Machine Learning System Design Study Notes (1)

Machine learning goals: Let machines learn to complete tasks through several instances.

Statistics is a field that machine learning experts often study.

The machine learning method is not a waterfall process. It needs to be analyzed, explored, and tried repeatedly.

Python is considered a very effective modeling language.

One idea is that algorithms are not the most time-consuming, and the time-consuming is:

1. Read and clean data.

2. explore and understand input data.

3. analyze how to best present data to learning algorithms.

4. Select the correct model and learning algorithm.

5. Evaluate the performance correctly.

 

Opinion: Some statistical knowledge is required.

Opinion: Data and algorithms are equally important.

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Some websites are recommended to help solve the problem:

Http://metaoptimize.com/qa

Http://www.TwoToReal.com

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Software numpy and scipy to be installed

You can install the SDK directly through PIP.

Numpy Tutorial: http://wiki.scipy.org/Tentative_NumPy_Tutorial

You need to know how to use some tools in the scipy toolbox.

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Http://www.kaggle.com/the home of Data Science

Http://www.ituring.com.cn/book/1192 sample code download site

 

Machine Learning System Design Study Notes (1)