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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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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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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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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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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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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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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