Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
-
Updated
Feb 4, 2022
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks
Repo of HackerRank Probability & Statistics - Foundations Challenges
Probability and Statistics - R Manual
Statistics Cheatsheets
R and Python scripts for my Summer 2021 undegraduate research project on Chain Event Graphs as part of the URSS scheme
Formula Sheet for Ph.D Qualifying Exams in Probability and Stochastic Processes
微信公众号:人工智能大讲堂,专注人工智能底层数学原理与应用,专栏包括线性代数,概率统计,机器学习,深度学习
This repository contains guided projects from Dataquest's Data Analysis in Python path.
This is the project for the course "Probability and Statistics" which was created in the framework of the Advanced Master's Degree in High Performance Computing and Artificial Intelligence in Mines Paris - PSL.
Data analysis on gandum dataset using probability and statistics knowledge. Analyzed using python and pandas.
In this project, a comprehensive analysis of the Android application market was carried out by comparing more than ten thousand applications on Google Play in different categories. Insights were sought from the data to design strategies that drive growth and retention. Data for this project was pulled from the Google Play website.
The programming part for the second assignment of the course DSC 531 - Statistical Simulations and Data Analysis of the University of Cyprus MSc in Data Science programme
In this project, we're going to build a spam filter for SMS messages using the multinomial Naive Bayes algorithm. Our goal is to write a program that classifies new messages with an accuracy greater than 80% — so we expect that more than 80% of the new messages will be classified correctly as spam or ham (non-spam). Please watch the follow youtu…
Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world where groundbreaking work is published. In this Project, I will analyze a large collection of NIPS research papers from the past decade to discover the latest trends in machine learning.
Essential Books for Computer Science
Pandas + Bayesian Statistics - to see if left-handed people actually die earlier than righties.
Do Left-handed People Really Die Young? In this project,I will explore this phenomenon using age distribution data to see if we can reproduce a difference in average age at death purely from the changing rates of left-handedness over time, refuting the claim of early death for left-handers.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Markov chains and Parameter estimation. P&S 3rd Lab assignment
Add a description, image, and links to the probability-and-statistics topic page so that developers can more easily learn about it.
To associate your repository with the probability-and-statistics topic, visit your repo's landing page and select "manage topics."