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Fundamentals of Data Science

Om Fundamentals of Data Science

The topic of this book is data science, which is a field of study and application that has been growing rapidly for the past several decades. As a growing field, it is gaining a lot of attention in both the media as well as in the job market. This move was modeled after tech companies who, honestly, only recently started hiring massive data teams. These skills are in high demand and their applications extend much further than today's job market. This book will attempt to bridge the gap between math/programming/domain expertises. Most people today have expertise in at least one of these (maybe two), but proper data science requires a little bit of all three. We will dive into topics from all three areas and solve complex problems. We will clean, explore, and analyze data in order to derive scientific and accurate conclusions. Machine learning and deep learning techniques will be applied to solve complex data tasks.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781716540707
  • Bindende:
  • Paperback
  • Sider:
  • 148
  • Utgitt:
  • 19. mars 2023
  • Dimensjoner:
  • 152x8x229 mm.
  • Vekt:
  • 226 g.
Leveringstid: 2-4 uker
Forventet levering: 27. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av Fundamentals of Data Science

The topic of this book is data science, which is a field of study and application that has been growing rapidly for the past several decades. As a growing field, it is gaining a lot of attention in both the media as well as in the job market. This move was modeled after tech companies who, honestly, only recently started hiring massive data teams. These skills are in high demand and their applications extend much further than today's job market. This book will attempt to bridge the gap between math/programming/domain expertises. Most people today have expertise in at least one of these (maybe two), but proper data science requires a little bit of all three. We will dive into topics from all three areas and solve complex problems. We will clean, explore, and analyze data in order to derive scientific and accurate conclusions. Machine learning and deep learning techniques will be applied to solve complex data tasks.

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