Category: ESSEC Business School

Atlanta Schools Measures to Improve Performance Robert Simons Natalie Kindred 2013

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Atlanta is one of the largest cities in the US, and its schools are ranked among the top in the country. The city’s public school system, known as the Atlanta Public Schools, includes publicly funded, publicly managed, and publicly managed schools with local control over the curriculum and teacher compensation. As of 2013, it has a population of 4.7 million and enrolls over 180,000 students. The city’s school system has been known to have some flaws that have affected click here for more info

Kodak B Giovanni Gavetti Rebecca M Henderson Simona Giorgi 2004

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Infosys Assessing Earnings Quality Primer Soumik Bhusan Amrinder Singh Sreesitava Banerjee

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Mpact Packaging and Recycling Consumer Pressure in South Africa Geoff Bick Rosalind Dos Santos

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NVIDIA Winning the DeepLearning Leadership Battle Michael D Watkins Lisa Duke Sonia Tan Christopher Read Rathan Kinhal 2019

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Jim Sharpe Extrusion Technology Inc A Barbara Feinberg 1997

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Lately, I have been very passionate about supervised machine learning (SML), especially applying it to solving problems. browse around here SML is an exciting new area that offers practical applications with a high potential for large scale adoption. The field is still young and growing rapidly, and there are many great books, articles, and conferences out there. This session is a hands-on, experiential session where we will explore a few specific application domains of SML. We will discuss a real-world application called “Sales Prediction,” which has huge potential for application. This

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Supervised Machine Learning An Experiential and Applied Session Ruth Gilleran Stephen Gordon Title: Supervised Machine Learning An Experiential and Applied Session Ruth Gilleran Stephen Gordon In today’s session, I will explain supervised machine learning: its basic principles, the steps for training and applying it in practice, and the practical application of the technique. Principles of Supervised Machine Learning 1. Data Preparation: a) Data preparation involves cleaning and organizing the data to improve the accuracy and usability of

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Supervised Machine Learning An Experiential and Applied Session: Ruth Gilleran When I first heard about supervised machine learning, I had no idea how revolutionary it was going to be in the world of artificial intelligence. But the more I read and learned about the potential of this technology, the more I realized that it has the power to solve some of the most complex problems in the field of machine learning. Supervised machine learning involves training a machine learning model using labeled data, which is a set of paired data (input, output) pairs that the model is

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Supervised Machine Learning An Experiential and Applied Session Ruth Gilleran and Stephen Gordon Supervised Machine Learning is a field that aims to help us solve practical business problems by developing intelligent machines that can learn by observing and performing the necessary tasks we need them to do. As you might have heard, it is a growing field of work, with applications in fields such as: 1. Retail: The retail industry is one of the most interesting applications of Supervised Machine Learning. Retailers need to predict and optimize sales in order

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“Experiential sessions” are a way of learning that is meant to allow the learners to get hands-on experience with what they are going to learn in the classroom. In this experiment, I conducted supervised machine learning using Apache Spark with data from a dataset containing information on a small retail business. I worked closely with the data and developed models that were able to identify trends and predict sales over time. The supervised learning process involved pre-processing and cleaning the data, preparing it for training a model, and tuning the hyperparameters using