Colby Jack Jensen is a 24 year old male who present to the ER with symptoms of; nausea, headache, and fever of 103.2 degrees Fahrenheit. ER doctor ordered a CBC with differential results are as follows; RBC 5; Hemoglobin 14 g/dl; Hematocrit 41%; WBC 13,000; Segmented neutrophils 71, Basophils 0, Eosinophils 1, Lymphocytes 24, and Monocytes 8.    Based on Colby Jack’s CBC results what type of condition does he have? What lead you to get this diagnosis? 

Jimmy is a 13 year old male, brought to the doctor by his dad. Jimmy has been having; nausea, vomiting, tiredness, muscle soreness, and fever of 101.9 degrees Fahrenheit. CBC with differential ordered on Jimmy shows the following results;  RBC 6; Hemoglobin 14 g/dl; Hematocrit 42%, WBC 14,000, Segmented neutrophils 55%; Basophils 0, Eosinophils 0, Lymphocytes 54, and Monocytes 7.    Based on Jimmy’s CBC results, what type of condition does he have? What lead you to get this diagnosis? 

Explain why a person with kidney failure could develop anemia.

Which of the following mappings is bijection and invertible?

Match the generative models on the left their correct training losses on the right.

Using the top 2 options, here is a tree of all the possible German translations of an English sentence utpo the third step. The scores are written on the connecting edges of the tree with larger stores being better. Using beam search with k = 2, answer the following questions. What words are selected at step 2? [ans1] What words are selected at step 3? [ans2] What is the winning translation upto the final third step?[ans3]

Select the options below that make the statements below correct: Models based on the encoder/decoder Seq2Seq architecture are [ans1]. Transformers are [ans2] models that [ans3] about sequence order. BERT models are [ans4], BART models are [ans5], and GPT models are [ans6]. In the original transformer architecture, [ans7] must be divisible by [ans8].

Given the following ConvNet, answer the following questions: How many total parameters (biases and weights) does this network have? [ans1] Break these parameters down into biases and weights per every layer? Show your work. Conv2d 1 MaxPool2d 2 Conv2d 2 MaxPool2d 2 Linear 1 Linear 2 # of Biases [ans2] [ans4] [ans6] [ans8] [ans10] [ans12] # of Weights [ans3] [ans5] [ans7] [ans9] [ans11] [ans13] What would the total number parameters be if the input image size changes to 256 x 256?[ans14]

Which of the following statements is NOT true regarding an unpriced financing round?

Using the industry’s average P/E ratio, what is the expected value of this firm in five year?