y).
A tutorial for R programming language at basic and advanced levels, and its application in data transformation, statistical computing, time series analysis, data mining, financial computing, etc.
🎓 A collection of interactive courses for the swirl R package.
Slides for Intro Stats using OpenIntro Textbook
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
10 Weeks, 20 Lessons, Data Science for All!
MATH2750 Introduction to Markov Processes (University of Leeds)
Source code for the book, Math for Programmers
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.