# 一次又一次又一次

（從我一個尊敬的作家，賽斯·高汀） 溝不是自己挖的。 在大多數情況下，我們處與溝裡因為那正是我們把自己放在哪裡。 行動會成為習慣，習慣會重複，因為做它們讓我們感到安全。 能使事情變得更有趣的最簡單方法，是簡單地停止重複習慣性的行為。 這通常來自對觸發器的反應。刪除那觸發器，您就可以改變習慣。 做微小的變化。做不同方法去記分。 明天是每天都會來。但是我們不必走與昨天同樣的路線。

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# Month: February 2020

# 一次又一次又一次

# Deep Learning Regression Model for Ames Iowa Housing Prices Using TensorFlow Take 6

# Deep Learning Regression Model for Ames Iowa Housing Prices Using TensorFlow Take 5

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Ames Iowa Housing Prices dataset is a regression situation where we are […]

# Time Series Model for Weekly Births in Quebec Using Python

# Deep Learning Regression Model for Allstate Claims Severity Using Python Take 7

# Deep Learning Regression Model for Allstate Claims Severity Using Python Take 6

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Allstate Claims Severity dataset is a regression situation where we are trying […]

# Seth Godin Akimbo: Sample Size

# 每個人都在盡力而為

（從我一個尊敬的作家，賽斯·高汀） 溝不是自己挖的。 在大多數情況下，我們處與溝裡因為那正是我們把自己放在哪裡。 行動會成為習慣，習慣會重複，因為做它們讓我們感到安全。 能使事情變得更有趣的最簡單方法，是簡單地停止重複習慣性的行為。 這通常來自對觸發器的反應。刪除那觸發器，您就可以改變習慣。 做微小的變化。做不同方法去記分。 明天是每天都會來。但是我們不必走與昨天同樣的路線。

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Ames Iowa Housing Prices dataset is a regression situation where we are […]

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a time series prediction model and document the end-to-end steps using a template. The Daily Births in Quebec dataset 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: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Allstate Claims Severity dataset is a regression situation where we are trying […]

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 discussed the trap of false correlation that we often fall into and not realizing. We fall into the trap of […]

（從我一個尊敬的作家，賽斯·高汀） 如果實際上不是真的話那該怎麼辦？如果我們考慮在每個項目的每時每刻，實際上並沒有人在盡力而為，這種可能會更有用。 因為每個人總是需要保留一點儲備。 因為每個人總是有相互競爭的優先事項。 因為每個人的腦海裡都有噪音。 因為每個人都有恐懼，有百百種的恐懼。 因為沒有人真正能完成百分之百的準備和承諾的工作，至少在這個確切的時刻還沒有。 我沒有盡力，你也不是。因為我們不是電腦，我們只是凡人。 好吧，現在我們可以看到沒有人能盡到最大的努力，那我們有什麼其它的選擇？