Instructional Video12:59
Virtually Passed

Relative motion problem

Higher Ed
For the graphical method: 1) Draw Geometry 2) Analyse the component of the system you know the most about using Va/b = Va - Vb 3) Analyse all the components (keeping track of both magnitudes and directions of vectors) 4) When you've got...
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 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 Video8:47
Catalyst University

Liver Enzymes EXPLAINED

Higher Ed
In this video, we explore the meaning of elevated liver and biliary enzymes.
Instructional Video4:47
Catalyst University

Microbiology: Hemolysis/Blood Agar

Higher Ed
Microbiology: Hemolysis/Blood Agar
Instructional Video8:53
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Project Solution: Detecting Cars Using SVM - Part #3

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] Project Solution: Detecting Cars Using SVM - Part #3
Instructional Video8:07
Virtually Passed

Second Moment of Area Example 3

Higher Ed
Ix is the second moment of area about the x axis. Choosing the value of dA is the important part for this problem. In this example where we're dealing with a section of a circle, it's easier to use cylindrical coordinates dA = r dr...
Instructional Video2:58
NASA

Hubble Tracks Origins Of Energy Blasts

3rd - 11th
Fast radio bursts, or FRBs, are extraordinary events that generate as much energy in a thousandth of a second as the Sun does in an entire year! Astronomers using NASA’s Hubble Space Telescope have traced the locations of five brief,...
Instructional Video8:27
msvgo

Zeros and Coefficients of a Polynomial

K - 12th
It explains the relation between the Zeros and Coefficients of a linear polynomial, a quadratic polynomial and a cubic polynomial.
Instructional Video2:45
NASA

NASA | GLASTcast | Episode 2: What are Gamma Rays?

3rd - 11th
NASA's GLAST mission is an astrophysics and particle physics partnership, developed in collaboration with the U.S. Department of Energy, along with important contributions from academic institutions and partners in France, Germany,...
Instructional Video6:59
NASA

NASA | We Did All That in 50 Years!

3rd - 11th
Humans have always looked up at the sky. They used astronomy to track time, orient their cities, decide when to plant their crops, and even based their religious practices on their celestial world. But there was much more to learn.
Instructional Video2:47
NASA

NASA | Terrestrial Gamma-ray Flashes Create Antimatter

3rd - 11th
NASA's Fermi Gamma-ray Space Telescope has detected beams of antimatter launched by thunderstorms. Acting like enormous particle accelerators, the storms can emit gamma-ray flashes, called TGFs, and high-energy electrons and positrons....
Instructional Video11:28
Virtually Passed

Relative Acceleration Example 1

Higher Ed
Relative Acceleration Example 1
Instructional Video5:55
NASA

NASA | GLASTcast 2008 Mission Update

3rd - 11th
The GLAST mission launched on June 11, 2008 and has been returning remarkable and revolutionary discoveries ever since. Recently renamed to the Fermi Space Telescope, after Nobel Prize winner Enrico Fermi, the mission is expected to...
Instructional Video2:15
NASA

NASA | GLASTcast | Episode 3: Swift and GLAST

3rd - 11th
NASA's GLAST mission is an astrophysics and particle physics partnership, developed in collaboration with the U.S. Department of Energy, along with important contributions from academic institutions and partners in France, Germany,...
Instructional Video2:35
NASA

NASA | GLASTcast | Episode 1: What is GLAST?

3rd - 11th
NASA's GLAST mission is an astrophysics and particle physics partnership, developed in collaboration with the U.S. Department of Energy, along with important contributions from academic institutions and partners in France, Germany,...
Instructional Video4:38
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Q-Learning Equation

Higher Ed
This video explains about the Q-Learning equation. This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper parameters and...
Instructional Video5:50
Higgsino Physics

Why you can live in Hiroshima but not in Chernobyl

12th - Higher Ed
Radiation and fallout in Hiroshima vs in the Chernobyl accident. Hiroshima and Chernobyl both suffered a major atomic disaster, where radioactive atoms was released. Hiroshima was nuked by the uranium fissile atomic bomb, little boy with...
Instructional Video2:21
NASA

NASA | GLASTcast | Special Edition: Launching a Spacecraft

3rd - 11th
NASA's GLAST mission is an astrophysics and particle physics partnership, developed in collaboration with the U.S. Department of Energy, along with important contributions from academic institutions and partners in France, Germany,...
Instructional Video5:35
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Alpha Learning Rate

Higher Ed
This video explains about the Alpha learning rate. This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper parameters and...
Instructional Video9:34
Packt

Fundamentals of Neural Networks - Long Short-Term Memory (LSTM)

Higher Ed
Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. LSTM networks are well-suited to classifying, processing, and making predictions based on time series data...
Instructional Video3:18
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Frozen Lake - 2

Higher Ed
This is the second of the four-part video that explains implementing Frozen Lake. This clip is from the chapter "RL-Based Q-Learning" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on...
Instructional Video8:21
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Gamma and Discount Factor

Higher Ed
This video talks about gamma and discount factor. This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper parameters and...
Instructional Video9:40
AllTime 10s

10 Archaeological Discoveries That Rewrote History

12th - Higher Ed
These 10 amazing archaeological discoveries changed the way we think about the modern world! From finding the first ever computer to finding ancient humans the size of Hobbits.