Workflow
Online TensorFlow Test - Pre-Employment Skill Assessment
What is the test about?
This TensorFlow test assesses candidates' knowledge and skillfulness in using the TensorFlow library for machine learning and dataflow programming to sculpt sophisticated models hosted in a user-friendly environment.
Covered skills
Test creator
Tim Funke
Software Engineer at Telekom
With an 8-year tenure at Deutsche Telekom, Tim Funke has not only demonstrated mastery as a Software Engineer but also excelled as a DevOps Engineer and Data Engineer. Having incorporated technologies such as Python, Docker, and GitLab, Tim's expertise lies in object-oriented programming (OOP), quality control, and continuous integration and delivery (CI/CD). His resume also includes proficiency in varied programming languages like VBA and Go, further showcasing the breadth of his technical capabilities.
Who should take this test?
Back-End Developer, Data Scientist, Full-Stack Developer, Python Developer, Software Developer, Web Developer
Description
TensorFlow is an open-source artificial intelligence library, widely used in machine learning and neural networks for creating and deploying advanced models. It is flexible, powerful, and scalable which allows not only building and training of machine learning models, but also deployment of such models in a wide range of platforms, from small scale applications to large scale distributed systems.
This test assesses the candidates' proficiency in TensorFlow library and its various functions. It evaluates the candidates' understanding of constructing and debugging TensorFlow models, optimizing performance, and handling large scale data. It also assesses their experience with TensorBoard - TensorFlow's visualization toolkit.
The candidates that perform well in this test are capable of leveraging TensorFlow to build complex machine learning models, optimize their performance, and scale them to handle large amounts of data. Their proficiency demonstrates readiness to contribute to data science projects in versatile contexts, ranging from natural language processing and text classification to image recognition and generation, among others.
This test assesses the candidates' proficiency in TensorFlow library and its various functions. It evaluates the candidates' understanding of constructing and debugging TensorFlow models, optimizing performance, and handling large scale data. It also assesses their experience with TensorBoard - TensorFlow's visualization toolkit.
The candidates that perform well in this test are capable of leveraging TensorFlow to build complex machine learning models, optimize their performance, and scale them to handle large amounts of data. Their proficiency demonstrates readiness to contribute to data science projects in versatile contexts, ranging from natural language processing and text classification to image recognition and generation, among others.
Overview
Test creator
Tim Funke
Software Engineer at Telekom
With an 8-year tenure at Deutsche Telekom, Tim Funke has not only demonstrated mastery as a Software Engineer but also excelled as a DevOps Engineer and Data Engineer. Having incorporated technologies such as Python, Docker, and GitLab, Tim's expertise lies in object-oriented programming (OOP), quality control, and continuous integration and delivery (CI/CD). His resume also includes proficiency in varied programming languages like VBA and Go, further showcasing the breadth of his technical capabilities.