From PDE to Machine Learning; From Academia to
Author : faustina-dinatale | Published Date : 2025-05-17
Description: From PDE to Machine Learning From Academia to Industry KoShin Chen University of Connecticut Outline Background and Motivation Building Skills Online coursesresources Bootcamps Looking for Industry Jobs Resume Job search sites All About
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From PDE to Machine Learning; From Academia to Industry Ko-Shin Chen University of Connecticut Outline Background and Motivation Building Skills Online courses/resources Bootcamps Looking for Industry Jobs Resume Job search sites All About Interview Preparation resources Procedures and experiences Online Courses and Resources Courses Coursera: https://www.coursera.org/ (verified certificate) Single course/ Specialization (series of courses + capstone project) edX: https://www.edx.org/ (verified certificate) Udemy: https://www.udemy.com/ Online degrees UIUC CS/DS (via Coursera) Georgia Tech OMS CS Free resources MIT Open Course: https://ocw.mit.edu/index.htm YouTube Learning Path of ML Basic Coding Skills (Coursera) An Introduction to Interactive Programming in Python 1,2 Principles of Computing 1,2 Algorithmic Thinking 1,2 Object Oriented Programming in Java Data structures: Measuring and Optimizing Performance Advanced Data Structures in Java R Programming Getting and Cleaning Data (R) Machine Learning by Andrew Ng (MatLab) Inferential Statistics Fundamentals of Computing Java Programming: Object-Oriented Design of Data Structures Learning Path of ML Machine Learning Background Knowledge Videos Machine Learning Foundations by Hsuan-Tien Lin (YouTube) Machine Learning Techniques by Hsuan-Tien Lin (YouTube) MIT 6.S094: Deep Learning for Self-Driving Cars (https://selfdrivingcars.mit.edu/) Books Numerical Optimization by Jorge Nocedal and Stephen J. Wright The Elements of Statistical Learning by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie Learning Path of ML Techniques Online Courses Functional Programming in Scala Specialization (Coursera) Complete Guide to TensorFlow for Deep Learning with Python (Udemy) SQL Advanced (Udemy) UConn: CSE 5304-001 High-Performance Computing Conferences Neural Information Processing Systems (NIPS) Knowledge Discovery and Data Mining (SIGKDD) International Conference on Machine Learning (ICML) Bootcamps (Data Science) Insight Data Science/ Data Engineering/ Health Data/ AI/ Data PM (new) Postdoctoral training Locations: Silicon Valley, New York, Boston, Seattle, and Remote 7 weeks The Data Incubator (Data Science Fellowship) Master and PhD Locations: New York City, San Francisco Bay Area, Seattle, Boston, and Washington DC 8 weeks Must intend to get hired full-time after the program Resume Styles: academic positions v.s. industry jobs Additional Elements GitHub: sample code/ projects Linkedin: build network with recruiters Sits for Job Search Indeed: https://www.indeed.com/ Monster: https://www.monster.com/ See what your resume looks like in application tracking system AngelList (startup): https://angel.co/ Flexjobs (remote jobs): https://www.flexjobs.com/ Prepare for an Interview Books Cracking the Coding Interview by Gayle Laakmann McDowell Cracking the PM Interview by Gayle Laakmann McDowell Coding Practice LeetCode: https://leetcode.com/ HackerRank: https://www.hackerrank.com/ Pramp: https://www.pramp.com/ Company Research Culture, mission, and values Clients, products, and services The team and person interviewing you The Interview Process HR
