This is a story related to machine learning and all data science skill.
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Steps for building a Machine Learning
1.Asking Questions
2.Data Preparation(Preprocessing:Categorial feature,missing value and standardization;feature selection)
3.Building Models with Different Hyperparameters
4.Test and Evaluate Models
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Machine Learning Models
1.Objective function (loss function)
2.Approximation function (to approximate the true function)
3.Optimization Method (to optimize the objective function)
| Name | Material & Assignment & Reference |
|---|---|
| Level 12 : Deep Learning | M：TF-IDF使用 M：nltk M：What's cooking M：Keras PDF M：Keras Demo R：卷積神經網絡介紹(Convolutional Neural Network) R：關於影像辨識，所有你應該知道的深度學習模型 R：OCR技术：大批量构造中文文字训练集 R：Google Cloud Vision API R：Google Cloud Text API |