The best place to prepare
for machine learning interviews
Learn how to solve the most relevant ML interview questions, step by step.
Test your knowledge with code tests.Learn ML by doing, with detailed guidance.
Solve the most common ML interview questions with real coding challenges.
Stuck? Each question comes with detailed descriptions and hints to break down the solution into manageable steps.
def attention(q, k, v):
scores = torch.bmm(q, k.transpose(1, 2)) / math.sqrt(q.shape[-1])
attn_scores = F.softmax(scores, dim=-1)
return torch.bmm(attn_scores, v)Here's what others have to say about tensortactics:
Prepping for interviews is a real nightmare - super expensive courses with lots of people hawking books telling you how to get this or that dream job, with saved questions. We all know that an interview is dynamic and can throw you curve balls. This tool will allow you to get ready in an adaptive way, with the key frameworks you need to approach problems.
DhruvApplied AI @ Uber
tensortactics has the most relevant and useful materials to prepare for a ML interview, with best coding practices and explanations written by one of the best applied scientists in the field.
HanxiaoResearch Engineer @ Meta
As most coding platforms focus on data structures and algorithms, TensorTactics provides a very welcome addition to help you prepare in a similar way for ML coding interviews. The material and exercises are relevant and up to date and cover a wide range of topics from K-means to Transformers, highly recommend giving it a go if you want to feel more confident going into the coding interview!
PhilipSenior ML Engineer @ Captur
Preparing for ML interviews has become so much easier with TensorTactics. The relevant and challenging questions with the guided approach and provided test cases saves a lot of the pain of interview preparation!
LucaFounding Engineer @ MetaVoice