Machine Learning Random Forest with Python from Scratch - Past, Present, and Future of Machine Learning

Machine Learning Random Forest with Python from Scratch - Past, Present, and Future of Machine Learning

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video discusses the evolution of machine learning, highlighting its boom since 2015 due to advancements in computational power and data availability. It emphasizes the importance of powerful machines and quality data for effective machine learning. The future of machine learning is explored, with applications in self-driving cars and gaming. The video also covers trends in AI research, investment, and job opportunities, noting the significant rise in AI-related jobs and publications.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What were the two main requirements for the evolution of machine learning mentioned in the text?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How did the computational power of quantum computers compare to supercomputers according to the text?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Why is data considered the most important element in machine learning?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What impact has machine learning had on job markets, particularly with self-driving cars?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the text describe the future of human labor in relation to machine learning?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the trend in AI publications and investments since 2010.

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some areas within AI that are mentioned in the text?

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