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#1 Data Science, Past, Present and Future
DataFramed
Data Science and Machine Learning
Ten years from now, machine learning will be running everywhere. Many common data science techniques, such as feature extraction, may be automated away. But in hilary's words, the ability to frame the best problems to work on is a skill that is under appreciated and unlikely to beautomated. We also heard about major challengers facing our discipline: imprecise ethics,. no standards of practice, along with an indepedent study of what data science currently looks like.
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