How to implement np.sum() along a given axis? What to do if you have a lot of unlabeled samples and little labeled samlpes? Design a neural network to take a max of two numbers
Machine Learning Engineer Interview Questions
6,178 machine learning engineer interview questions shared by candidates
What is overfitting and how to avoid or detect it? What is backpropagation?
Perguntas sobre soluções para problemas de machine learning.
Basic debugging, SQL queries, inheritance.
Exercise The attached CSV file lists the customer, date, and dollar value of orders placed at a store in 2017. The actual gender and predicted gender of each customer is also provided. Complete each of the following activities in a jupyter notebook using Python. Put your name and email at the top of the notebook and include your name in the notebook file name. Send back only your notebook file and please do not zip it. Please do not exclude $0 orders. A) Assemble a dataframe with one row per customer and the following columns: * customer_id * gender * most_recent_order_date * order_count (number of orders placed by this customer) Sort the dataframe by customer_id ascending and display the first 10 rows. B) Plot the count of orders per week for the store. C) Compute the mean order value for gender 0 and for gender 1. Do you think the difference is significant? Justify your choice of method. D) Generate a confusion matrix for the gender predictions of customers in this dataset. You can assume that there is only one gender prediction for each customer. What does the confusion matrix tell you about the quality of the predictions? E) Describe one of your favorite tools or techniques and give a small example of how it's helped you solve a problem. Limit your answer to one paragraph, and please be specific. For each question, state any considerations or assumptions you made.
Bayes theorem question Sorting Algorithms Simulate dice rolls
Real time and near real time machine learning pipelines architeture and components.
What are some challenges you faced in your previous role
What's the biggest challenge of your XX project?
Asked about my previous experience.
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