這是誰的會議?

(從我的一個喜歡與尊敬的作家,賽斯 高汀) 一個簡單的清單,一題一分。 你的下一次會議(不是會話,不是演講,還是會議)能通過這個測試嗎? 一)有一個人要負責。 二)只用分配的時間與所需的時間匹配,而不是日曆上所說的時間。 三)被邀請的每一個人都是需要在那裡,並且關鍵的人都在。 四)如果有人不來,那表示那個人的默認。 五)沒有比這個會議有更好的方式來推動這一進展。 六)明確陳述期望的結果。 組織者要描述“這就是我想要發生的事情”或是有“是的,我們就完成了”,那這個會議就可以結束了。 七)所有相關的信息與包括分析,都可以在會議之前有大量時間去進行審查。 如果你能得到全部七分,我會來參加。

Regression Machine Learning Template Using Python

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly. Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that can be used to support regression ML problems using Python. The purpose of […]

They Are Not Trying to be Creepy

In his podcast, Akimbo [https://www.akimbo.me/], 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. Our cultures and our lives are inextricably linked with media, and someone has pay for the media we consume. We can pay for […]

Simple Classification Model for Bank Marketing Using Python

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Bank Marketing Dataset Dataset ML Model: Binary classification with numerical and categorical attributes Dataset Reference: http://archive.ics.uci.edu/ml/datasets/bank+marketing One source of potential performance benchmarks: https://www.kaggle.com/rouseguy/bankbalanced INTRODUCTION: The Bank Marketing dataset involves predicting the whether the bank clients will subscribe […]

什麼是和什麼可能是

(從我的一個喜歡與尊敬的作家,賽斯 高汀) 他們的共同點比你想像的要少得多。 創造更美好未來的關鍵步驟就是堅持不以過去的假設,不滿,和死胡同來做為基礎。 未來將不會十全十美。我們也不會變成為完美。但是我們可以變的更善良。 我們可以去多聽。 我們甚至可以給予自己多幾個機會。 未來並不總是會成功。 我們不會總是能成功。 但我們可以保持警惕並尋求可能,而不只是聽從他人的預測。 未來並不總是公平的。 但我們可以嘗試,我們可以關心,我們可以選擇與他人共鳴與合作。 事情會變更好如果我們能給我們自己一個許可去做。

Stakeholder Analysis

In the book, Bare Bones Change Management: What you shouldn’t not do, Bob Lewis explained the seven must-have elements for any change management effort to have a chance of succeeding. Here are my takeaways from one of the topics discussed in the book. Change efforts do not succeed just because they are right for the […]

Multi-Class Machine Learning Template Using Python

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly. Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that can be used to support multi-class ML problems using Python. The purpose of […]