Mathematics for Data Science - Essential Math for Machine Learning
Offered By: Great Learning via YouTube
Course Description
Overview
Explore essential mathematics for data science and machine learning in this comprehensive video tutorial. Delve into probability, statistics, machine learning, deep learning, and model performance optimization through practical case studies on house price prediction and COVID-19 analysis. Learn about the crucial skills required for data scientists, important steps in the data science process, and gain insights into the mathematical foundations necessary for success in the field. Discover how to approach business problems quantitatively and understand the impact of mathematical concepts on machine learning algorithm selection and model effectiveness. Perfect for beginners and those looking to strengthen their mathematical background in data science.
Syllabus
Agenda.
What is Data Science?.
Skills required to become a Data Scientist.
Case Study: Predict House Prices.
Case Study: Lockdown Impact on COVID-19 Spread.
Case study: COVID-19 Positive Rate Analysis.
Case Study: COVID-19 Detction.
Important steps in Data Science.
Probability & Statistics.
Machine Learning.
Deep Learning.
Model Performance Optimization.
Summary.
Taught by
Great Learning
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX