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You're reading from  Neural Network Projects with Python

Product typeBook
Published inFeb 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789138900
Edition1st Edition
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Author (1)
James Loy
James Loy
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James Loy

James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
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Favorite machine learning tools

In this book, I have used a lot of Python and Keras. Beyond that, there are also several machine learning tools that I consider to be useful:

  • Jupyter Notebook: Jupyter notebooks are interactive notebooks that are often used during the early stages of machine learning projects. The advantage of using Jupyter Notebooks is that it allows us to write interactive code iteratively. Unlike a .py Python file, code can be executed in chunks, and output (for example, graphs) can be displayed in line with the code.
  • Google Colab: Google Colab is a free cloud platform that allows us to write Jupyter Notebook code in the cloud. All changes are synced automatically, and teams can work collaboratively on the same notebook. The greatest advantage of Google Colab is that you can run code with GPU instances in the cloud, which are provided for free by Google! This...
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Neural Network Projects with Python
Published in: Feb 2019Publisher: PacktISBN-13: 9781789138900

Author (1)

author image
James Loy

James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
Read more about James Loy