--- title: "Meaning & Key Takeaway of: A lot of the progress in machine learning…" description: "\"A lot of the progress in machine learning - and this is an unpopular opinion in academia - is driven by an increase in both computing power and data. A..." image: "https://sms4smile.com/quotes/i/3a0/andrew-ng-5131_artificial-intellige_a-lot-of-the-progress-in-machine-learnin_1833592.jpg" --- # A lot of the progress in machine learning - and this is an… ![“A lot of the progress in machine learning - and this is an unpopular opinion in academia - is driven by an increase in both computing power and data. An analogy is to building a space rocket: You need a huge rocket engine, and you need a lot of fuel.” quote by Andrew Ng](https://sms4smile.com/quotes/i/3a0/andrew-ng-5131_artificial-intellige_a-lot-of-the-progress-in-machine-learnin_1833592.jpg) [Download](https://sms4smile.com/quotes/i/3a0/andrew-ng-5131_artificial-intellige_a-lot-of-the-progress-in-machine-learnin_1833592.jpg) [Open image](https://sms4smile.com/quotes/i/3a0/andrew-ng-5131_artificial-intellige_a-lot-of-the-progress-in-machine-learnin_1833592.jpg) > “A lot of the progress in machine learning - and this is an unpopular opinion in academia - is driven by an increase in both computing power and data. An analogy is to building a space rocket: You need a huge rocket engine, and you need a lot of fuel.” [Andrew Ng](https://sms4smile.com/quotes/author/andrew-ng/) ## About This Quote This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation. Advances in AI depend heavily on more compute and larger datasets, similar to needing a powerful engine and abundant fuel to launch a rocket. **In simple terms:** More compute and data drive AI progress. Key Takeaway Invest in compute and data resources. Themes technology progress AI resources Mood analytical optimistic Type observational strategic When to use this quote - research labs - startup development - model training - industry competition Key Concepts machine learning scaling infrastructure Questions to Reflect On - How do you balance compute with clever algorithms? - What data sources are most valuable? A Different Perspective Data quality and algorithmic innovation also matter. ★ ★ ★ ★ ★ No ratings yet [Artificial intelligence](https://sms4smile.com/quotes/about/artificial-intelligence/) [Computers](https://sms4smile.com/quotes/about/computers/) [Computing](https://sms4smile.com/quotes/about/computing/) [Data](https://sms4smile.com/quotes/about/data/) [Learning](https://sms4smile.com/quotes/about/learning/) [Power](https://sms4smile.com/quotes/about/power/) [Progress](https://sms4smile.com/quotes/about/progress/) [Space](https://sms4smile.com/quotes/about/space/) [Technology](https://sms4smile.com/quotes/about/technology/) ## Related quotes > [Machine learning is the most popular course for people from India. 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