Machine Learning Interview Questions
Self-paced videos, Lifetime access, Study material, Certification prep, Technical support, Course Completion Certificate
Uplatz
Summary
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- Uplatz Certificate of Completion - Free
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Overview
Uplatz provides this in-depth course on Interview Questions on Machine Learning. It is a self-paced course consisting of video tutorials. You will be awarded Course Completion Certificate at the end of the course.
This course by Uplatz focuses on commonly asked Interview Questions on Machine Learning.
A Machine Learning interview calls for a rigorous interview process where the candidates are judged on various aspects such as technical and programming skills, knowledge of methods and clarity of basic concepts. If you aspire to apply for machine learning jobs, it is crucial to know what kind of interview questions generally recruiters and hiring managers may ask.
Machine learning interview questions are an integral part of the data science interview and the path to becoming a data scientist, machine learning engineer, or data engineer. In this course, we have enlisted a list of key machine learning interview questions that you might encounter in a machine learning interview. We’ve also provided some handy answers to go along with them so you can ace your machine learning job interview (or machine learning internship).
Usually, machine learning interviews at major companies require a thorough knowledge of data structures and algorithms. In this course, we shall start from the basics of concepts and build upon these concepts to solve major interview questions. Machine learning interviews comprise of many rounds, which begin with a screening test. This course comprises solving questions either on the white-board, or solving it on online platforms like HackerRank, LeetCode etc.
Certificates
Reed courses certificate of completion
Digital certificate - Included
Will be downloadable when all lectures have been completed
Uplatz Certificate of Completion
Digital certificate - Included
Course Completion Certificate by Uplatz
Curriculum
Course media
Description
Machine Learning
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Machine learning is used in internet search engines, email filters to sort out spam, websites to make personalised recommendations, banking software to detect unusual transactions, and lots of apps on our phones such as voice recognition.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
The types of machine learning algorithms are mainly divided into four categories: Supervised learning, Un-supervised learning, Semi-supervised learning, and Reinforcement learning.
Who is this course for?
Everyone
Requirements
Passion to learn and succeed!
Career path
- Machine Learning Engineer
- Data Scientist - NLP/TensorFlow
- Deep Learning Engineer
- General Analytics Engineer - Machine Learning
- Software Engineer - Python/TensorFlow
- Senior Data Scientist - Machine Learning/TensorFlow
- Python Developer - TensorFlow
- Data Analyst/Consultant
- AI/ML Developer
- Deep Learning Specialist Data Scientist
- Deep Learning Specialist
- Machine Learning Engineer - Computer Vision
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This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
