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Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - Instance Types for Big Data
This video explains the instance types for big data.
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This clip is from the chapter "Everything Else" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section, you will learn about Amazon Web...
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This clip is from the chapter "Everything Else" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section, you will learn about Amazon Web...
Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - DynamoDB RCU and WCU - Throughput
This video explains the Amazon DynamoDB provisioned throughput capacity for read and write.
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This clip is from the chapter "Domain 2: Storage" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this...
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This clip is from the chapter "Domain 2: Storage" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this...
Curated Video
Predictive Analytics with TensorFlow 1.4: Vectors, Matrices, and Graphs
We will discuss vectors, metrics, and tensors, which are some fundamental topics for learning predictive analytics.<br/>
• Understand vectors a<br/>nd matrices
• Fi<br/>nd transpose of matrix
• Understand vectors a<br/>nd matrices
• Fi<br/>nd transpose of matrix
Visual Learning Systems
Measuring in Science: Measuring Volume
Measuring is a vital process in science, and it is a process all students can carry out. This program demonstrates many of the different ways measurement occurs in science including measuring length, mass, volume, and temperature....
Brian McLogan
How to find the area of a figure by using multiple figures (mistake)
👉 Learn how to find the area and perimeter of composite shapes. A composite shape is a shape that is composed of different shapes. The area of a shape is the measure of the portion enclosed by the shape while the perimeter of a shape is...
Curated Video
Predictive Analytics with TensorFlow 6.4: TF-IDF Model for Predictive analytics
TF-IDF measures how important a word is in a document or in a collection of documents. It is used extensively in informational retrieval and reflects the weight of the word in the document, frequency and the inverse document frequency. •...
Visual Learning Systems
The Periodic Table: Mass Number and Atomic Mass
This program makes the Modern Periodic Table come alive to students. Numerous real-life examples of elements are exemplified in the table. Animations and graphics illustrate concepts not easily achieved through other instructional...
Visual Learning Systems
Measuring Volume: Tools and Techniques
This video explains different methods of measuring the volume of liquids and objects. It demonstrates the use of tools such as beakers, graduated cylinders, and water displacement to accurately measure volumes. The video also highlights...
Science ABC
Human Brain vs Supercomputer: Which One Wins?
Since the birth of the first computers, there has been a direct comparison between these “calculating machines” and the human brain. One of the common phrases circulating for decades, promoting the idea of a “brain versus computer”...
Visual Learning Systems
The Microscope: the Compound Light Microscope
While the microscope is one of the most exciting pieces of laboratory equipment, it is also one of the most expensive and fragile. This video illustrates how to safely and effectively use a variety of microscopes commonly found in the...
Math Fortress
Calculus III: The Dot Product (Level 9 of 12)
This video goes over the dot product also known as the scalar product. This video goes over 3 examples illustrating how to find the scalar projection, vector projection, and orthogonal projection.
Curated Video
Estimating Fractions to the Nearest Half Using a Number Line
In this video lesson, students will learn how to estimate fractions to the nearest half by placing them on a number line. By understanding the concept of estimating and identifying the closest round value, students can quickly compute...
Curated Video
Apache Kafka - Real-time Stream Processing (Master Class) - Streaming Aggregates - Core Concept
In this lecture, you will learn about some core considerations for implementing streaming aggregates.
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This clip is from the chapter "Real-time Aggregates" of the series "Apache Kafka - Real-time Stream Processing (Master...
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This clip is from the chapter "Real-time Aggregates" of the series "Apache Kafka - Real-time Stream Processing (Master...
Curated Video
Predictive Analytics with TensorFlow 8.4: CNN-based Predictive Model for Sentiment Analysis
This video will try to see if we can use CNN for such a use case and experience much better accuracy. Well, the motivation here is that we know CNN is mostly suitable for handling image recognition, classification, or pattern...
Curated Video
Apache Kafka - Real-time Stream Processing (Master Class) - KStream Aggregation using Aggregate()
In this lecture, you will learn to use the aggregate() method for real-time stream aggregation.
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This clip is from the chapter "Real-time Aggregates" of the series "Apache Kafka - Real-time Stream Processing (Master...
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This clip is from the chapter "Real-time Aggregates" of the series "Apache Kafka - Real-time Stream Processing (Master...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : Visualizing the Outcomes of the Epsilon-Greedy Policy
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...
Catalyst University
Power Series: Computing Integrals via Power Series: Example 1
Power Series: Computing Integrals via Power Series: Example 1
Brian McLogan
Learn how to add two mixed numbers with unlike denominators
👉 Learn how to add and subtract mixed numbers. Mixed numbers are numbers with two parts: the whole number part and the fraction part. Mixed numbers are ways to represent improper fractions using proper fractions.To add or subtract mixed...
Curated Video
Predictive Analytics with TensorFlow 7.4: Deep Belief Networks
While weights of an MLP are initialized randomly, a DBN uses a greedy layer-by-layer pretraining algorithm to initialize the network weights through probabilistic generative models composed of a visible layer and multiple layers of...
Curated Video
Apache Kafka - Real-time Stream Processing (Master Class) - KStream Aggregation using Reduce()
In this lecture, we will learn to use a reduce() method for computing real-time aggregate.
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This clip is from the chapter "Real-time Aggregates" of the series "Apache Kafka - Real-time Stream Processing (Master Class)".This...
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This clip is from the chapter "Real-time Aggregates" of the series "Apache Kafka - Real-time Stream Processing (Master Class)".This...
Science360
Computer scientist Scott Aaronson researches quantum computers
Scott Aaronson is a computer scientist at MIT who studies computational limits and quantum computers. He has been awarded the 2012 Alan T. Waterman Award
Science360
Computer scientist and Watson co-creator David Ferrucci - ScienceLives
When David Ferrucci was introduced to computer programming as a high school student questions flooded his mind … Where does it stop? What can I get the computer to do? "My mind immediately went to the idea of artificial intelligence ......
Limonero Films
Nintendo: From Video Games to Iconic Characters
This video explores the impact of Nintendo on the gaming industry, highlighting how they revolutionized video games and brought discipline to the market through strict quality control. Through interviews and nostalgic footage, viewers...