Elena Grewal, Data Science Manager, Airbnb at MLconf SF 2016MLconf
Before the Model: How Machine Learning Products Start, with Examples from Airbnb: Often the most important part of building a machine learning product is the formulation of the problem; the most elegant model is rendered useless without the right application and model architecture. Airbnb is an online marketplace for accommodations which has found many interesting applications for machine learning products by taking a data driven approach to investment in Machine learning products. Come hear about how the Airbnb team generates and vets ideas for machine learning products and tailors the product to business problems, with some examples of success and lessons learned along the way.
Elena Grewal, Data Science Manager, Airbnb at MLconf SF 2016MLconf
Before the Model: How Machine Learning Products Start, with Examples from Airbnb: Often the most important part of building a machine learning product is the formulation of the problem; the most elegant model is rendered useless without the right application and model architecture. Airbnb is an online marketplace for accommodations which has found many interesting applications for machine learning products by taking a data driven approach to investment in Machine learning products. Come hear about how the Airbnb team generates and vets ideas for machine learning products and tailors the product to business problems, with some examples of success and lessons learned along the way.
9. 四、連接詞與介詞
• 英文有一定文法
man and wife, you and I,
back and forth
• 中文用「夫妻」、「你我」、
「前後」就夠了
9
…在 and 意識的教唆下,都裝上了連接詞;而所謂連接詞都由「和」、
「與」、「及」、「以及」包辦,可是靈活而宛轉的「而」、「並」、
「而且」等詞,幾乎要絕跡了。 (但也不要不當而而而!)。
slow but sure在中文裏該說「慢而可靠」或者「緩慢而有把握」,
卻不可說「慢及可靠」或者「緩慢與有把握」。
• 關於那篇報導,你覺得怎樣? → 那篇報導你覺得怎樣?
• 由於他的家境貧窮,使得他只好休學
介詞、連結詞
1. 該用時才用
2. 用的時候,多找幾個選擇
3. 怎樣兼顧邏輯和優美