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This Machine Learning Interview Questions And Answers video will help you prepare for Data Science and Machine learning interviews. This video is ideal for both beginners as well as professionals who are appearing for Machine Learning or Data Science interviews. Learn what are the most important Machine Learning interview questions and answers and know what will set you apart in the interview process. This video is a part of the Machine Learning with Python Series.

Some of the important Machine Learning Interview Questions are listed below:
1. What are the different types of Machine Learning?
2. What is overfitting? And how can you avoid it?
3. What is false positive and false negative and how are they significant?
4. What are the three stages to build a model in Machine Learning?
5. What is Deep Learning?
6. What are the differences between Machine Learning and Deep Learning?
7. What are the applications of supervised Machine Learning in modern businesses?
8. What is semi-supervised Machine Learning?
9. What are the unsupervised Machine Learning techniques?
10. What is the difference between supervised and unsupervised Machine Learning?
11. What is the difference between inductive Machine Learning and deductive Machine Learning?
12. What is 'naive' in the Naive Bayes classifier?
13. What are Support Vector Machines?
14. How is Amazon able to recommend other things to buy? How does it work?
15. When will you use classification over regression?
16. How will you design an email spam filter?
17. What is Random Forest?
18. What is bias and variance in a Machine Learning model?

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Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=MachineLearninginterviewqanda&utm_medium=Tutorials&utm_source=youtube

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️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
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