ML Fundamentals

Detailed Salary Comparison Between Data Analyst and Data Scientist

TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 11

Kaggle Competition- Dengue or Malaria Prediction Using Transfer Learning VGG19

Pie & AI Medellín: A Discussion with Andrew Ng and Helmuth Trefftz

What is Intelligence? - François Chollet and Lex Fridman | AI Podcast Clips

Yann LeCun: Was HAL 9000 Good or Evil? - Space Odyssey 2001 | AI Podcast Clips

Logistic Regression in Python - Machine Learning From Scratch 03 - Python Tutorial

5 Beginner Friendly Steps to Learn Machine Learning

“Hello, world” from scratch on a 6502 — Part 1

How Backpropagation Works

TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 10

The UNCOL Problem - Computerphile

Introducing convolutional neural networks (ML Zero to Hero - Part 3)

Linear Regression in Python - Machine Learning From Scratch 02 - Python Tutorial

Adversarial Attacks on Neural Networks - Bug or Feature?

Basics of PCA (Principal Component Analysis) : Data Science Concepts

Derivative of a Matrix : Data Science Basics

Applied Deep Learning - Rosanne Liu on AI Research (2019)

Illinois Online Master of Computer Science (& MCS-DS) Admissions Webinar

DEEP LEARNING MEME REVIEW - Episode 1

Basic Computer Vision with ML (ML Zero to Hero - Part 2)

Dynamic Routing Between Capsules

Five Lessons for Team-Oriented Research with Peter Welder (2019)

Salary Comparison Between Data Scientist vs Software Engineer

Kaggle Competition- Predicting PIMA Diabetes Prediction using Machine Learning

Live Q&A Internship Opportunities

François Chollet: Keras, Deep Learning, and the Progress of AI | Lex Fridman Podcast #38

Kaggle Competition- Implement A DNA Classifier using NLP

Kaggle Competition- Predict Stock Price Movement Based On News Headline using NLP

Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299

Statistics-Finding Outliers in Dataset using Z- score and IQR

George Hotz: Winning - A Reinforcement Learning Approach | AI Podcast Clips

Featuring Engineering- How To Handle Ordinal Categories(Ordinal Encoding)

Statistics- What is Pearson Correlation Coefficient? Difference between Correlation and Covariance

Featuring Engineering- Handle Categorical Features Many Categories(Count/Frequency Encoding)

Skills Required To Become A Data Analyst and a Data Scientist

Kaggle Competition- I Used Deep Learning Technique and did the Accuracy Increase? Part 3

So ... What Actually is a Matrix ? : Data Science Basics

Kaggle Competition - House Prices Regression Techniques(Hyperparameter Tuning)-Part 2

Kaggle Competition - House Prices: Advanced Regression Techniques Part1

Various Roles and Responsibilities in Data Science

Live Q&A (Discussion Regarding Upcoming Videos)

DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297

Machine Learning Engineer VS Data Scientist

STATISTICS- Chebyshev's InEquality

STATISTICS- What is Central Limit Theorem?

STATISTICS- Gaussian/ Normal Distribution

Testing and Deployment of Deep Learning Models with Josh Tobin (2019)