Image Regression Model for MNIST Handwritten Digits Using Python and AutoKeras

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The MNIST Handwritten Digits dataset is an image classification situation where we attempt to predict one of […]

Image Classification Model for MNIST Handwritten Digits Using Python and AutoKeras

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The MNIST Handwritten Digits dataset is an image classification situation where we attempt to predict one of […]

Time Series Model for University of Michigan Inflation Expectation Using Python and ARIMA

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a time series prediction model and document the end-to-end steps using a template. The Inflation Expectation dataset from the University of Michigan is a time series situation where we are trying to forecast […]

Binary Classification Model for CycleGAN Horse vs. Zebra Using TensorFlow Take 3

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The CycleGAN Horse vs. Zebra dataset is a binary classification situation where we attempt to predict one […]

Binary Classification Model for CycleGAN Horse vs. Zebra Using TensorFlow Take 2

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The CycleGAN Horse vs. Zebra dataset is a binary classification situation where we attempt to predict one […]

錯誤的選擇

(從我一個尊敬的作家,賽斯·高汀) 當我們自由地做出個選擇,那個選擇會感覺就像是一個正確的行動。 但是,一旦我們意識到這是個錯誤, 我們通常不知道將來會學到什麼。 錯誤的選擇有可能是由於: 信息上的差距 劣質的分析(包括認知故障和對沉沒成本的依賴) 來自同輩的壓力 被操縱 被喧囂 權力上的不平衡 太專注於短期 被灌輸 過於迷信 未經審查的偏見 看一看:這些都是外來的產物,我們可以不學習也可以與它們隔離。這好消息是我們可以在處理選擇方面上來做得更好。

Binary Classification Model for CycleGAN Horse vs. Zebra Using TensorFlow Take 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The CycleGAN Horse vs. Zebra dataset is a binary classification situation where we attempt to predict one […]