Explain me a hash table?

76

---

Tell me what is precision and recall?

127

---

Tell me how would you implement a recommendation system for our company's users?

223

---

Tell me what are the last machine learning papers you've read?

206

---

Explain me what is machine learning?

91

---

Tell us how do you handle missing or corrupted data in a dataset?

83

---

Tell me how much data will you allocate for your training, validation and test sets?

177

---

Tell me how a roc curve works?

92

---

Tell me what is the most frequent metric to assess model accuracy for classification problems?

89

---

Tell us why is “naive” bayes naive?

72

---

Do you know what's the “kernel trick” and how is it useful?

72

---

Tell us when should you use classification over regression?

78

---

Tell us when will you use classification over regression?

121

---

Tell us how do you ensure you're not overfitting with a model?

167

---

Tell me what is supervised versus unsupervised learning?

103

---