…r real-world applications. If you want Google-level performance, you need millions of large images. In machine learning, having more data is almost always more important that having better algorithms. Now you know why Google is so happy to offer you unlimited photo storage. They want your sweet, swe…
So remember, if a human expert couldn’t use the data to solve the problem manually, a computer probably won’t be able to either. Instead, focus on problems where a human could solve the problem, but where it would be great if a computer could solve it much more quickly.
… acquiring immense power, but has not been successful in translating all that power into happiness. If we don’t change our basic mental patterns, than the power we will gain in the twenty-first century may well upgrade us into gods, but we will be very dissatisfied gods.
Maybe the most important lesson to learn is that even though humans are extremely good in acquiring power, they are not very good in translating power into happiness. Which is why we are today far more powerful than ever before, and our life is certainly more comfortable than in the past, yet it is doubtful whether we are much happier than our ancestors. Compared to what most people in history dreamt about, we may be living in paradise. But for some reason, we don’t feel the part.
…followed by a period of working. Very soon this traditional model will become utterly obsolete, and the only way for humans to stay in the game will be to keep learning throughout their lives, and to reinvent themselves repeatedly. Do your kids learn at school how to reinvent themselves throughout their lives?