Curated Video
Here's What I Predict
Miss Palomine explains that a scientist makes predictions based on observations, made either by himself or by other scientists. She defines both words and gives examples.
Curated Video
Comparing Data on a Graph
Miss Palomine reviews her Cars, Buses, Trucks graph. She then tells the student about Socrates’s cookie-eating contest and how he will practice for the contest. Socrates will choose 10 cookies from a jar of 20 different kinds of cookies....
Curated Video
Visualizing Neural Networks | AI 101
In this month's AI 101, we're learning how to visualize neural networks, and how that can help us better understand our models.
Curated Video
Can AI Improve Air Quality?
Air pollution is an increasingly pressing public health issue, but current monitoring methods fall short. Can AI help?
Curated Video
How Do Physics-Informed Neural Networks Work?
Can physics help up develop better neural networks?
Curated Video
Ignoring Alternatives
Nobel Laureate in Physics Anthony Leggett (Illinois) describes how finding experimental support for a given theory doesn't mean that there aren't also alternative explanations out there.
Curated Video
The Sally-Anne Test
UCL development psychologist Uta Frith describes the so-called “Sally-Anne” test or “false belief” test that she and her colleagues used to determine that autistic children generally have great difficulty in ascribing beliefs and desires...
Curated Video
Brain-Based Emotion
Cognitive scientist Lisa Feldman Barrett (Northeastern) relates how her theory of emotion is completely aligned with how our brains construct auditory and visual perceptions.
Curated Video
Inflationary Concerns #3 - Eternal Inflation
Cosmologist Paul Steinhardt (Princeton) highlights a major issue with the theory of cosmic inflation - so-called "eternal inflation" that results in what theorists call a "multiverse".
Curated Video
Mentalizing with Dolls
Cognitive scientist Uta Frith (UCL) describes the famous "mentalizing" experiments that exposed the psychological limits of autistic children.
Curated Video
Guess What Happens Next
A video entitled “Guess What Happens Next” which explores how to make predictions while reading the story "The Tortoise and the Hare."
Curated Video
Making Predictions as You Read
How can readers make predictions as they read? Following the fortune teller reading, predict what will happen next by observing pictures. Then read 3 situations on task cards to predict what will happen next. Your future looks bright...
Curated Video
Force and Motion
A video entitled “Force and Motion” which depicts an experiment to show how force affects motion.
Curated Video
Using Probability to Predict
In this video, the teacher explains how to use probability to predict the number of times a numbered cube will land on A1 or A4 when rolled 400 times. The video provides step-by-step instructions on how to solve the problem.
Curated Video
#2 Prereading: How to Make Predictions (Foundations of Reading Comprehension)
In this video, I teach you how to make predictions as you read. This is a great way to help you understand what you are reading. I explain the purpose of predictions and give you two examples. I even include a FREE workbook. I invite you...
APMonitor
Classification and Regression: Concrete Strength
This case study is to determine the factors (inputs) that have correlation to the concrete compressive strength (output). 0:00 Introduction 2:35 Download Jupyter Notebook 4:00 Import Machine Learning Packages and Data 7:33 Part 1: Data...
Curated Video
Create a machine learning model of a real-life process or object : Getting Started with TensorFlow 2.0
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Logistic Regression
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Evaluating Machine Learning Systems with Cross-Validation
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : The Course Overview
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...
Packt
Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : Introduction to Various Defense Approaches to Adversarial Attacks
From the section: Choosing the Right Defense. In this section, you will deploy the right defense methods to protect AI systems from attacks by comparing their efficiency. The aim of this video is to give an overview of different defense...
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
Predictive Analytics with TensorFlow 5.2: Using kNN for Predictive Analytics
kNN is non-parametric and instance-based and is used in supervised learning. In this video, we will see working principles of kNN, we will also implement kNN-based predictive model. • See the working principles of kNN • Implement a...