Post by account_disabled on Mar 11, 2024 6:02:51 GMT 1
Deep learning is a particular form of machine learning based on neural networks. It involves using principles of neuroscience and backpropagation to correctly model large data sets, both semi-structured and unlabeled. In short, deep learning is the mechanism by which an algorithm learns without supervision. Learn data representations through neural networks. 2. Do you care more about model accuracy or model performance? In this question, you are assessing the candidate's understanding of the nuances of model performance. Machine learning questions typically focus on the details. However, more accurate models may perform worse when making predictions. The candidate should understand that the accuracy of a model is only one aspect of how well the model works. 3. Explain how you would ensure that you do not overfit a model. Your candidate must demonstrate an understanding of the three key paths to avoid overfitting a model. To avoid overfitting a model, a data scientist can: Simplify the model or eliminate some of the noise by reducing the variance.
Use cross-validation tactics , such as k-folds. Use regularization tactics , for example LASSO, to penalize parameters that could allow overfitting 4. What is a hash table? A hash table is a data structure that creates an Bahamas Mobile Number List associative array. A key is assigned to certain values using a hash function. Hash tables are often used to index databases. 5. Explain what you think is the most valuable data in our company. With this question, you check how much your candidate knows about your business model and the sector in general. You also check whether he understands how the data corresponds to your company's results and how he will apply this knowledge in his work. Does it understand the problems your company wants to solve with data? 6. Could you mention some machine learning articles you have read recently or explain how you follow the latest advances in machine learning? The best candidates will stay up to date with the latest scientific reports on machine learning. Look for well-referenced magazines, such as Nature.
Explain how you would reproduce AlphaGo's approach to the game of Go that beat Lee Sedol. The year 2016 was important for the history of deep learning and machine learning. At that time, AlphaGo, a computer program that plays Go, beat the best human Go player, Lee Sedol. Your candidate must demonstrate that they understand how AlphaGo did it. Used Monte-Carlo tree search with deep neural networks . These networks are trained through supervised learning of human games and the game itself. 8. Do you think quantum computing will affect machine learning? As? Here you are testing your candidate's interest in machine learning at a high level and not just their ability to apply it to specific tasks. There have been several important advances in quantum computing. Here you are evaluating your candidate's interest in machine learning at a high level and not just his ability to implement it in specific tasks. There have been several important advances in quantum computing.
Use cross-validation tactics , such as k-folds. Use regularization tactics , for example LASSO, to penalize parameters that could allow overfitting 4. What is a hash table? A hash table is a data structure that creates an Bahamas Mobile Number List associative array. A key is assigned to certain values using a hash function. Hash tables are often used to index databases. 5. Explain what you think is the most valuable data in our company. With this question, you check how much your candidate knows about your business model and the sector in general. You also check whether he understands how the data corresponds to your company's results and how he will apply this knowledge in his work. Does it understand the problems your company wants to solve with data? 6. Could you mention some machine learning articles you have read recently or explain how you follow the latest advances in machine learning? The best candidates will stay up to date with the latest scientific reports on machine learning. Look for well-referenced magazines, such as Nature.
Explain how you would reproduce AlphaGo's approach to the game of Go that beat Lee Sedol. The year 2016 was important for the history of deep learning and machine learning. At that time, AlphaGo, a computer program that plays Go, beat the best human Go player, Lee Sedol. Your candidate must demonstrate that they understand how AlphaGo did it. Used Monte-Carlo tree search with deep neural networks . These networks are trained through supervised learning of human games and the game itself. 8. Do you think quantum computing will affect machine learning? As? Here you are testing your candidate's interest in machine learning at a high level and not just their ability to apply it to specific tasks. There have been several important advances in quantum computing. Here you are evaluating your candidate's interest in machine learning at a high level and not just his ability to implement it in specific tasks. There have been several important advances in quantum computing.