Scaling Data Pipelines with Spark NLP

  14 hours

I did like the exercises.

Office for National Statistics [Natural Language Processing with Python]

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn [Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP]

This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.

  [Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP]

About face area.

- 中移物联网 [Deep Learning for NLP (Natural Language Processing)]

the last day. generation part

- Accenture Inc [Python for Natural Language Generation]

The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.

- Accenture Inc [Python for Natural Language Generation]

I like that it focuses more on the how-to of the different text summarization methods

  [Text Summarization with Python]

Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject

Ali Kattan - TWPI [Natural Language Processing with TensorFlow]

the way he present everything with examples and training was so useful

Ibrahim Mohammedameen - TWPI [Natural Language Processing with TensorFlow]

Very knowledgeable

Usama Adam - TWPI [Natural Language Processing with TensorFlow]

The trainer very easily explained difficult and advanced topics.

Leszek K [Artificial Intelligence Overview]

Human identification and circuit board bad point detection

王 春柱 - 中移物联网 [Deep Learning for NLP (Natural Language Processing)]

Demonstrate

- 中移物联网 [Deep Learning for NLP (Natural Language Processing)]

This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.

  [Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP]

I like that it focuses more on the how-to of the different text summarization methods

  [Text Summarization with Python]





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