testingrot.blogg.se - Wolfram mathematica tutorial pdf collection

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Learn how to make your classroom dynamic with interactive models, explore computation and visualization capabilities in Mathematica that make it useful for teaching practically any subject at any level, and get best-practice suggestions for course integration. Teaching and Learning with Mathematica-Free video course

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Mathematica offers an interactive classroom experience that helps students explore and grasp concepts, plus gives faculty the tools they need to easily create supporting course materials, assignments, and presentations.

Teaching with Wolfram Technology Mathematica Learn the basics of creating interactive notebooks and presentations, using free-form input and step-by-step solutions, and more. Hands-on Start to Wolfram|Alpha Notebook Edition New to Wolfram|Alpha? Take a tour to learn what you can do with Wolfram|Alpha, and explore additional features you get with Wolfram|Alpha Pro. Learn to use Wolfram Notebooks for computing, programming, generating reports, and creating presentations with this interactive course. Introduction to Notebooks (interactive open course) Provides a list of new functionality in Mathematica 12, and links to documentation and examples for these new features-including 3D printing, audio processing, machine learning, and neural networks, and text and language processing.Īccess step-by-step instructions ranging from how to create animations to basic syntax information.īrowse Wolfram's large collection of learning materials and support resources. Use this tutorial to learn about solving math problems in the Wolfram Language-from basic arithmetic to integral calculus and beyond. Mathematica & Wolfram Language Fast Introduction for Math Students (online book) Learn Mathematica at your own pace from authors with 50+ years of combined Mathematica experience-with hands-on examples, end-of-chapter exercises, and authors' tips that introduce you to the breadth of Mathematica with a focus on ease of use. Hands-on Start to Wolfram Mathematica and Programming with the Wolfram Language (book)

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Free on-demand training video for Mathematica Online users.Free on-demand training video for desktop users.Book available in paperback or Kindle form.This tutorial helps you get started with Mathematica-learn how to create your first notebook, run calculations, generate visualizations, create interactive models, analyze data, and more. NetModel gives access to prebuilt nets.These tutorials are excellent for new users and can be assigned to students as homework to learn Mathematica outside of class time You can build and train your own neural nets in the Wolfram Language using functions like NetChain, NetGraph and NetTrain.It ’s what you need to do something like build an image-search function. FeatureNearest is like Nearest except that it learns what should be considered near by looking at the actual data you give.FeatureExtraction lets you get out the feature vectors used by FeatureSpacePlot.Alphabet is a better way to make a list of rasterized letters, but we won ’t talk about until Section 25.FeatureSpacePlot does dimension reduction, taking data that ’s represented by many parameters, and finding a good way to “project ” these down so they can be plotted in 2D.Dendrogram does hierarchical clustering, and can be used to reconstruct evolutionary trees in areas like bioinformatics and historical linguistics.

Classify does supervised machine learning, being given a set of training examples.

FindClusters does unsupervised machine learning, where the computer just looks at data without being told anything about it.

Classify automatically picks between methods such as logistic regression, naive Bayes, random forests and support vector machines, as well as neural networks.

You can get a large standard training set of handwritten digits using ResourceData.

This is pretty much always how Classify is used in practice.

If you just give Classify training examples, it ’ll produce a ClassifierFunction that can later be applied to many different pieces of data.

ImageIdentify is the core of what the website does.

BarcodeImage and BarcodeRecognize work with bar codes and QR codes instead of pure text.

The Wolfram Language stores its latest machine learning classifiers in the cloud -but if you ’re using a desktop system, they ’ll automatically be downloaded, and then they ’ll run locally.

Practicalities of Using the Wolfram Language.

Finance, Statistics & Business Analysis.

Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data.