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Packt Publishing – Machine Learning for Data Science

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MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 2 Hours 41M | 14.7 GB
Genre: eLearning | Language: English | Project Files

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.

Thank you all for the huge response to this emerging course! We are delighted to have over 2300 students in over 102 different countries and for the overwhelmingly positive and thoughtful reviews. It's such a privilege to share this important topic with everyday people in a clear and understandable way. Unlock the secrets of understanding ! In this introductory course, the “Backyard Data Scientist” will guide you through wilderness of . Accessible to everyone, this introductory course not only explains Machine Learning, but where it fits in the “techno sphere around us”, why it’s important now, and how it will dramatically change our world today and for days to come. So I invite you to join me, the Backyard Data Scientist on an exquisite journey into unlocking the secrets of …. for you know - everyday people… like you!

What You Will Learn

Genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.
To understand how these different domains fit together, how they are different, and how to avoid the marketing fluff.
The Impacts Machine Learning and Data Science is having on society.
To really understand computer technology has changed the world, with an appreciation of scale.
To know what problems Machine Learning can solve, and how the Machine Learning Process works.
How to avoid problems with Machine Learning, to successfully implement it without losing your mind!

Authors

David Valentine

Mr. David Valentine - The Backyard Data ScientistMr. David Valentine is a decorated Enterprise Architect with over seventeen years of experience in enterprise computing environments. He currently works for the Province of Manitoba, in Canada where he is a responsible for the architecture of the Server and Mainframe computer environment. Mr. Valentine has a passion for Data Science, Computer Science, Machine Learning and Data Science. As the "Backyard Data Scientist", he bring his experience and ability to simplify challenging technical topics to Data Science. He's delighted to offer the world his first course on the Udemy platform, "Machine Learning for Data Science"

Table of Contents

INTRODUCTION
CORE CONCEPTS
IMPACTS, IMPORTANCE AND EXAMPLES
THE MACHINE LEARNING PROCESS
HOW TO APPLY MACHINE LEARNING FOR DATA SCIENCE
CONCLUSION

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  1. 数据科学的机器学习 机器学习的入门教程,为普通人揭示机器学习和大数据的神秘。 感谢大家对这门将要上架课程的热烈响应!我们非常高兴地看到在超过102个不同的国家有超过2300名学员对本教程给出了积极并且有想法的回应。能够与大家以如此清晰并且通俗易懂的方式分享这一重要的主题实在是令人荣幸。在这部名为“业余数据科学家”的入门课程中,将会不仅指导你认识技巧学习广博的内容,而且还会为我们展示它是如何在“我们周边的技术领域”中发挥作用的,以及目前为何它是如此的重要并如何巨大地改变了我们今天和未来的世界。所以与我们一切来学习吧。 主要内容: • 真正地理解何为计算机科学、算法、编程、数据、大数据、人工智能、技巧学习和数据科学 • 理解所适用的领域及其差别,以及如何避免营销欺骗 • 技巧学习和数据科学对当今社会的作业 • 真正理解计算机技术对世界的改变 • 了解机器学习可以解决哪些问题以及机器学习是如何工作的 • 如何避免技巧学习的问题并成功地实施
    wilde(特殊组-翻译)1个月前 (10-15)