A Concise Overview of Standard Model-fitting Methods

A Concise Overview of Standard Model-fitting Methods  #MachineLearning #DeepLearning @rasbt

  • A very concise overview of 4 standard model-fitting methods, focusing on their differences: closed-form equations, gradient descent, stochastic gradient descent, and mini-batch learning.
  • Using an optimization algorithm (Gradient Descent, Stochastic Gradient Descent, Newton’s Method, Simplex Method, etc.)
  • Using the Gradient Decent (GD) optimization algorithm, the weights are updated incrementally after each epoch (= pass over the training dataset).
  • In Ordinary Least Squares (OLS) Linear Regression, our goal is to find the line (or hyperplane) that minimizes the vertical offsets.
  • We can picture GD optimization as a hiker (the weight coefficient) who wants to climb down a mountain (cost function) into a valley (cost minimum), and each step is determined by the steepness of the slope (gradient) and the leg length of the hiker (learning rate).

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@mattmayo13: “A Concise Overview of Standard Model-fitting Methods #MachineLearning #DeepLearning @rasbt”


A very concise overview of 4 standard model-fitting methods, focusing on their differences: closed-form equations, gradient descent, stochastic gradient descent, and mini-batch learning.


A Concise Overview of Standard Model-fitting Methods

SlashPixels: Smart artificial intelligence image search engine for designers – BetaList

SlashPixels: Smart artificial intelligence image search engine for designers

  • Discover startups similar to SlashPixels
  • SlashPixels is smart artificial intelligence image search engine for designers, that understands each image on top Design sources like Dribbble, Behance, Cargo, Pinterest, Awwwards and many more.
  • ð Receive a daily digest of the newest startups
  • Sign in with Twitter to start off the discussion.
  • Smartmockups New product mock-ups tool for designers, free and online

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@BetaList: “SlashPixels: Smart artificial intelligence image search engine for designers”


Smart artificial intelligence image search engine for designers


SlashPixels: Smart artificial intelligence image search engine for designers – BetaList

Google’s art machine just wrote its first song

Google's art machine just wrote its first song

  • 1:45 PM WWDC 2016 will kick off on June 13th at 10AM PT
  • 4:43 AM Watch Jonney Shih announce Asus’ MacBook killer
  • 3:46 PM Don’t take selfies with seals, NOAA says
  • 4:00 AM ‘s how the Asus ZenBook 3 looks next to the MacBook
  • 1:17 PM Sirin Labs’ Solarin is today’s most ridiculous $16,000 Android phone

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@verge: “Google’s art machine just wrote its first song”


Today, Google’s newest machine learning project released its first piece of generated art, a 90-second piano melody created through a trained neural network, provided with just four notes up front….


Google’s art machine just wrote its first song

Intelligent Approaches to Feeding a Growing Global Population

Machine learning could be key to feeding an ever growing world population -  #EmTechDigital

  • Erik Andrejko,Vice President, Science, The Climate Corporation on intelligent solutions for feeding a growing global population.
  • At the Climate Corporation, Erik leads the data science and research organization, which applies large-scale statistical machine learning and data science to solve challenging problems in numerous domains including climatology, agronomic modeling, and geospatial applications.
  • Erik’s contributions include defining the data science vision and leading the research underpinning pioneering products including Climate Basic and Climate Pro.
  • The mission of MIT Technology Review is to equip its audiences with the intelligence to understand a world shaped by technology.
  • Intelligent Approaches to Feeding a Growing Global Population

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@techreview: “Machine learning could be key to feeding an ever growing world population – #EmTechDigital”


Erik Andrejko,Vice President, Science, The Climate Corporation on intelligent solutions for feeding a growing global population.


Intelligent Approaches to Feeding a Growing Global Population

Magenta

Check out Magenta, an open-source ML research project looking at music and art generation -

  • If you’d like to keep up on Magenta as it grows, you can follow us on our GitHub and join our discussion group .
  • Soon we’ll begin accepting code contributions from the community at large.
  • We’ll use TensorFlow , and we’ll release our models and tools in open source on our GitHub.
  • We’re happy to announce Magenta, a project from the Google Brain team that asks: Can we use machine learning to create compelling art and music?
  • We’ll also post demos, tutorial blog postings and technical papers.

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@googleresearch: “Check out Magenta, an open-source ML research project looking at music and art generation -”


Magenta is a project devoted to music and art generation with machine intelligence. It is part of TensorFlow, an open source machine learning library.


Magenta

As Silicon Valley fights for talent, universities struggle to hold on to their stars

Big advances in artificial intelligence are as likely to come from business as universities

  • Whether tech firms, rather than universities, are best placed to deliver general progress in AI is up for debate.
  • Tech firms have not always lavished such attention and resources on AI experts.
  • Another risk is if expertise in AI is concentrated disproportionately in a few firms.
  • THAT a computer program can repeatedly beat the world champion at Go, a complex board game, is a coup for the fast-moving field of artificial intelligence (AI).
  • Tech companies make public some of their research through open sourcing.

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@EconBizFin: “Big advances in artificial intelligence are as likely to come from business as universities”


As Silicon Valley fights for talent, universities struggle to hold on to their stars


As Silicon Valley fights for talent, universities struggle to hold on to their stars

Microsoft is bringing automatic video summarization, Hyperlapse, OCR and more to Azure Media Services

Microsoft is bringing automatic video summarization, Hyperlapse, OCR and more to Azure Medi…

  • Microsoft doubles down on VR and AR, positioning Windows 10 as the “the only mixed reality platform”
  • Microsoft is bringing automatic video summarization, Hyperlapse, OCR and more to Azure Media Services
  • Azure Media Services , Microsoft’s collection of cloud-based tools for video workflows, is about to get a lot smarter.
  • Microsoft and SAP love grows stronger in the cloud
  • , Microsoft is building face detection into these tools and the company is including its ability to detect people’s emotions (something the company’s Cognitive Services already do for still images).

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@Ronald_vanLoon: “Microsoft is bringing automatic video summarization, Hyperlapse, OCR and more to Azure Medi…”


Azure Media Services, Microsoft’s collection of cloud-based tools for video workflows, is about to get a lot smarter. As the company announced at the annual..


Microsoft is bringing automatic video summarization, Hyperlapse, OCR and more to Azure Media Services