## 1. Risk ### Part A The board game Risk has simple combat rules: an invading force of 1 to 3 units attacks a defending force of 1 to 3 units. Each invading unit rolls a 6-sided die, and each defending unit rolls a 6-sided die. The highest numbered invading die matches to the highest numbered defending die, then the next highest, etc., as long as there are two dice to match up. For example, if there are two attacking dice and one defending die, only one from each side match up. The side with the higher number on each match up wins, with the defending die winning the tie. Write a function that returns a fair, random `(invading_wins, defending_wins)` for an input `(invading_count, defending_count)`: ```python def random_outcome(invading_count, defending_count): # ... return (invading_wins, defending_wins) ``` Example cases are below. ```python >>> random_outcome(2, 1) (1, 0) >>> random_outcome(2, 1) (0, 1) >>> random_outcome(2, 2) (1, 1) >>> random_outcome(2, 2) (0, 2) >>> random_outcome(2, 2) (2, 0) >>> random_outcome(3, 1) (1, 0) >>> random_outcome(3, 1) (0, 1) ``` ### Part B. Using this function, write a script that prints a good estimate for the probabiltiy of the invader winning at least one for each of the 9 cases of 1..3 invaders and 1..3 defenders. Averaging the result of 1000 evaluations for the same input is good enough estimate of the outcome. Example output is below. ``` with 1 invader and 1 defender, the probably of the invader winning at least one is about 41% ```
Machine Learning Engineer Interviews
Machine Learning Engineer Interview Questions
Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Top Machine Learning Engineer Interview Questions & How to Answer
Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?
Question #2: How would you explain machine learning to someone who doesn't understand it?
Question #3: How do you stay up to date with the latest news and trends in machine learning?
8,212 machine learning engineer interview questions shared by candidates
Describe your project, the tech, the education
Build a Flask API with given signature to do X and Y .. (Home test question)
* How do you quantify performance of an ML system?
* How would you use ML to solve a game developer / technical artist's day-to-day problems?
Algorithm problems, questions about my background and previous achievements, about my approach to a specific machine learning problem, or about my general way of solving a problem
Describe project you're most proud of
Very broad a diverse questions about general ML knowledge, and specific and in-depth ML questions regarding the ongoing research at Unity.
Describe yourself? Details about the completed projects.
Tell me about your research. Given a scenario, how will you solve this with machine learning techniques?
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