Learning from Setbacks

Scientists treat failure as a data point. It’s also how they treat positive results. Data points eventually lead to an answer.

Treat your failures as data points that steer you toward the correct answers.

The biggest problem, thoug h, is that models like this one are performed only on a single task. Future tasks require a new set of data points as well as equal or more amount of resources.

Transfer learning is an approach in deep learning (and machine learning) where knowledge is ...

Most companies conduct postmortems at a project’s end to analyze and outline the factors that contributed to its failure. But this reflection, examination and evaluation might not be as useful as most wait for failures to conduct them and stop the analysis once the guilty are identified.

Fa...