"Learning and earning: Evidence from a randomized evaluation in India," Labour Economics, Elsevier, vol. 45(C), pages 116-130. Pushkar Maitra & Subha Mani, 2013. " Learning and Earning: Evidence from a Randomized Evaluation in India ," Working Papers id:5504, eSocialSciences.
-Modeling and predicting data by using Machine Learning algorithms with Python and R.-Programmatic Advertising, Ad Server and Demand Site Platform (DSP) analysis.-Campaign optimization and forecasting.-Digital metric, customer journey… -Responsible for data analysis in Spanish Market (also participating in projects in Australia and UK).
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Innovation comes from constant experimentation and learning. Hence, it’s always useful to know what works and what doesn’t. By systematically exploring new ideas you can encourage employees to do the same without fear of failure. Principle #5: Focus on the Process. When things go wrong, there is a tendency to want to blame other people.

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  • Learning to remember: cognitive training-induced attenuation of age-related memory decline depends on sex and cognitive demand, and can transfer to untrained cognitive domains. Talboom JS(1), West SG(1), Engler-Chiurazzi EB(1), Enders CK(2), Crain I(2), Bimonte-Nelson HA(3).
  • Methods and systems for using a half-life formula for deriving demand metrics used in ordering item listings, when presenting those item listings in a search results page, are described.

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View Rahul singh Dikhit’s profile on LinkedIn, the world’s largest professional community. Rahul singh has 3 jobs listed on their profile. See the complete profile on LinkedIn and discover Rahul singh’s connections and jobs at similar companies.

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  • Mar 15, 2019 · The existing demand forecasting models are based on the concept of static learning as they are purely dependant on historical data only. However, the coupling of historical data with recent observations would intuitively give the better prediction result. So, the proposed model needs to be adaptive and it should support active learning.
  • Alternative natural gas applications workshop: Creating a prosperous demand market Alger, M. M. & State, P., Jan 1 2014, Alternative Natural Gas Applications Workshop: Creating a Prosperous Demand Market. AIChE, p. 10-22 13 p. (Alternative Natural Gas Applications Workshop: Creating a Prosperous Demand Market).

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This issue of Radiologic Clinics of North America focuses on Breast Imaging and is edited by Dr. Phoebe E. Freer. Articles will include: Management of High-risk Lesions in Breast Cancer; Contrast Mammography and Tomosynthesis; Breast Radiology Advocacy: R

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As demand on health care grows, so does the demand for world class clinical content. Biomedical knowledge is currently doubling every 3 years, and by 2020 is expected to double every 73 days. Getting the right content into the hands of health professionals at the right time is critical to improving care delivery.

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Machine Learning — It is an application of artificial intelligence that provides the AI System with the ability to automatically learn from the environment and applies that learning to make better decisions. There are a variety of algorithms that Machine Learning uses to iteratively learn, describe and...

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CiteScore: 10.5 ℹ CiteScore: 2019: 10.5 CiteScore measures the average citations received per peer-reviewed document published in this title. CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of ...

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Lead development and execution of demand generation and go-to-market strategies for Digital Commons in the health systems, professional school (law & business), and nonprofit market segments.

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Nov 06, 2020 · November 6, 2020. Dear colleagues, Following up on my message of September 18, 2020, and in response to the need to achieve the budget reduction target necessitated by the continuing financial impact of the COVID-19 pandemic, the Library, Museums and Press will cancel our bundled journal subscription with Elsevier Publishing.

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