Question 51 to 100

You work on a growing team of more than 50 data scientists who all use AI Platform. You are desig...

You are training a deep learning model for semantic image segmentation with reduced training time...

Your team is working on an NLP research project to predict political affiliation of authors based...

Your team has been tasked with creating an ML solution in Google Cloud to classify support reques...

You recently joined a machine learning team that will soon release a new project. As a lead on th...

You work for a credit card company and have been asked to create a custom fraud detection model b...

Your company manages a video sharing website where users can watch and upload videos. You need to...

You are working on a Neural Network-based project. The dataset provided to you has columns with d...

Your data science team needs to rapidly experiment with various features, model architectures, an...

You work for a bank and are building a random forest model for fraud detection. You have a datase...

You are using transfer learning to train an image classifier based on a pre-trained EfficientNet ...

While conducting an exploratory analysis of a dataset, you discover that categorical feature A ha...

You work for a large retailer and have been asked to segment your customers by their purchasing h...

You recently designed and built a custom neural network that uses critical dependencies specific ...

While monitoring your model training’s GPU utilization, you discover that you have a native synch...

Your data science team is training a PyTorch model for image classification based on a pre-traine...

You have a large corpus of written support cases that can be classified into 3 separate categorie...

You need to quickly build and train a model to predict the sentiment of customer reviews with cus...

You need to build an ML model for a social media application to predict whether a user’s submitte...

You lead a data science team at a large international corporation. Most of the models your team t...

You need to train a regression model based on a dataset containing 50,000 records that is stored ...

You are building a linear model with over 100 input features, all with values between –1 and 1. Y...

You work for a global footwear retailer and need to predict when an item will be out of stock bas...