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Learning Data Mining with Python. Harness the power of Python to analyze data and create insightful predictive models Robert Layton, Robert Layton, Ari Chanen

(ebook) (audiobook) (audiobook) Książka w języku 1
Learning Data Mining with Python. Harness the power of Python to analyze data and create insightful predictive models Robert Layton, Robert Layton, Ari Chanen - okladka książki

Learning Data Mining with Python. Harness the power of Python to analyze data and create insightful predictive models Robert Layton, Robert Layton, Ari Chanen - okladka książki

Learning Data Mining with Python. Harness the power of Python to analyze data and create insightful predictive models Robert Layton, Robert Layton, Ari Chanen - audiobook MP3

Learning Data Mining with Python. Harness the power of Python to analyze data and create insightful predictive models Robert Layton, Robert Layton, Ari Chanen - audiobook CD

Autorzy:
Robert Layton, Robert Layton, Ari Chanen
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
344
Dostępne formaty:
     PDF
     ePub
     Mobi

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O autorach książki

Robert Layton is a data scientist investigating data-driven applications to businesses across a number of sectors. He received a PhD investigating cybercrime analytics from the Internet Commerce Security Laboratory at Federation University Australia, before moving into industry, starting his own data analytics company dataPipeline. Next, he created Eureaktive, which works with tech-based startups on developing their proof-of-concepts and early-stage prototypes. Robert also runs the LearningTensorFlow website, which is one of the world's premier tutorial websites for Google's TensorFlow library.

Robert is an active member of the Python community, having used Python for more than 8 years. He has presented at PyConAU for the last four years and works with Python Charmers to provide Python-based training for businesses and professionals from a wide range of organisations.

Robert can be best reached via Twitter @robertlayton
Robert Layton is a data scientist investigating data-driven applications to businesses across a number of sectors. He received a PhD investigating cybercrime analytics from the Internet Commerce Security Laboratory at Federation University Australia, before moving into industry, starting his own data analytics company dataPipeline. Next, he created Eureaktive, which works with tech-based startups on developing their proof-of-concepts and early-stage prototypes. Robert also runs the LearningTensorFlow website, which is one of the world's premier tutorial websites for Google's TensorFlow library.

Robert is an active member of the Python community, having used Python for more than 8 years. He has presented at PyConAU for the last four years and works with Python Charmers to provide Python-based training for businesses and professionals from a wide range of organisations.

Robert can be best reached via Twitter @robertlayton

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