The intuitive idea of a function
Learning Objectives: Express the idea of a function as an "instruction", a "graph" and a "machine" that take inputs and spit out outputs. However there are constraints: every input must have a corresponding output, and more specifically just ONE corresponding output. ********************
From playlist Discrete Math (Full Course: Sets, Logic, Proofs, Probability, Graph Theory, etc)
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Machine Learning
Introduction (3): Supervised Learning
Basics of supervised learning; regression, classification
From playlist cs273a
Intro to Sets | Examples, Notation & Properties
Learning Objectives: 1) Identify examples of sets 2) Write sets without regard to order or repetition 3) Determine whether one set is a subset of another **************************************************** YOUR TURN! Learning math requires more than just watching videos, so make sure you
From playlist Discrete Math (Full Course: Sets, Logic, Proofs, Probability, Graph Theory, etc)
From playlist Classroom Activities for Active Learning
Chain rule for functions of two variables
Free ebook http://tinyurl.com/EngMathYT A example on the mathematics of the chain rule for functions of two variables.
From playlist A second course in university calculus.
Set-Roster vs Set-Builder notation
Learning Objectives: 1) Write a set with infinitely many elements using Set-Roster notation 2) Write a set using Set-Builder notation 3) Convert between these two different notations for sets. **************************************************** YOUR TURN! Learning math requires more tha
From playlist Discrete Math (Full Course: Sets, Logic, Proofs, Probability, Graph Theory, etc)
How to set up a lesson and add a content page
Shows you the options you need to select to set up a formative lesson with a content page.
From playlist How to create a lesson in your course
How to set a passing grade for a lesson
This video will show you how to only open up the rest of your course once the student gets a passing grade from one lesson.
From playlist How to create a lesson in your course
Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents
#deepmind #rl #society This is an in-depth paper review, followed by an interview with the papers' authors! Society is ruled by norms, and most of these norms are very useful, such as washing your hands before cooking. However, there also exist plenty of social norms which are essentially
From playlist Papers Explained
Playing By the Rules-Based Systems || Vincent Warmerdam
Back in the old days, it was common to write rule-based systems. Systems that do; data - [rules] -labels. Nowadays, it's much more fashionable to use machine learning instead. Something like; (labels, data) - [model] - rules. It might be a good time to ask ourselves, is this a better app
From playlist Machine Learning
Learning to See [Part 8: More Assumptions...Fewer Problems?]
In this series, we'll explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. It's gonna be crazy. Supporting Code: https://github.com/stephencwe
From playlist Learning To See
Meta-Learning through Hebbian Plasticity in Random Networks (Paper Explained)
#ai #neuroscience #rl Reinforcement Learning is a powerful tool, but it lacks biological plausibility because it learns a fixed policy network. Animals use neuroplasticity to reconfigure their policies on the fly and quickly adapt to new situations. This paper uses Hebbian Learning, a bio
From playlist Papers Explained
Learning To See [Part 9: Bias Variance Throwdown]
In this series, we'll explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. It's gonna be crazy. Supporting Code: https://github.com/stephencwe
From playlist Learning To See
️🔥Welcome to CodeQuest By Simplilearn | Learner Coding Contest | Win Amazing Prices! | Simplilearn
️🔥Participate Now!: https://docs.google.com/forms/d/e/1FAIpQLSeTGN2Ywq8ubu1gxdG7pEsqXdCZqAf5O41DZjm9t9huFvSc1g/viewform Welcome to Code Quest: A warm welcome to the Coding Contest hosted by Simplilearn and SimpliCode. The idea behind this contest is to encourage and recognize the tru
From playlist Simplilearn Live
Welcome to Code Quest By Simplilearn | Learner Coding Contest | Win Amazing Prices! | Simplilearn
Participate Now!: https://docs.google.com/forms/d/e/1FAIpQLSeEtz4sMPU1vBM0MvScU0h1lPtDTvVaKHyXEe1dnh0vf004uQ/viewform?usp=sf_link Welcome to Code Quest: A warm welcome to the Coding Contest hosted by Simplilearn and SimpliCode. The idea behind this contest is to encourage and recognize
From playlist Simplilearn Live
Apriori Algorithm Explained | Association Rule Mining | Finding Frequent Itemset | Edureka
***Machine Learning Course: https://www.edureka.co/machine-learning-certification-training *** This video on "apriori Algorithm explained" provides you with a detailed and comprehensive knowledge of the Apriori Algorithm and Market Basket Analysis that Companies use to sell more products a
From playlist Machine Learning Algorithms in Python (With Demo) | Edureka
Stanford Seminar - Entrepreneurial Thought Leaders: Kathleen Eisenhardt of Stanford University
Kathleen Eisenhardt Stanford University In this seminar, entrepreneurial leaders share lessons from real-world experiences across entrepreneurial settings. Speakers include entrepreneurs, leaders from global technology companies, venture capitalists, and best-selling authors. Half-hour ta
From playlist MS&E472 - Entrepreneurial Thought Leaders - Stanford Seminars
Calculus 1 Lecture 2.6: Discussion of the Chain Rule for Derivatives of Functions
Calculus 1 Lecture 2.6: Discussion of the Chain Rule for Derivatives of Functions
From playlist Calculus 1 (Full Length Videos)
Rasa Algorithm Whiteboard - RulePolicy
In the age of deep learning and transformers, rule-based systems can still be a great idea. In this video, we hope to demonstrate why while we highlight a new feature of Rasa 2.0: the RulePolicy.
From playlist Algorithm Whiteboard