Gold


Recruiters, here's the best source of candidates you'll ever find… for FREE!

#artificialintelligence

When a recruiter is always running against time to screen applications, schedule interviews, show traction on open positions in meetings with hiring managers, the last thing they want to be doing is struggling to mine the ATS for candidates. However, when a recruitment agency sends a great candidate's resume across and the recruiter realizes that the candidate was an applicant whose resume was in the ATS all the while, the recruiter does think "I needn't have paid the agency the placement fee for this candidate if I found this candidate myself". If these candidates (with their old resumes) show up as a good fit for your currently open positions, they'd make excellent candidates with their updated skills and experience (provided they haven't switched roles) How do you tap into it? The recruiter receives the updated resume of an old candidate from the ATS, who is a great match to the open job.



The Physics of Rick and Morty

Slate

For science fiction, the multiverse is a gold mine of compelling story ideas. Some physicists like Kleban believe we could detect evidence of the multiverse through something called bubble collisions. The hunt for bubble collisions continues, although Kleban himself has acknowledged finding one would be a long shot. "If convincing evidence of the multiverse is found, it would be one of the biggest discoveries in human history akin to the Copernican revolution," he said.


Google Adds Natural Language Queries to Google Analytics

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Google Analytics is a gold mine of data, and the backbone of many digital marketing processes. Google's adding in a new natural language query process which will help users find relevant insights quickly and easily. Last September, they added Automated Insights which aims to highlight relevant fluctuations and changes in your Google Analytics data to help keep you on top of all the important measurements. Google does say that the system may not be able to answer all of these queries, as it depends on the surrounding context, but they are working to improve and upgrade the system based on use.


Mining Watson for data gold

#artificialintelligence

Faced with growing costs for extraction and processing and increasing competition, mine operators are turning to advanced technology tools to speed the discovery of mineral deposits. For Goldcorp, these tools now include cognitive technology from IBM applied to multiple information sources to help geologists locate high-value exploration targets faster and with greater accuracy, thereby reducing extraction costs and environmental impact. According to Mark Fawcett, partner, IBM global business services and project lead, Goldcorp's Watson initiative was a collective effort that drew on the strengths of both the IBM and Goldcorp organizations in the implementation and training of the Watson system. The gold in any analytics project, the Red Lake project began with the collection of information resources, including structured and unstructured data.


Machine learning in the mining industry -- a case study

@machinelearnbot

A gold mining company -- Newcrest Mining -- provided operating data for a number of its plants, with the aim that some of the teams attending could provide useful solutions grounded in Data Science. To keep autoclave sizes and capital costs down, Newcrest's autoclaves instead rely on purified oxygen, provided by an air separation unit (ASU). This presents an opportunity to minimise the excess oxygen and therefore reduce ASU electricity consumption -- saving money and reducing GHG emissions. The variables included temperature measurements, ore flow rate, and operating pressure.


Commodities Outlook Based On Algo Trading Up To 36.11% Return In 1 Month

#artificialintelligence

Commodities Outlook: The top commodities package for the 26th of January 2016 represents the top performing commodities for the 1 month period outlook. Package Name: Commodities Forecast Forecast Length: 1 month (04/06/16 – 05/06/16) I Know First Average: 15.70% The Commodities forecast for April 6th, 2016 had all 10 stocks increase in accordance with the algorithm's predictions. I Know First investors who invested evenhandedly in the top 10 stocks of this package saw an overall return of 15.70% Market Vectors Gold Miners ETF (GDX) The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the NYSE Arca Gold Miners Index. The fund normally invests at least 80% of its total assets in securities that comprise the Gold Miners Index.


Commodities Outlook Based On Algo Trading Up To 36.11% Return In 1 Month

#artificialintelligence

Commodities Outlook: The top commodities package for the 26th of January 2016 represents the top performing commodities for the 1 month period outlook. Package Name: Commodities Forecast Forecast Length: 1 month (04/06/16 – 05/06/16) I Know First Average: 15.70% The Commodities forecast for April 6th, 2016 had all 10 stocks increase in accordance with the algorithm's predictions. I Know First investors who invested evenhandedly in the top 10 stocks of this package saw an overall return of 15.70% Market Vectors Gold Miners ETF (GDX) The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the NYSE Arca Gold Miners Index. The fund normally invests at least 80% of its total assets in securities that comprise the Gold Miners Index.


Gold Mine or Blind Alley? Functional Programming for Big Data & Machine Learning

#artificialintelligence

The broader population possesses a loose notion that functional programming is useful for big data, but mostly doesn't use it In this article I'll provide an overview of the advantages and disadvantages of functional programming for machine learning and data science. Type System The functional programming community has created rich and powerful type systems. Unlike the simpler systems in lower-level languages like C, or invisible type systems in languages like Python, functional languages like Haskell provide an easy way to create new types, alias types, and even effect polymorphism via types. A language like Haskell, however, makes it easy to define separate types for gradients, activations, deltas, weights, etc.