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      eBook: 4 Economic Benefits of Hosted Private Cloud


      The cloud promised it all: flexibility, scalability, agility. These benefits have convinced many enterprises to move their on-premises IT infrastructure to the cloud. And certainly, many found that the cloud offered exactly what they promised.

      For others who moved to the hyperscale public cloud—especially those whose applications have steady, predictable workloads or must adhere to strict compliance standards—capturing the benefits of the cloud without running into potential pitfalls has proven difficult.

      Even harder still is finding ways to manage costs and get the cloud expertise you need to fully leverage your solutions.

      Hosted private cloud is a smart way to get the benefits of the cloud in a right-sized, custom-built deployment—and with the economics to make sure your solution works for you.

      Fill out the form below to download our ebook today.

      Learn more about hosted private cloud and the economic benefits you can expect from a Virtual Private Cloud or Dedicated Private Cloud, including:

      • Resource optimization through rightsizing
      • Quick deployment and flexibility for special projects
      • Expanded operational capacity
      • Efficient use of human capital and minimizing opportunity costs
      Nick Chang


      Nick Chang is the Editor of INAP’s blog and a Content Specialist on the marketing team. READ MORE



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      Machine Learning Projects: Python — A DigitalOcean eBook


      Download the Complete eBook!

      Machine Learning Projects: Python eBook in EPUB format

      Machine Learning Projects: Python eBook in PDF format

      Machine Learning Projects: Python eBook in Mobi format

      Introduction to the eBook

      As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions — sometimes without final input from humans who may be impacted by these findings — it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning to help ensure that it is serving us all.

      This book will set you up with a Python programming environment if you don’t have one already, then provide you with a conceptual understanding of machine learning in the chapter “An Introduction to Machine Learning.” What follows next are three Python machine learning projects. They will help you create a machine learning classifier, build a neural network to recognize handwritten digits, and give you a background in deep reinforcement learning through building a bot for Atari.

      These chapters originally appeared as articles on DigitalOcean Community, written by members of the international software developer community. If you are interested in contributing to this knowledge base, consider proposing a tutorial to the Write for DOnations program. DigitalOcean offers payment to authors and provides a matching donation to tech-focused nonprofits.

      Other Books in this Series

      If you are learning Python or are looking for reference material, you can download our free Python eBook, How To Code in Python 3

      For other programming languages and DevOps engineering articles, check out our knowledge base of over 2,100 tutorials.

      Download the eBook

      You can download the eBook in either the EPUB, PDF, or Mobi format by following the links below.

      Download the Complete eBook!

      Machine Learning Projects: Python eBook in EPUB format

      Machine Learning Projects: Python eBook in PDF format

      Machine Learning Projects: Python eBook in Mobi format



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