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Data science, Machine learning, Ai & more… BigData News Friday, February 23

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BigData News TLDR / Table of Contents

  • Data Science Summarized in One Picture
    • After posting Machine Learning Summarized in One Picture, here is a picture for data science:I tried to find the source for this picture, but could not. I’ve…
    • data science, machine learning, Machine Learning Summarized, data science background, Identity/Identification Entity Analytics
  • Why Artificial Intelligence Researchers Should Be More Paranoid
    • Report highlights risks of AI. A robot-turned-assassin?
    • AI, AI technology, AI technology discuss, new report, AI software
  • Dеѕіgn for AI Usability in Digital Marketing | Multilingual Search Engine Optimization
    • Explore how thе dеѕіgn оf аn іntеrасtіvе intelligent system should bе where tесhnоlоgу is сhаllеngеd bу rеаl wоrld рrоblеmѕ. One talks about usability of AI in digital marketing.
    • digital marketing, Thе gоаl оf, оf thе humаn, tо thе, fоr thе
  • Deep Learning
    • deep learning, deep learning techniques, deep feedforward networks, machine learning, deep generative models
  • Charted: Lessons from Machine Learning Fast Learners
    • Companies that are benefiting soonest from their investments in machine learning have gained by going all in, according to a recent global survey by the Economist Intelligence Unit (EIU) and SAP.
    • supply chain, Fast Learners, machine learning, new business models,
  • YouTube
    • upload original content, YouTube, , ,

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Data Science Summarized in One Picture

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  • After postingMachine Learning Summarized in One Picture, here is a picture for data science: – – I tried to find the source for this picture, but could not.
  • This picture was also spotted here.
  • I would definitely add automated data science (machine-to-machine or device-to-device communications, automated transactions such as algorithms that automatically purchase keywords on ad networks.)
  • This articlealso helps clarfy what data science, machine learning, automation, algorithms and data architectures are about.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: data science, machine learning, Machine Learning Summarized, data science background, Identity/Identification Entity Analytics[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Data Science Summarized in One Picture – Data Science Central[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Why-Artificial-Intelligence-Researchers-Should-Be-More-Paranoid”][vc_column width=”1/2″][vc_separator][vc_column_text]

Why Artificial Intelligence Researchers Should Be More Paranoid

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  • The report says people and companies working on AI need to think about building safeguards against criminals or attackers into their technologyand even to withhold certain ideas or tools from public release.
  • Tuesdays report is concerned with the more visceral harms that could result from AI software becoming much more capable and pervasive, for example in autonomous cars, or software that can automate complicated office tasks.
  • The reports main recommendation is that people and companies developing AI technology discuss safety and security more actively and openlyincluding with policymakers.
  • Shahar Avin, a lead author on the new report, and researcher at Cambridge Universitys Center for the Study of Existential Risk, says the fields innocent attitude is an outdated legacy from decades of AI over-promising but under-delivering.
  • He was lead author of a recent survey of technical challenges in AI that identified security and safety as major topics for research and concern.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: AI, AI technology, AI technology discuss, new report, AI software[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Why Artificial Intelligence Researchers Should Be More Paranoid | WIRED[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”D-gn-for-AI-Usability-in-Digital-Marketing-Multilingual-Search-Engine-Optimization”][vc_column width=”1/2″][vc_separator][vc_column_text]

Dеѕіgn for AI Usability in Digital Marketing | Multilingual Search Engine Optimization

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  • Hwvr ublt issues have bng rtl in mn AI and digital marketing tm, whr a human wrk with the system t wrk out nd apply results, nd whn the AI tm rv th ur interface fr the user ( wth h tm).
  • AI l is ld n m systems t buld a mutr mdl of th ur, whh thn ud t hl anticipate the users nd and optimize th interface ( n mutr-dd instruction tm nd dtv tm).
  • Th interdependency btwn dgn nd vlutn ll worth mhzng to an AI udn, because a mmn practice in the vlutn f AI-bd systems wth ur f t ur t all t wt untl th lt h f the project to ndut a user tud ( to dmntrt t th world…
  • The benets f dng so nlud: – – A- Tht th technology can often be mrvd n th b f th results f th technical evaluation – – B- That n lmttn of th thnlg that nnt b removed (for xml, n ur bound on th accuracy f tn rgntn)…
  • Anthr approach t vlutn f lng-trm system u is to consider systematically, n a thrtl level, wht sorts of hng are lkl t occur btwn ntl nd later u of th system, leveraging umultd xrn wth intelligent ntrtv tm.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: digital marketing, Thе gоаl оf, оf thе humаn, tо thе, fоr thе[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Dеѕіgn for AI Usability in Digital Marketing | Multilingual Search Engine Optimization[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Deep-Learning”][vc_column width=”1/2″][vc_separator][vc_column_text]

Deep Learning

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  • Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.
  • It provides much-needed broad perspective and mathematical preliminaries for software engineers and students entering the field, and serves as a reference for authorities.
  • , cochair of OpenAI; cofounder and CEO of Tesla and SpaceX – – This is the definitive textbook on deep learning.
  • If you want to know where deep learning came from, what it is good for, and where it is going, read this book.
  • This is the first comprehensive textbook on the subject, written by some of the most innovative and prolific researchers in the field.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: deep learning, deep learning techniques, deep feedforward networks, machine learning, deep generative models[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Deep Learning | The MIT Press[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Charted-Lessons-from-Machine-Learning-Fast-Learners”][vc_column width=”1/2″][vc_separator][vc_column_text]

Charted: Lessons from Machine Learning Fast Learners

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  • However, if you think of blockchain as the spine of digitalization and technologies such as AI, the IoT, 3D printing, autonomous vehicles, and drones as the limbs, you have a powerful supply chain body that can leapfrog ahead of its competition.
  • Many experts believe emerging technologies will work with blockchain to digitalize the supply chain and create new business models: – – – Blockchain will provide the foundation of automated trust for all parties in the supply chain.
  • 3D printing will extend the supply chain to the customers doorstep with hyperlocal manufacturing of parts and products with IoT sensors built into the items and/or their packaging.
  • Blockchain allows all the critical steps of the supply chain to go electronic and become irrefutably verifiable by all the critical parties within minutes: the seller and buyer, banks, logistics carriers, and import and export officials.
  • New business models continue to evolve as 3D printers become more sophisticated and affordable, making it possible to move the end of the supply chain closer to the customer.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: supply chain, Fast Learners, machine learning, new business models, [/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Charted: Lessons from Machine Learning Fast Learners[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”YouTube”][vc_column width=”1/2″][vc_separator][vc_column_text]

YouTube

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    [/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: upload original content, YouTube, , , [/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

    [/vc_column_text][vc_column_text el_class=”topfeed-embedly”]The 7 Steps of Machine Learning[/vc_column_text][/vc_column][/vc_row]