Instructional Video3:49
Curated Video

Project Based Learning

Higher Ed
Project-Based Learning is a method that involves students in a long-term in-depth investigation of a real world challenge. Instead of raw memorization of facts or following instructions that present a smooth path to knowledge, students...
Podcast1:19:34
NASA

‎NASA in Silicon Valley: Air Taxis and the Future of Flight

Pre-K - Higher Ed
In this episode streamed on Dec. 19, 2019, we talk about air taxis and the future of flight.
Instructional Video14:24
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Coordinates Versus Dimensions

Higher Ed
In this video, we will cover coordinates versus dimensions. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video3:58
Mr. Beat

The American Presidential Election of 1820

6th - 12th
The ninth episode in a very long series about the American presidential elections from 1788 to the present. I hope to have them done by Election Day 2016. In 1820, James Monroe is so popular that no one runs against him for President....
Instructional Video52:11
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Project Bayes Classifier: Project Bayes Classifier from Scratch

Higher Ed
In this video, we will cover project Bayes Classifier from scratch. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video8:40
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Similarity Based Methods Introduction

Higher Ed
In this video, we will cover similarity based methods introduction. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...
Instructional Video11:42
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Similarity Based Methods Criteria

Higher Ed
In this video, we will cover similarity based methods criteria. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video10:09
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - String in Python: String Escape Sequences

Higher Ed
In this video, we will cover string escape sequences. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Instructional Video7:10
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - SAS Syntax

Higher Ed
The author will describe what rules to follow to make sure you can communicate with the compiler that makes sense of SAS code. This clip is from the chapter "SAS Syntax, Data Step Versus Proc Step, SAS Compared to R/Python" of the series...
Instructional Video5:37
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Python Useful function: Python Function- Round

Higher Ed
In this video, we will cover Python function- round. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Instructional Video5:49
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Unsupervised Learning

Higher Ed
In this video, we will cover unsupervised learning. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Instructional Video9:29
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Loading and Understanding the Environment

Higher Ed
This video explains about loading and understanding the environment. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...
Instructional Video4:24
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Installation of Anaconda and IPython Shell: Installing Python and Jupyter Anaconda

Higher Ed
In this video, we will be installing Python and Jupyter Anaconda. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A...
Instructional Video8:06
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Function and Module in Python: Variable Number of Input Arguments as Dictionary

Higher Ed
In this video, we will cover variable number of input arguments as dictionary. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory...
Instructional Video9:44
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Function and Module in Python: Multiple Input Arguments

Higher Ed
In this video, we will cover multiple input arguments. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Instructional Video8:53
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Function and Module in Python: Input Arguments

Higher Ed
In this video, we will cover input arguments. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Instructional Video58:02
Curated Video

Fundamentals of Machine Learning - Deep Learning

Higher Ed
This video introduces you to deep learning, artificial neural networks, recurrent neural networks, and more. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
Instructional Video2:37
Curated Video

Rocking Out With Photoshop - How to Straighten and Crop an Image in Photoshop

Pre-K - Higher Ed
A crroked image can be fixed. In this video, Mark will show you how to straighten a crooked image and then crop it in Photoshop.
Instructional Video12:46
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas Merge

Higher Ed
In this video, we will cover Pandas Merge. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Instructional Video9:02
Curated Video

Fundamentals of Machine Learning - Introduction

Higher Ed
This video explains a brief history of where machine learning started. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...
Instructional Video4:33
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Clustering

Higher Ed
In this video, we will cover clustering. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Instructional Video12:00
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Vanishing Gradients in RNN: GRU

Higher Ed
In this video, we will cover GRU. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover deep...
Instructional Video3:55
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Fixed Length Memory Model Exercise Solution Part 02

Higher Ed
In this video, we will cover fixed length memory model exercise solution part 02. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Instructional Video5:13
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Filter Methods

Higher Ed
In this video, we will cover filter methods. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...

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