Clever banking with artificial intelligence

#MachineLearning is hot - What is it & what are the opportunities for finserv?

#fintech #AI

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@sbmeunier: “#MachineLearning is hot – What is it & what are the opportunities for finserv?

#fintech #AI”



Clever banking with artificial intelligence

Chatbot lawyer overturns 160,000 parking tickets in London and New York

A simple Chatbot

  • An artificial-intelligence lawyer chatbot has successfully contested 160,000 parking tickets across London and New York for free, showing that chatbots can actually be useful.
  • But having started with parking tickets, Browder’s next challenge for the AI lawyer is helping people with flight delay compensation, as well as helping the HIV positive understand their rights and acting as a guide for refugees navigating foreign legal systems.
  • Dubbed as “the world’s first robot lawyer” by its 19-year-old creator, London-born second-year Stanford University student Joshua Browder, DoNotPay helps users contest parking tickets in an easy to use chat-like interface.
  • “I think the people getting parking tickets are the most vulnerable in society.
  • At the very least, Browder’s robot lawyer shows that chatbots can be used for more than just ordering pizza or being spammed by news organisations .

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@erikbryn: “A simple Chatbot “lawyer” helps overturn 160,000 parking tickets
#AI
ht: @mahir_nyc”


Free service DoNotPay helps appeal over $4m in parking fines in just 21 months, but is just the tip of the legal AI iceberg for its 19-year-old creator


Chatbot lawyer overturns 160,000 parking tickets in London and New York

The Age of Artificial Intelligence in Fintech

The Age of Artificial Intelligence in #Fintech

 #AI

  • “Be so good that when you look up, you see no limits.”
  • Quote of the Day
  • Zerina Akers

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@SpirosMargaris: “The Age of Artificial Intelligence in #Fintech

#AI”


Christopher Polk/Getty Images Growth in Artificial Intelligence Artificial intelligence (AI) is all the buzz this year.  According to CB Insights, as of June 15, this year, more than 200 AI venture financing deals have been completed already totaling $1.5B in dollar volume. If the latter half of the year continues at this […]


The Age of Artificial Intelligence in Fintech

A Plethora of Data Science and Machine Learning Books

A Plethora of #DataScience and #MachineLearning Books

  • Introducing Data Science: Big Data, Machine Learning using Python
  • You need to be a member of Data Science Central to add comments!
  • Added by Tim Matteson 0 Comments 2 Likes
  • And if you are interested to see what kind of books were published just 5 years ago, click : you will see that hot topics are changing over time, with less data mining, more deep learning and Python, just to give an example.
  • You can also use the search box (on the top right corner on any DSC webpage) to find books on a specific topic, such as books on deep learning .

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@analyticbridge: “A Plethora of #DataScience and #MachineLearning Books”


These books were added in the last few months. Some do not cost anything (those marked as eBook in the listing below).

Easy R Programming for Beginners 
Intro…


A Plethora of Data Science and Machine Learning Books

Machine learning for the future

#Machinelearning for the future  #BigData @google

  • In a keynote talk, Dean outlined the history of machine learning (ML) and neural networks and various ways to programme models to take advantage of raw data coming through in the form of images or audio.
  • Models must be able to learn unsupervised, engage in multi-tasking and transfer learning, and take action from the world (also known as reinforcement learning).
  • Dean said researchers are beginning to look at privacy preserving techniques in machine learning and added that model structures mdash; the part of machine learning where human interaction plays a big role in managing the weights around ML – is of great import.
  • What we now want most from machine learning, said Google Senior Fellow Jeff Dean to the audience at SIGMOD 2016 keynote yesterday (Tuesday, June 28), is “understanding.”
  • “There is a lot of parallelism in these models,” Dean added, pointing to the Google Translate app that can now translate signs into a different language in real time using pixel identification.

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@bobehayes: “#Machinelearning for the future #BigData @google”


Google fellow Jeff Dean outlines the history of machine learning (ML), neural networks and various ways to programme mod…


Machine learning for the future