Computational Statistics: Feature Selection, Regularization, and Shrinkage with MATLAB

Lecture 1: Introduction and Optimization Problems | Introduction to Computational Thinking and Data Science | Electrical Engineering and Computer Science | MIT OpenCourseWare

Lecture 1: Introduction to Statistics | Statistics for Applications | Mathematics | MIT OpenCourseWare

Data Science vs. Computer Science: What’s the Difference? | Built In

Descriptive Statistics: Definition, Overview, Types, and Examples

Statistics for Data Science — a Complete Guide for Aspiring ML Practitioners

Instagram

Princy | Career Mentor & AI Marketer on Instagram: "Share to your bio maths frds🙌🏻 1. **Bioinformatics Scientist**: - Education: Bachelor's degree in bioinformatics, computational biology, biology, mathematics, computer science, or a related field. Advanced degrees (Master's or Ph.D.) are often preferred for senior positions. - Skills: Proficiency in programming languages such as Python, R, or Perl, knowledge of biological databases and algorithms, understanding of molecular biology and geneti