Today’s Question: What is Supervised Learning? #interviewprep #machinelearning #datascience
Today’s Question: What is the purpose of forward pass in Neural Network? #interviewprep #datascienceПодробнее
Today’s Question: What are benefits of model fine-tuning, and how does it help with small datasets?Подробнее
Today’s Question: What is Transfer Learning, How it used in #machinelearning? #interviewprepПодробнее
Today’s Ques: Explain concept of K Propagation in Neural Networks? #interviewprep #machinelearningПодробнее
Today’s Ques: What is Variational Auto-encoder (VAE), How they work? #interviewprep #machinelearningПодробнее
Today’s Question: How Dropout help in preventing over-fitting in #deeplearning? #interviewprepПодробнее
Today’s Question: What is Hyper-parameter Optimization Techniques? #interviewprep #machinelearningПодробнее
Today’s Question: What is Word Embedding, how it differ from One-hot Encoding? #interviewprepПодробнее
Today’s Question: How can we efficiently update a surrogate model with new data in machine learning?Подробнее
Today’s Question: What is the role of learning rate in Gradient Descent? #interviewprep #datascienceПодробнее
"Supervised vs Unsupervised – ML Interview MCQ | Machine Learning Shorts" #machinelearning #aiПодробнее
Today’s Question: What are the differences between LSTM & GRUs? #interviewprep #machinelearningПодробнее
Today’s Question: What is Bag of Words (BoW) model, how it represent text data? #interviewprepПодробнее
Today’s Question: Why combine reconstruction loss (e.g. MSE) and KL divergence in a loss function?Подробнее
Today’s Question: what is Bayesian Optimization? #datascience #interviewprep #machinelearningПодробнее
Today’s Question: What is Reinforcement Learning? #interviewprep #machinelearning #datascienceПодробнее
Today’s Ques: What is Named Entity Recognition (NER), how it work? #interviewprep #machinelearningПодробнее
Today’s Ques: What is the purpose of a loss function in ML, and how is it calculated? #interviewprepПодробнее
Today’s Ques: What's the purpose of encoder in a generative model? #interviewprep #machinelearningПодробнее
Today’s Question: What is the purpose of Stop Word Removal in NLP? #interviewprep #machinelearningПодробнее
