#vlog Day 1 | Amazon ML Summer School 2023 | **Q/A answered** Internship at amazon ? Stipend?
7.5 هزار بار بازدید -
10 ماه پیش
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The Amazon ML Summer School
The Amazon ML Summer School 2023 was a four-week virtual program that provided students with an intensive training on machine learning (ML) topics. The program was taught by Amazon scientists and engineers, and it covered a wide range of topics, including:
Introduction to ML
Supervised learning
Unsupervised learning
Deep learning
Natural language processing
Computer vision
Reinforcement learning
ML engineering
In addition to lectures and tutorials, the program also included hands-on labs and projects. Students worked on real-world ML problems, and they had the opportunity to interact with Amazon scientists and engineers to get feedback and support.
Q: What was the most valuable part of the Amazon ML Summer School?
A: The most valuable part of the program was the opportunity to learn from Amazon scientists and engineers. They were very knowledgeable and experienced, and they were able to share their insights and expertise with the students. The hands-on labs and projects were also very valuable, as they allowed the students to apply what they were learning to real-world problems.
Q: What was the most challenging part of the program?
A: The most challenging part of the program was the pace. The material was covered very quickly, and it was important to keep up. However, the instructors were very supportive, and they were always willing to help students who were struggling.
Q: What advice would you give to students who are considering applying for the Amazon ML Summer School?
A: I would encourage students to apply for the program if they are interested in learning more about ML and if they are motivated to work hard. The program is challenging, but it is also very rewarding.
Q: What did you do after the Amazon ML Summer School?
A: After the program, I accepted an internship as an Applied Scientist Intern at Amazon. I am very excited about this opportunity, and I am grateful for the skills and knowledge that I gained from the Amazon ML Summer School.
Q: What advice would you give to students who are considering a career in ML?
A: My advice to students who are considering a career in ML is to start learning as soon as possible. There are many resources available online and in libraries. It is also important to get involved in hands-on projects. There are many ML hackathons and competitions that students can participate in. Finally, I would encourage students to network with people who are working in the ML field. This is a great way to learn about different career paths and to get advice from experienced professionals.
Introduction to ML
Supervised learning
Unsupervised learning
Deep learning
Natural language processing
Computer vision
Reinforcement learning
ML engineering
In addition to lectures and tutorials, the program also included hands-on labs and projects. Students worked on real-world ML problems, and they had the opportunity to interact with Amazon scientists and engineers to get feedback and support.
Q: What was the most valuable part of the Amazon ML Summer School?
A: The most valuable part of the program was the opportunity to learn from Amazon scientists and engineers. They were very knowledgeable and experienced, and they were able to share their insights and expertise with the students. The hands-on labs and projects were also very valuable, as they allowed the students to apply what they were learning to real-world problems.
Q: What was the most challenging part of the program?
A: The most challenging part of the program was the pace. The material was covered very quickly, and it was important to keep up. However, the instructors were very supportive, and they were always willing to help students who were struggling.
Q: What advice would you give to students who are considering applying for the Amazon ML Summer School?
A: I would encourage students to apply for the program if they are interested in learning more about ML and if they are motivated to work hard. The program is challenging, but it is also very rewarding.
Q: What did you do after the Amazon ML Summer School?
A: After the program, I accepted an internship as an Applied Scientist Intern at Amazon. I am very excited about this opportunity, and I am grateful for the skills and knowledge that I gained from the Amazon ML Summer School.
Q: What advice would you give to students who are considering a career in ML?
A: My advice to students who are considering a career in ML is to start learning as soon as possible. There are many resources available online and in libraries. It is also important to get involved in hands-on projects. There are many ML hackathons and competitions that students can participate in. Finally, I would encourage students to network with people who are working in the ML field. This is a great way to learn about different career paths and to get advice from experienced professionals.
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