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Score: 3878
URL: http://nirvacana.com/thoughts/2013/07/08/becoming-a-data-scientist/
Tweeted At: Sat Feb 03 13:28:28 +0000 2018
Publish Date: 2013-07-08T15:20:59+00:00
Author: Swami Chandrasekaran

  • So here is my modest attempt at creating a curriculum, a learning plan that one can use in this becoming a data scientist journey.
  • I organized the overall plan progressively into the following areas / domains, – – Each area  / domain is represented as a “metro line”, with the stations depicting the topics you must learn / master / understand in a progressive fashion.
  • The idea is you pick a line, catch a train and go thru all the stations (topics) till you reach the final destination (or) switch to the next line.
  • You can use this as an individual learning plan to identify the areas you most want to develop and the acquire skills.
  • PS: I did not want to impose the use of any commercial tools in this plan.

Tags: data scientist, data science, data scientist overnight, Big Data Analytics, data scientist journey

Score: 3116
URL: http://tetranoodle.com/machine-learning-changing-financial-industry/
Tweeted At: Tue Jan 30 14:30:07 +0000 2018
Publish Date: 2017-12-21T08:34:06+00:00
Author:

  • Many mind intensive and energy consuming tasks are being replaced by simple learning algorithms of Machine learning; thus making them more accurate, faster and efficient.
  • Here are some of the ways how machine learning is having a significant impact on finance: – – Whenever a customer wants to get a loan or a specific type of insurance from a bank, there is usually a specific set of procedures followed to determine the risk involved and…
  • Instead, machine learning algorithms are designed to allow computers to have access to the multitude of data points related to: macro and micro-economic trends, housing market, interest rates, trends in the geographical area where the loan is originating and the demographics of the customer.
  • Machine learning algorithms implemented in these financial institutions benefit from huge databases and form patterns of the processes.
  • Another application of machine learning algorithms is quick arbitrage opportunities; where machines can look for prices of one product which vary from one geographical area to another and benefit from this price difference.

Tags: machine learning, advanced learning algorithms, risk assessment, machine learning algorithms, simple learning algorithms

Score: 491
URL: http://www.scmp.com/business/companies/article/2131948/big-data-and-ai-future-car-insurance-according-chinas-first
Tweeted At: Mon Feb 05 02:14:35 +0000 2018
Publish Date: 2018-02-05T08:03:12+00:00
Author: Laura He

  • Big data and artificial intelligence are at the heart of a platform announced last week by ZhongAn Online Casualty and Property Insurance, China’s first internet-only insurer.
  • So the car insurance industry must change as well,” Wang Yu, head of car insurance at ZhongAn, said in an interview with the South China Morning Post.
  • The platform will help ZhongAn boost its car insurance revenues and increase its share in China’s increasingly competitive car insurance market, which was worth US$112 billion in 2017.
  • For example, when customers use the platform to buy car insurance policies, the system can discover which steps users hesitate at the most, which could imply “inconvenience of online shopping” or potential problems.
  • So the car insurance industry must change as well – Wang Yu, head of car insurance at ZhongAn – “We have broken the online purchase process into 45 parts, and monitor and analyse data flows from each part.

Tags: car insurance, big data, car insurance industry,

405

Score: 390
URL: https://machinelearningmastery.com/vector-norms-machine-learning/
Tweeted At: Sun Feb 04 18:12:05 +0000 2018
Publish Date: 2018-02-05T05:00:53+00:00
Author: Jason Brownlee

  • In this tutorial, you will discover the different ways to calculate vector lengths or magnitudes, called the vector norm.
  • The length of a vector can be calculated using the L1 norm, where the 1 is a superscript of the L, e.g. L^1.
  • The length of a vector can be calculated using the L2 norm, where the 2 is a superscript of the L, e.g. L^2.
  • The L2 norm calculates the distance of the vector coordinate from the origin of the vector space.
  • In this tutorial, you discovered the different ways to calculate vector lengths or magnitudes, called the vector norm.

Tags: vector, norm, vector norm, L2 norm, L1 norm

Score: 1017
URL: https://www.automationworld.com/article/industry-type/all/how-evaluate-interoperability-iot%23sthash.MFA4qfTm.uxfs
Tweeted At: Sun Feb 04 17:54:39 +0000 2018
Publish Date:
Author:

    Tags: Evaluate Interoperability, IoT,

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