Question about Machine Learning
$10-30 CAD
Paid on delivery
Imagine that you would like to predict if your favorite table will be free at your favorite restau- rant. The only additional piece of information you can collect, however, is if it is sunny or not sunny. You collect paired samples from visit of the form (is sunny, is table free), where it is either sunny (1) or not sunny (0) and the table is either free (1) or not free(0).
(a). How can this be formulated as a maximum likelihood problem?
(b). Assume you have collected data for the last 10 days and computed the maximum likelihood solution to the problem formulated in (a). If it is sunny today, how would you predict if your table will be free?
(c). Imagine now that you could further gather information about if it is morning, afternoon, or evening. How does this change the maximum likelihood problem?
Project ID: #15277160
About the project
7 freelancers are bidding on average $38 for this job
Hi, i have 4 years of experience in Machine learning concepts. so this is an easy project for me. i can help you with this. we can have a chat. thanks Relevant Skills and Experience machine learning, AI Proposed Mile More
why not just ask on stackoverflow? Relevant Skills and Experience data science, machine learning Proposed Milestones $15 CAD - You really should ask on stack overflow $10 CAD - Then it can be free
Hi, I have review your questions, I have solutions for your questions. You can get all the predictions by using data mining algorithm NaiveBayesian. If you want i can show you one sample data. Relevant Skills and Expe More
Hello, been well versed with machine learning, I am here to help you answer your questions. The questions will be simple and clear to read. Welcome
