Machine Learning Interview Questions

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.

• Interview Questions - Machine Learning - all lectures 3:25:28

  • 1: Lecture 1 - ML Interview Questions & Answers Preview 19:01
  • 2: Lecture 2 - ML Interview Questions & Answers 20:55
  • 3: Lecture 3 - ML Interview Questions & Answers 10:43
  • 4: Lecture 4 - ML Interview Questions & Answers 19:28
  • 5: Lecture 5 - ML Interview Questions & Answers 14:51
  • 6: Lecture 6 - ML Interview Questions & Answers 23:00
  • 7: Lecture 7 - ML Interview Questions & Answers 20:01
  • 8: Lecture 8 - ML Interview Questions & Answers 22:09
  • 9: Lecture 9 - ML Interview Questions & Answers 08:41
  • 10: Lecture 10 - ML Interview Questions & Answers 23:17
  • 11: Lecture 11 - ML Interview Questions & Answers 23:22

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.

Everyone

Passion to learn and succeed!

• 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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Reed courses certificate of completion

Digital certificate - Included

Uplatz Certificate of Completion

Digital certificate - Included