Optimization

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Basic Modeling for Discrete Optimization (Coursera)

Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron [...]
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Average: 2 ( 4 votes )

Experimentation for Improvement (Coursera)

We are always using experiments to improve our lives, our community, and our work. Are you doing it efficiently? Or are you (incorrectly) changing one thing at a time and hoping for the best? In this course, you will learn how to plan efficient experiments - testing with many [...]
6
Average: 6 ( 3 votes )

Optimización de Redes Neuronales Profundas (Coursera)

Este curso se centrará en la optimización de Redes Neuronales Profundas, cambiando la idea de que todo el proceso es una “caja negra”. Comprenderá qué impulsa el rendimiento y podrá obtener mejores resultados de manera más sistemática. Entenderá cómo optimizar los principales Hiperparámetros y su implementación. Además, aprenderá nuevos [...]
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Operations Research (2): Optimization Algorithms (Coursera)

Sep 6th 2021
Operations Research (2): Optimization Algorithms (Coursera)
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Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Electrical Engineering, etc. The series of courses consists of three parts, we focus on deterministic optimization techniques, which is a major part [...]
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Introduction to Computational Materials Design (edX)

Self Paced
Introduction to Computational Materials Design (edX)
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The purpose of this course is to analyze the present status and possibilities of computational materials design and to implement a new paradigm of material science by learning basic cutting-edge computational methods and designing materials using quantum simulation program codes.
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Foundations of Data Science (edX)

Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science. Data Science along with artificial intelligence (AI) and its various components such as statistical learning (SL), machine learning (ML) and deep learning algorithms (DL) are recognized as main drivers of organizational [...]
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Applied Quantum Computing I: Fundamentals (edX)

Jan 19th 2021
Applied Quantum Computing I: Fundamentals (edX)
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Learn the fundamental postulates of quantum mechanics and how they can be mapped onto present-day quantum information processing models, including computation, simulation, optimization, and machine learning.
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Spark (Udacity)

Self Paced
Spark (Udacity)
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Master how to work with big data and build machine learning models at scale using Spark! In this course, you’ll learn how to use Spark to work with big data and build machine learning models at scale, including how to wrangle and model massive datasets with PySpark, the Python [...]
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Website Performance Optimization (Udacity)

The Critical Rendering Path. You will learn how to optimize any website for speed by diving into the details of how mobile and desktop browsers render pages. In this short course, you’ll learn about the Critical Rendering Path, or the set of steps browsers must take to convert HTML, [...]
10
Average: 10 ( 1 vote )

Manufacturing Process Control II (edX)

Oct 20th 2020
Manufacturing Process Control II (edX)
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Learn how to control process variation, including methods to design experiments that capture process behavior and understand means to control variability. As part of the Principles of Manufacturing MicroMasters program, this course will build on statistical process control foundations to add process modeling and optimization.Building on formal methods of [...]
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