When choosing treatment targets, what does it mean to consider age of acquisition?  

When choosing treatment targets, what does it mean to consider frequency of occurrence?  

In regard to a speech sound assessment, what does stimulability refer to?

The Case Analysis portion of this exam is worth 50 points in total. You must read this case carefully to understand how cloud-based products (SaaS models) are sold when pursuing inbound and outbound sales model strategies. Focus on: Understanding what the SaaS model is and how it works The main differences between Dropbox’s inbound and outbound sales model Understanding how inbound and outbound sales models are evaluated to determine the best ROI decision.  For questions 1-7, the following case assumptions apply (make sure you note these) Churn Rate of Monthly Plan (Annualized): 30% Churn Rate of Annual Plan: 10% Gross Margin: 90% Inbound Sales Mix: 80% Annual/20% Monthly Outbound Sales Mix: 100% Annual Average Seats per Deal: 10 seats (inbound), 250 seats (outbound) Inbound Costs per Ad Click: US$8 Inbound Ad Click to Purchase Conversion Rate: 1% Outbound Discount from List Price: 20% Outbound Quota per Sales Rep: $400,000 Outbound Cost per Sales Rep (“All In”): $300,000 Case Dropbox_Go to Market Sales Strategy.pdf

Assume the CAC for inbound sales is $800, where Dropbox pays $8 per click for digital advertising with a 1 percent conversion rate. If the team spent the remaining advertising budget on online advertising for inbound sales, how many new customers could Dropbox hypothetically expect to acquire? 

What are the challenges that make Named Entity Recognition (NER) a difficult task?  

Given a document containing 1,000 words in which the term “car” appears 25 times, what is the Term Frequency (TF) for “car”?

Given a document containing 1,000 words in which the term “car” appears 25 times. Additionally, within a collection of 15,000 related documents, if 300 of these documents contain the term “car”, what is the Inverse Document Frequency (IDF) for “car”?

Which computational model is commonly used in language processing for representing word meaning?  

Compute the similarity of (cherry, information) and (digital, information) based on the term-context matrix.   pie data computer cherry 442 8 2 digital 5 1683 1670 information 5 3982 3325 which pair are more similar and what is the cosine similaity?