Valere Labs ml engineer Interview Questions and Answers

Q1. What are python decorators
Ans. 
Python decorators are functions that modify the behavior of other functions or methods.
• Decorators are denoted by the @ symbol followed by the decorator function name.

• They are commonly used for adding functionality to existing functions without modifying their code.

• Decorators can be used for logging, timing, authentication, caching, etc.

• Example: @staticmethod decorator in Python is used to define a method that is not bo
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Q1. Only one round was there
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Q1. Tell about sql joins
Ans. 
SQL joins are used to combine rows from two or more tables based on a related column between them.
• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

• INNER JOIN returns rows when there is at least one match in both tables.

• LEFT JOIN returns all rows from the left table and the matched rows from the right table.

• RIGHT JOIN returns all rows from the right table and the matched rows from the left table.

• F...read more
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Q2. What ks difference between delete and update
Ans. 
Delete removes a record entirely, while update modifies an existing record.
• Delete removes the entire record from the database

• Update modifies specific fields of an existing record

• Delete is irreversible, while update can be undone by another update

• Example: Deleting a user account vs updating the user's email address
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Q1. What is linear regression
Ans. 
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
• Linear regression aims to find the best-fitting straight line that describes the relationship between variables.

• It is commonly used for predicting numerical values based on input features.

• The equation for a simple linear regression model is y = mx + b, where y is the dependent vari...read more
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Q2. What is support vector machine
Ans. 
Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks.
• SVM finds the hyperplane that best separates different classes in the feature space

• It works by maximizing the margin between the closest data points from different classes

• SVM can handle non-linear data by using kernel functions to map data into higher-dimensional space

• Examples: classifying emails as spam...read more
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Q1. What is difference between object detection and segmentation in image
Ans. 
Object detection identifies objects in an image, while segmentation assigns a label to each pixel in the image.
• Object detection involves identifying and locating objects within an image, often using bounding boxes.

• Segmentation assigns a class label to each pixel in the image, creating a pixel-wise mask for each object.

• Object detection is typically used when the goal is to identify and locate multiple objects in an imag...read more
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Q2. Technology used in camera sensor
Ans. 
Camera sensors use various technologies such as CMOS and CCD to capture images.
• CMOS (Complementary Metal-Oxide-Semiconductor) sensors are commonly used in modern digital cameras for their low power consumption and high image quality.

• CCD (Charge-Coupled Device) sensors are another type of sensor used in some cameras, known for their high-quality images but higher power consumption.

• Other technologies used in camera senso...read more
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Q1. Q. explain your project Q. Project-related questions asked basic to hard Q. What is backpropagation in deep learning? Q. What is the Hugging Face module and working Q. Object detection YOLO NAS Vs YOLO 8
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Q1. Steps of pre-processing
Ans. 
Pre-processing steps involve cleaning, transforming, and preparing data for machine learning models.
• Data cleaning: removing missing values, duplicates, and outliers

• Data transformation: scaling, encoding categorical variables, and feature engineering

• Data normalization: ensuring all features have the same scale

• Data splitting: dividing data into training and testing sets
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Q2. What is lemmatization ?
Ans. 
Lemmatization is the process of reducing words to their base or root form.
• Lemmatization helps in standardizing words for analysis.

• It reduces inflected words to their base form.

• For example, 'running' becomes 'run' after lemmatization.
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Discussion on Gradient, SGD, K Mean ++, Silhouette Score, How to Handle High Variation Data,
Coding asked to code KNN, Hyper-Parameter Tuning, Two Difficult Questions on Coding...DSA Based Stumped on Those.

Verdict... Not Selected

Simple Coding No Chat GPT Support Should Be There