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 […]
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 […]
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 […]
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 […]
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 […]
In his Akimbo podcast, Seth Godin teaches us how to adopt a posture of possibility, change the culture, and choose to make a difference. Here are my takeaways from the episode. In this podcast, Seth discusses 17 changes that videoconferencing has influenced the way we work and live, compared to the traditional meetings. We need […]
（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。
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 […]
