Can machine write code?

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Can machine write code?

While it is possible to write programs directly in machine code, managing individual bits and calculating numerical addresses and constants manually is tedious and error-prone. The majority of practical programs today are written in higher-level languages or assembly language.

Can AI write algorithms?

Deep-learning algorithms are designed to allow AI devices to glean knowledge from datasets and then apply what they’ve learned to concrete situations. For example, an AI system is fed data about how the sky is usually blue, which allows it to later recognize the sky in a series of images.

Is machine learning different from coding?

Traditional programming is a manual process—meaning a person (programmer) creates the program. But without anyone programming the logic, one has to manually formulate or code rules. In machine learning, on the other hand, the algorithm automatically formulates the rules from the data.

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Who is Andrew Ng?

An AI pioneer reflects on how companies can use machine learning to transform their operations and solve critical problems. Andrew Ng has worn many hats in his life. You may know him as the founder of the Google Brain team or the former chief scientist at Baidu. You may also know him as your own instructor.

What would Andrew Ng say about AI-first teams?

Andrew Ng: I usually say, “Don’t do that.” If I go to a team and say, “Hey, everyone, please be AI-first,” that tends to focus the team on technology, which might be great for a research lab. But in terms of how I execute the business, I tend to be customer-led or mission-led, almost never technology-led.

Is 80\% of your machine learning work really data preparation?

If 80 percent of our work is data preparation, asks Andrew Ng, then why are we not ensuring data quality is of the utmost importance for a machine learning team. Andrew Ng mentioned how everyone jokes about ML is 80\% data preparation, but no one seems to care.

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Can businesses without giant data sets join the AI revolution?

Now in his latest venture, Landing AI, which he started in 2017, he is exploring how businesses without giant data sets to draw on can still join in the AI revolution. On March 23, Ng joined MIT Technology Review’s virtual EmTech Digital, our annual AI event, to share the lessons he’s learned.