IN CASE YOU MISSED IT!

BigData News Tuesday, February 13

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BigData News TLDR / Table of Contents

  • DeepMind’s latest AI transfers its learning to new tasks
    • By using insights from one job to help it do another, a successful new artificial intelligence hints at a more versatile future for machine learning.
    • small tech firms, AI, new AI, new artificial intelligence, artificial intelligence hints
  • 10 Big Financial Technology Trends for 2018
    • 2018 promises to be the year banking sees the culmination of some key technologies — from blockchain and intelligent AI to design thinking and the Cloud.
    • credit unions, financial services industry, financial institutions, UX design technologies, new data requirements
  • 10 Free Must-Read Books for Machine Learning and Data Science
    • Spring. Rejuvenation. Rebirth. Everything’s blooming. And, of course, people want free ebooks. With that in mind, here’s a list of 10 free machine learning and data science titles to get your spring reading started right.
    • algorithmic paradigms, data science ebooks, important algorithmic paradigms, bigger picture titles, fastest growing areas
  • YouTube
    • upload original content, YouTube, , ,

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DeepMind’s latest AI transfers its learning to new tasks

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  • Google wants your e-mails to be a window to the web – – – – – Your Gmail inbox is about to get weird.
  • As part of an update to its Accelerated Mobile Pages project, Googlewillserve up content from the internet inside e-mails to provide always-up-to-date information.Backstory: The AMP project was designed to make… Read more – – – – – – Your Gmail inbox is about to get weird.
  • As part of an update to its Accelerated Mobile Pages project, Googlewillserve up content from the internet inside e-mails to provide always-up-to-date information.
  • Backstory: The AMP project was designed to make web pages load faster, so you could click through from search results to content almost instantly.
  • E-mail plus plus:Developersare going to be playing around with AMP widgets for Gmail messages.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: small tech firms, AI, new AI, new artificial intelligence, artificial intelligence hints[/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”]DeepMind’s latest AI transfers its learning to new tasks – MIT Technology Review[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”10-Big-Financial-Technology-Trends-for-2018″][vc_column width=”1/2″][vc_separator][vc_column_text]

10 Big Financial Technology Trends for 2018

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  • Experiences with non-banking industries such as retail and communications have shaped consumers expectations from banks and credit unions.
  • With the entire banking industry shifting to digital channels,digital-only players will pose more and more challenges to the historical dominance oftraditional banks and credit unions.
  • Capgemini says that the 2008 financial crisis left banks and credit unions at a disadvantage with credit challenged consumers.
  • According to Capgeminis report, these non-traditional lenders use technology-based algorithms and software integrations to assess credit profiles of customers and are also leveraging alternative data such as social media photos and check-ins, GPS data, e-commerce and online purchases, mobile data, and bill payments.
  • Banks and credit unions will feel the push to create more cloud-enabled business models in 2018, while the use of open APIs will drive consumer applications to the cloud even more.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: credit unions, financial services industry, financial institutions, UX design technologies, new data requirements[/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”]10 Big Financial Technology Trends for 2018[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”10-Free-Must-Read-Books-for-Machine-Learning-and-Data-Science”][vc_column width=”1/2″][vc_separator][vc_column_text]

10 Free Must-Read Books for Machine Learning and Data Science

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  • With that in mind, here’s a list of 10 free machine learning and data science titles to get your spring reading started right.
  • What better way to enjoy this spring weather than with some free machine learning and data science ebooks?
  • The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.
  • The Elements of Statistical Learning – – By Trevor Hastie, Robert Tibshirani and Jerome Friedman – – This book descibes the important ideas in these areas in a common conceptual framework.
  • The textbook is laid out as a series of small steps that build on each other until, by the time you complete the book, you have laid the foundation for understanding data mining techniques.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: algorithmic paradigms, data science ebooks, important algorithmic paradigms, bigger picture titles, fastest growing areas[/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”]10 Free Must-Read Books for Machine Learning and Data Science[/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-embedly”]IoT Voices with WIRED Senior Vice President, Persistent[/vc_column_text][/vc_column][/vc_row]