Instructional Video4:45
Bozeman Science

Scalar Field

12th - Higher Ed
In this video Paul Andersen explains how scalar fields can be used to show the distribution of scalar quantities. The most important scalar fields in AP Physics 2 deal with electric potential. Scalar addition can be used to combine...
Instructional Video19:30
Curated Video

Deep Learning - Recurrent Neural Networks with TensorFlow - Demo of the Long-Distance Problem

Higher Ed
In this video, we will understand how LSTMs work for resolving a long-distance problem. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural...
Instructional Video10:38
Curated Video

Machine Learning: Random Forest with Python from Scratch - Using NumPy for Random Forest

Higher Ed
In this lesson, you will learn about the NumPy tool available in the Python library and look at the advantages of using NumPy. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...
Instructional Video14:11
Curated Video

The Art of Doing - Web Development for Beginners - Functions

Higher Ed
In this video, we will delve into functions in JavaScript, including function declarations, parameters, and function bodies. You will also learn how to call functions and pass arguments to them and explore best practices for writing...
Instructional Video2:34
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Histogram

Higher Ed
In this video, you will learn about a histogram. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Matplotlib.
Instructional Video14:40
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Generating Data

Higher Ed
In this video, we will discuss how to generate data. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world of...
Instructional Video8:48
Science Buddies

Simple Explanation of the Minimax Algorithm with Alpha-Beta Pruning with Connect 4

K - 5th
Create a Connect 4 AI Player with the Minimax algorithm and Alpha-Beta Pruning
Instructional Video7:08
Curated Video

Microsoft Excel 2021365 - Beginner to Advanced - Exercise 03 -work on a two-way XLOOKUP

Higher Ed
In this video, we will focus on Exercise 03 of this section, where we will work on a two-way XLOOKUP.
Instructional Video9:48
Curated Video

Microsoft Excel 2021365 - Beginner to Advanced - Using RANDARRAY and RANDBETWEEN to Randomize Data

Higher Ed
In this video, you will learn how to use RANDARRAY and RANDBETWEEN to randomize data.
Instructional Video4:44
Curated Video

Scala & Spark-Master Big Data with Scala and Spark - Solution (Anonymous Functions)

Higher Ed
Let's discuss the solution to the short quiz on anonymous functions in this session. This clip is from the chapter "Functions" of the series "Scala & Spark-Master Big Data with Scala and Spark".This section primarily focuses on functions...
Instructional Video33:34
APMonitor

Numpy and Loops in Python

10th - Higher Ed
This introductory homework assignment solution covers Numpy and loops (for and while) in Python. The example problems use simple vectors and matrices, reshaping, index referencing, initialization, dot product, cross product, matrix...
Instructional Video39:03
Curated Video

Data Science and Machine Learning with R - Data Frames: Tibbles

Higher Ed
This video explains Tibbles in data frames. This clip is from the chapter "Data Types and Structures in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This video explains data types and...
Instructional Video10:50
Programming Electronics Academy

Arduino Pseudo Random Non-Consecutive Number Generator

Higher Ed
In this video we demonstrate how to create pseudo random numbers with Arduino - with a useful twist. This lesson was inspired by the following viewer question: "How do I create Random Non-Consecutive numbers with Arduino. P.S. These are...
Instructional Video6:49
Curated Video

Conducting a Simulation to Determine Consistency with Given Results

K - 5th
In this video, the teacher explains how to determine if a model is consistent with given results by conducting a simulation using random numbers. The example used is a chess player named Garrett who usually wins 6 out of 9 games, but one...
Instructional Video15:42
Curated Video

Design a computer system using tree search and reinforcement learning algorithms : Coding up Your First Solution to CartPole-v0

Higher Ed
From the section: Lights, Camera, Action – Building Blocks of Reinforcement Learning. In this section, we learn about the main building blocks of reinforcement learning, including the action space, the environment, and the rewards. To...
Instructional Video6:41
Curated Video

High Performance Scientific Computing with C 1.6: Monte Carlo Methods

Higher Ed
How can we use random numbers to solve problems? • Learn why randomness is useful • See how we can solve integrals with random numbers • See how the accuracy of Monte Carlo methods scales
Instructional Video10:13
Curated Video

CompTIA Security+ Certification SY0-601: The Total Course - Password Cracking

Higher Ed
Passwords are often stored in hash format but can still be susceptible to attacks. The various password attacks include brute force, dictionary, and rainbow table. Salting and key stretching add another layer of security to hashed...
Instructional Video2:00
Instructional Video29:49
The Wall Street Journal

Deep Dive: Tracking and Detecting an Epidemic

Higher Ed
How can technology help in tracking the spread of the new coronavirus and what were the early warning signs and findings from epicenters like China and South Korea that can serve as a lesson for the U.S.?
Instructional Video13:38
Packt

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

Higher Ed
From the section: Python Crash Course [Optional]. In this section, we’ll continue diving into Python data structures with tuples and dictionaries, functions, Boolean Operations and Loops, and libraries like Pandas, MatPlotLib and Seaborn...
Instructional Video15:54
Curated Video

From 0 to 1 Data Structures & Algorithms in Java - Maximum Element In A Minimum Heap and K Largest Elements In A Stream

Higher Ed
Let's practice heap problems! Use the heap property to find the largest element in a minimum heap and the K largest elements in a stream. This clip is from the chapter "Heap Problems" of the series "From 0 to 1: Data Structures &...
Instructional Video6:05
Curated Video

C++ Standard Template Library in Practice - Randomizing

Higher Ed
The listener is new to algorithms and does not know about the shuffling algorithms. • Introduce the listener to the std::shuffle algorithm • Show how it works and explain the different versions available • Reinforce the lesson with a...
Instructional Video8:40
Curated Video

Learn Go in 3 Hours - Package and Imports

Higher Ed
Go uses packages to organize source code and import statements to declare access to code in other packages. • This video covers how packages and import statements work and gives a quick walkthrough of the standard library. • Learn about...
Instructional Video10:05
Curated Video

Hands-On WebAssembly for C++ Programmers - Seeing WebAssembly in Action

Higher Ed
Now that you know what WebAssembly is, what does it look like when it is run, see how much faster it is than JavaScript. • Run a C++ program in the web browser • Measure performance differences from C++, JavaScript, and WebAssembly •...