Why did machine learning not evolve significantly until around 2015?
Machine Learning: Random Forest with Python from Scratch - Past, Present, and Future of Machine Learning
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Information Technology (IT), Architecture, Social Studies
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University
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The video discusses the evolution and boom of machine learning, highlighting the need for powerful machines and abundant data. It explores future applications like self-driving cars and gaming, and examines trends in AI publications and investments. The video concludes with an overview of the course structure.
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7 questions
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1.
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3 mins • 1 pt
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2.
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3 mins • 1 pt
What are the two main requirements for implementing machine learning algorithms practically?
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3.
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3 mins • 1 pt
How does the computational power of quantum computers compare to that of supercomputers?
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4.
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What role does data play in the performance of machine learning algorithms?
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5.
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3 mins • 1 pt
In what ways are self-driving cars an example of machine learning applications?
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6.
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3 mins • 1 pt
Discuss the significance of investments in AI startups since 2012.
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7.
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What trends have been observed in AI job availability since 2013?
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