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How to tackle lack of data: an overview on transfer learning

Data Science Blog

Presumably due to this fact, Andrew Ng, in his presentation in NeurIPS 2016, gave a rough and abstract predictions of how transfer learning in machine learning would make commercial success like white lines in the figure below. But only with limited labeled data, decision boundaries would be ambiguous.

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How to optimize your LinkedIn as a Data Scientist?

Pickl AI

Expansive Hiring The IT and service sector is actively hiring Data Scientists. In fact, these industries majorly employ Data Scientists. Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist.