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Question 74/112
You are working on a Neural Network-based project. The dataset provided to you has columns with different ranges. While preparing the data for model training, you discover that gradient optimization is having difficulty moving weights to a good solution. What should you do?
Correct Answer: B
Representation transformation (normalization) is a technique that transforms the features to be on a similar scale, such as between 0 and 1, or with mean 0 and standard deviation 1. This technique can improve the performance and training stability of the neural network model, as it can prevent the gradient optimization from being dominated by features with larger scales, and help the model converge faster and better. There are different types of normalization techniques, such as min-max scaling, z-score scaling, log scaling, etc. You can learn more about normalization techniques from the following web search results:
* Normalization | Machine Learning | Google for Developers
* NORMALIZATION TECHNIQUES IN TRAINING DNNS: METHODOLOGY, ANALYSIS AND ...
* Visualizing Different Normalization Techniques | by Dibya ... - Medium
* Data Normalization Techniques: Easy to Advanced (& the Best)
* Normalization | Machine Learning | Google for Developers
* NORMALIZATION TECHNIQUES IN TRAINING DNNS: METHODOLOGY, ANALYSIS AND ...
* Visualizing Different Normalization Techniques | by Dibya ... - Medium
* Data Normalization Techniques: Easy to Advanced (& the Best)
- Question List (112q)
- Question 1: You work for a retail company. You have been tasked with bui...
- Question 2: You manage a team of data scientists who use a cloud-based b...
- Question 3: You want to train an AutoML model to predict house prices by...
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- Question 7: You are developing an ML model intended to classify whether ...
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- Question 9: You have trained a model on a dataset that required computat...
- Question 10: You have created a Vertex Al pipeline that automates custom ...
- Question 11: You recently deployed a scikit-learn model to a Vertex Al en...
- Question 12: You need to build classification workflows over several stru...
- Question 13: Your team needs to build a model that predicts whether image...
- Question 14: You work for a gaming company that has millions of customers...
- Question 15: You work for a retail company. You have been asked to develo...
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- Question 19: You need to train a natural language model to perform text c...
- Question 20: You are working with a dataset that contains customer transa...
- Question 21: You are training an ML model on a large dataset. You are usi...
- Question 22: You work for a bank and are building a random forest model f...
- Question 23: While performing exploratory data analysis on a dataset, you...
- Question 24: You are an ML engineer at a bank that has a mobile applicati...
- Question 25: You recently trained an XGBoost model on tabular data You pl...
- Question 26: You work for a biotech startup that is experimenting with de...
- Question 27: You have a functioning end-to-end ML pipeline that involves ...
- Question 28: You lead a data science team at a large international corpor...
- Question 29: You recently created a new Google Cloud Project After testin...
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- Question 31: You are a data scientist at an industrial equipment manufact...
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- Question 33: You manage a team of data scientists who use a cloud-based b...
- Question 34: You have been tasked with deploying prototype code to produc...
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- Question 37: You recently deployed a model lo a Vertex Al endpoint and se...
- Question 38: You are an ML engineer at a global car manufacturer. You nee...
- Question 39: You are developing ML models with Al Platform for image segm...
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- Question 41: While monitoring your model training's GPU utilization, you ...
- Question 42: You are investigating the root cause of a misclassification ...
- Question 43: You have recently created a proof-of-concept (POC) deep lear...
- Question 44: You recently joined an enterprise-scale company that has tho...
- Question 45: Your company manages an application that aggregates news art...
- Question 46: You are developing a Kubeflow pipeline on Google Kubernetes ...
- Question 47: You are developing an ML model that uses sliced frames from ...
- Question 48: You are an ML engineer at a manufacturing company You are cr...
- Question 49: You work for a large technology company that wants to modern...
- Question 50: You have trained a model by using data that was preprocessed...
- Question 51: You are training a custom language model for your company us...
- Question 52: Your team is building a convolutional neural network (CNN)-b...
- Question 53: You developed a custom model by using Vertex Al to predict y...
- Question 54: You built a deep learning-based image classification model b...
- Question 55: You developed a custom model by using Vertex Al to forecast ...
- Question 56: You are developing a training pipeline for a new XGBoost cla...
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- Question 58: You recently trained a XGBoost model that you plan to deploy...
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- Question 60: You have written unit tests for a Kubeflow Pipeline that req...
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- Question 64: You are building a real-time prediction engine that streams ...
- Question 65: You work on a growing team of more than 50 data scientists w...
- Question 66: You are developing an ML model using a dataset with categori...
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- Question 68: You have created a Vertex Al pipeline that includes two step...
- Question 69: You are experimenting with a built-in distributed XGBoost mo...
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- Question 72: You have developed a BigQuery ML model that predicts custome...
- Question 73: You are an ML engineer at an ecommerce company and have been...
- Question 74: You are working on a Neural Network-based project. The datas...
- Question 75: You are training models in Vertex Al by using data that span...
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- Question 78: You recently used XGBoost to train a model in Python that wi...
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- Question 84: Your work for a textile manufacturing company. Your company ...
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- Question 88: You need to train a regression model based on a dataset cont...
- Question 89: You created an ML pipeline with multiple input parameters. Y...
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- Question 91: You work for a pharmaceutical company based in Canada. Your ...
- Question 92: You have built a custom model that performs several memory-i...
- Question 93: You work for an online retail company that is creating a vis...
- Question 94: You are going to train a DNN regression model with Keras API...
- Question 95: You are developing a model to identify traffic signs in imag...
- Question 96: You are developing an ML model to identify your company s pr...
- Question 97: You deployed an ML model into production a year ago. Every m...
- Question 98: You need to design a customized deep neural network in Keras...
- Question 99: You are developing a model to predict whether a failure will...
- Question 100: Your organization wants to make its internal shuttle service...
- Question 101: You work for a startup that has multiple data science worklo...
- Question 102: You are building a MLOps platform to automate your company's...
- Question 103: You are pre-training a large language model on Google Cloud....
- Question 104: You are an ML engineer on an agricultural research team work...
- Question 105: You are profiling the performance of your TensorFlow model t...
- Question 106: You need to use TensorFlow to train an image classification ...
- Question 107: You work for a social media company. You want to create a no...
- Question 108: You are building an ML model to detect anomalies in real-tim...
- Question 109: You are developing a custom image classification model in Py...
- Question 110: You are building a linear model with over 100 input features...
- Question 111: You have deployed a scikit-learn model to a Vertex Al endpoi...
- Question 112: You are creating a deep neural network classification model ...
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