Instructional Video21:27
The Wall Street Journal

Kimberly Bryant and Jessica Rosenworcel on The Digital Divide

Higher Ed
At WSJ Tech Live, Kimberly Bryant and Jessica Rosenworcel discuss how the government and privacy sector should work to bridge the digital divide.
Instructional Video7:35
Zach Star

Books that All Students in Math, Science, and Engineering Should Read

12th - Higher Ed
These are some of my favorite books I have read lately that relate to students with an interest in math, science, and engineering. The list includes: 1. Physics of the Future 2. Algorithms to Live By 3. A Mind for Numbers 4. How Not to...
Instructional Video4:59
Curated Video

Design a computer system using tree search and reinforcement learning algorithms : Visualizing the Outcomes of the Epsilon-Greedy Policy

Higher Ed
From the section: Model-Free Prediction and Control With Monte Carlo (MC). In this section, we will learn one of two improvements on DP – Monte Carlo, a method which does not require a model of the environment. We talk about a new...
Instructional Video3:27
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Introduction

Higher Ed
From the section: Environment Setup and Installation. This section will help you to install the required software and set up the development environment for this course. Environment Setup and Installation: Introduction
Instructional Video4:39
Curated Video

Learning D3.JS 5.0 1.2: What Is Data Visualization?

Higher Ed
In this video, we will learn what data visualization is, visual perception, and also what makes a good visualization. • Understand the definition of data visualization • Discuss visual perception • Learn the steps to make a great...
Instructional Video2:42
Packt

Use different data types : Python Fundamentals

Higher Ed
From the section: NumPy Fundamentals in Python. Every programming language is different. You will cover fundamentals in order to get familiar with the Python environment needed for NumPy. You will learn to work with numbers, lists,...
Instructional Video7:50
Packt

Compare the breadth-first and depth-first search algorithms : Implementing BFS on Regular Graphs

Higher Ed
From the section: Searching in Graphs. In this section, we will see what we are searching for. Also, we will look at how to use and implement Breadth-First Search and Depth-First Search along with a simple puzzle game example. Implement...
Instructional Video7:29
Curated Video

Design a computer system using tree search and reinforcement learning algorithms : Running a Visualization of the Cart Robot CartPole-v0 in OpenAI Gym

Higher Ed
From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research solutions...
Instructional Video9:30
Packt

Create a computer vision system using decision tree algorithms to solve a real-world problem : Intro to Deep Learning and Tensorflow

Higher Ed
From the section: Deep Learning and Tensorflow: Part 1. In this section, we’ll talk about what Deep Learning is, and how TensorFlow works at a low level. Deep Learning and Tensorflow: Part 1: Intro to Deep Learning and Tensorflow
Instructional Video10:10
Curated Video

Discuss the importance of data : Basics of decision trees

Higher Ed
From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the...
Instructional Video10:11
Curated Video

Design a computer system using tree search and reinforcement learning algorithms : Creating an Agent to Solve the MAB Problem Using Python and Tensorflow

Higher Ed
From the section: The Multi-Armed Bandit. In this section, we will learn about the basics and look at one of the most foundational concepts in Reinforcement Learning – The Multi-Armed Bandit We construct a model of a MAB environment from...
Instructional Video11:36
Curated Video

Describe computer programming : Common Data Types

Higher Ed
From the section: Common Coding Concepts.This section will cover common coding concepts such as Scratch setup, bugs, pseudocode, decomposition, commenting and many more. Common Coding Concepts: Common Data Types
Instructional Video25:36
Curated Video

Describe computer programming : You Can Code! Part 2

Higher Ed
From the section: You can code!. This section will help you discover some interesting facts about coding. You can code!: You Can Code! Part 2 • Get the synopsis about the Tuple • Learn about the benefits of Tuple • Learn about the...
Instructional Video7:10
Curated Video

Describe computer programming : You Can Code! Part 1

Higher Ed
From the section: You can code!. This section will help you discover some interesting facts about coding. You can code!: You Can Code! Part 1 • Create a simple list with names and another with numbers • Explain the concept of indexing •...
Instructional Video12:20
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Introduction: What are Artificial Neural Networks and how do they learn?

Higher Ed
From the section: Artificial Neural Networks. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Artificial Neural Networks: Introduction: What are Artificial Neural Networks and how do they learn?
Instructional Video8:09
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Support Vector Classifiers in Action

Higher Ed
From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Machine Learning: Part 2: [Activity] Support Vector Classifiers in Action
Instructional Video7:52
Curated Video

Predictive Analytics with TensorFlow 9.1: Using BRNN for Image Classification

Higher Ed
We will first provide some contextual information about RNNs. We will see how to implement a BRNN implementation example using the TensorFlow library. The example is using the MNIST database of handwriting. • Look at contextual...
Podcast1:07:49
NASA

‎Houston We Have a Podcast: Her Passion for STEM

Pre-K - Higher Ed
Kris Brown and Emily Calandrelli describe the importance of inspiring young women to pursue an interest in science, technology, engineering and math. HWHAP Episode 232.
Instructional Video5:25
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with X-Ray images: Case Study - Part 6

Higher Ed
From the section: CNN-Industry Live Project: Find Medical Abnormalities and Save Life. This section includes a CNN-Industry live project on working with X-Ray images. CNN-Industry Live Project: Find Medical Abnormalities and Save Life:...
Instructional Video4:07
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 1

Higher Ed
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing with Real World Natural Images: Working with...
Instructional Video8:04
Curated Video

Call a function : String Manipulation Functions

Higher Ed
From the section: Intro to PHP Programming for Web Development. In this section, we’ll learn the basics of PHP programming. Intro to PHP Programming for Web Development: String Manipulation Functions
Instructional Video1:13
Packt

Data transmission : Physical versus logical topology

Higher Ed
From the section: Introduction to Computer Networks (ICND1). This Section introduces Computer Networks. This includes lectures on Physical Components, Topology, Speed etc. Introduction to Computer Networks (ICND1): Physical versus...
Instructional Video6:15
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Support Vector Machines (SVM) and Support Vector Classifiers (SVC)

Higher Ed
From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Machine Learning: Part 2: Support Vector Machines (SVM) and Support Vector Classifiers (SVC)
Instructional Video2:17
Curated Video

Java 11 Programming for Beginners 3.3: Inheritance — The Non-Taxable Kind

Higher Ed
Showcase the heaviest concept in OOP by example. • Build a second bot by leveraging the first • Go through theory