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Convolutional Neural Networks - Deep Learning Specialization 4

deeplearning.ai by Andrew Ng on Coursera W1: Foundations of Convolutional Neural Networks V1: computer vision problem types: classification / object detection / style transfer full-connected (FC) NN cannot handle high resolution pictures due to huge matrix after reshape an image as one dimension Convolution in DL V2&V3: edge detecti...
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  • Coursera
  • Notes
  • Study
  • Deep Learning
  • Data Science
Dec 25, 2017

Structuring Machine Learning Projects - Deep Learning Specialization 3

deeplearning.ai by Andrew Ng on Coursera W1: ML Strategy 1 Introduction to ML strategy V1: course target – how to effectively tune your ML V2: orthogonalization of the tuning each operation only tunes one factor, like width or length of a TV Setting up your goal V1: single real number evaluation metric speed up your iteration by ...
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  • Coursera
  • Notes
  • Study
  • Deep Learning
  • Data Science
Dec 06, 2017

Improving Deep Neural Networks - Deep Learning Specialization 2

deeplearning.ai by Andrew Ng on Coursera Full Course Name: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization W1: Practical aspects of Deep Learning Setting up your Machine Learning Application Applied ML is a highly iterative process, need a lot cycles as below Train / Development / Test sets Bias an...
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  • Coursera
  • Notes
  • Study
  • Deep Learning
  • Data Science
Dec 04, 2017

Neural Networks and Deep Learning - Deep Learning Specialization 1

deeplearning.ai by Andrew Ng on Coursera W1: Introduction to Deep Learning Supervised Neural Network Why Neural Network is Taking Off W2: Neural Network Basic illustrated by Logistic Regression Notation and Matrix logistic regression weight stack in rows, and samples stack in columns (transposed matrix compared to traditional ML) ...
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  • Coursera
  • Notes
  • Study
  • Deep Learning
  • Data Science
Nov 20, 2017

Applied Machine Learning - Microsoft Certificate in Data Science 9a

1. Time Series and Forecasting Introduction to Time Series Finance / stock / currency exchange rate / sales forecast / temperature / heartrate / Semicon ET and inline long-term trend / … The Nature of Time Series Data Time Series vs. Random or Independent Noise Autocorrelation: value at has correlation with the value at following Autoco...
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  • Microsoft
  • Notes
  • Study
  • Machine Learning
  • Data Science
Sep 20, 2017

Programming with Python for Data Science - Microsoft Certificate in Data Science 8b

1. The Big Picture Data Science and Analysis Keep your goal in mind and be careful when collecting data Good data is the more important than algorithm itself (TensorFlow by Google) Machine Learning Data has pattern, so we can learn from it (A leads B, like poking balloon –&...
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  • Microsoft
  • Notes
  • Study
  • Python
  • Data Science
Aug 28, 2017

Querying Data with Transact-SQL - Microsoft Certificate in Data Science 2

1. Introduction to Transact-SQL What is Transact-SQL Structured Query Language (SQL) T-SQL is for SQL server and Azure SQL Database SQL is declarative, not procedural – describe what you want, don’t specify steps Relational Databases (like the relationship used in Power Pivot between different tabl...
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  • Microsoft
  • Notes
  • Study
  • SQL
  • Data Science
May 16, 2017

14 post articles, 2 pages.

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