Elementary mathematics | Inverse functions

Arg max

In mathematics, the arguments of the maxima (abbreviated arg max or argmax) are the points, or elements, of the domain of some function at which the function values are maximized. In contrast to global maxima, which refers to the largest outputs of a function, arg max refers to the inputs, or arguments, at which the function outputs are as large as possible. (Wikipedia).

Arg max
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Augmented Reality

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 VR / AR

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Beer Glass Modeling in GeoGebra 3D with Augmented Reality

Trig + Quadratic piecewise FN graph spun re: xAxis = #BarGlass! With #GeoGebra 3D & #AugmentedReality, the world = your Ss’ #3D modeling playground! Here, for Ss, #math becomes both a creative ART + modeling SCIENCE! #MTBoS #ITeachMath #NotRecommendingYouSendStudentsToTheBar 🙂

From playlist GeoGebra 3D with AR (iOS): Explorations, Demos, and Lesson Ideas

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Neural Networks Part 5: ArgMax and SoftMax

When your Neural Network has more than one output, then it is very common to train with SoftMax and, once trained, swap SoftMax out for ArgMax. This video give you all the details on these two methods so that you'll know when and why to use ArgMax or SoftMax. NOTE: This StatQuest assumes

From playlist StatQuest

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Virtual Reality

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 VR / AR

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Code for Deep Learning - ArgMax and Reduction Tensor Ops

Learn about tensor reduction operations and the ArgMax operation for artificial neural network programming and deep learning with Python and PyTorch. deeplizard on broadcasting: http://deeplizard.com/learn/video/6_33ulFDuCg Ted Talk: https://youtu.be/tr9oe2TZiJw Sorelle: https://youtu.be/

From playlist PyTorch - Python Deep Learning Neural Network API

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Nexus trimester - John Walsh (Drexel University)

Distributed Extremization : Fundamental Limits and Practical Schemes John Walsh (Drexel University) February 18, 2015

From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme

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Regular Icosahedron Modeling and Testing in GeoGebra 3D with Augmented Reality

GeoGebra Resource Link: https://www.geogebra.org/m/rmfptnzu#material/vqu2juje Recorded on iPhone 10S Max.

From playlist GeoGebra 3D with AR (iOS): Explorations, Demos, and Lesson Ideas

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(ML 4.5) MLE for a PMF on a finite set (part 2)

Computing the maximum likelihood estimate (MLE) for the PMF of a random variable taking finitely many values. (Sometimes this is referred to as a "multinomial" distribution in machine learning, but in fact it is just a very special case of a multinomial.) A playlist of these Machine Lear

From playlist Machine Learning

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5.5: Doodle Classifier: Testing - Intelligence and Learning

In this video I "test" the neural network's classification accuracy with drawings from Google Quick Draw dataset not used for training. Next Video: https://youtu.be/Km6QHvGTeGA 🔗 Toy-Neural-Network-JS: https://github.com/CodingTrain/Toy-Neural-Network-JS 🔗 Google Quick Draw: https://quic

From playlist 10: Neural Networks - The Nature of Code

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More Composite Solid Modeling & Testing In GeoGebra 3D with Augmented Reality

#Math Ts: Geometric constructions & transformations really come alive when building mathematical models in #GeoGebra #3d! And #AugmentedReality lets us test the accuracy of these models! More info re: getting started: https://www.geogebra.org/m/cqt9tnu8. #maths #EdTech

From playlist GeoGebra 3D with AR (iOS): Explorations, Demos, and Lesson Ideas

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(ML 8.1) Naive Bayes classification

An introduction to "naive Bayes" classifiers, in which we model the features as conditionally independent given the class.

From playlist Machine Learning

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(ML 14.12) Viterbi algorithm (part 2)

The Viterbi algorithm (computing the MAP sequence of hidden states) for hidden Markov models (HMMs).

From playlist Machine Learning

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AI Pong - TensorFlow.js p.3

Welcome everyone to part 3 of the TensorFlow.js series. Leading up to this, we've learned the basics of working with TensorFlow.js and a basic web application, now we're going to expand to a slightly more challenging task: teaching an AI to play pong in the browser. Text tutorials and sam

From playlist TensorFlow.js - Deep Learning in the Browser

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Stream archive: Setting up auth for the LMS project with Yew and Rust stream 29 (2023-03-18)

Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/brookzerker

From playlist lms

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How To Use apply() In Pandas (Python)

↓ Code Available Below! ↓ This video shows how to apply functions to columns and rows pandas data frames using .apply(). The .apply() function operates on pandas series or data frames and applies a function to each element of a single series (such as each record in a column of a data f

From playlist Code Clips: Python Pandas Basics

Related pages

Maxima and minima | Bounded function | Mode (statistics) | Domain of a function | Convex analysis | Variational analysis | Interval (mathematics) | Mathematics | Level set | Function (mathematics) | Set (mathematics) | Mathematical optimization | Argument of a function | Extreme value theorem | Kernel (linear algebra) | Empty set | Singleton (mathematics)