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[ [ [ "## Working with XSPEC models\n\nOne of the most powerful aspects of **XSPEC** is a huge modeling community. While in 3ML, we are focused on building a powerful and modular data analysis tool, we cannot neglect the need for many of the models thahat already exist in **XSPEC** and thus provide support ...

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[ [ [ "# The Extended Kalman Filter\n\n선형 칼만 필터 (Linear Kalman Filter)에 대한 이론을 바탕으로 비선형 문제에 칼만 필터를 적용해 보겠습니다. 확장칼만필터 (EKF)는 예측단계와 추정단계의 데이터를 비선형으로 가정하고 현재의 추정값에 대해 시스템을 선형화 한뒤 선형 칼만 필터를 사용하는 기법입니다.\n\n비선형 문제에 적용되는 성능이 더 좋은 알고리즘들 (UKF, H_infinity)이 있지만 EKF 는 아직도 널리 사용되서 관련성이 높습니다.", "_____no_output____...

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[ [ [ "# Method for visualizing warping over training steps", "_____no_output_____" ] ], [ [ "import os\nimport imageio\nimport numpy as np\nimport matplotlib.pyplot as plt", "_____no_output_____" ], [ "np.random.seed(0)", "_____no_output_____" ] ], ...

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[ [ [ "# Lesson 05 \n\n## Time Enabled Data\n\n", "_____no_output_____" ] ] ]

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[ [ [ "# Deep Learning & Art: Neural Style Transfer\n\nWelcome to the second assignment of this week. In this assignment, you will learn about Neural Style Transfer. This algorithm was created by Gatys et al. (2015) (https://arxiv.org/abs/1508.06576). \n\n**In this assignment, you will:**\n- Implement the n...

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Introduction to Neural Networks/StudentAdmissions.ipynb

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Introduction to Neural Networks/StudentAdmissions.ipynb

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[ [ [ "# Predicting Student Admissions with Neural Networks\nIn this notebook, we predict student admissions to graduate school at UCLA based on three pieces of data:\n- GRE Scores (Test)\n- GPA Scores (Grades)\n- Class rank (1-4)\n\nThe dataset originally came from here: http://www.ats.ucla.edu/\n\n## Load...

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