By Zacharias Voulgaris
From the writer of the bestsellers, Data Scientist and Julia for information Science, this ebook covers 4 foundational components of knowledge technology. the 1st quarter is the knowledge technology pipeline together with methodologies and the information scientist's toolbox. the second one are crucial practices wanted in knowing the knowledge together with questions and hypotheses. The 3rd are pitfalls to prevent within the info technology technique. The fourth is an understanding of destiny tendencies and the way smooth applied sciences like man made Intelligence (AI) healthy into the information technological know-how framework.
The following chapters conceal those 4 foundational areas:
- Chapter 1 - what's info Science?
- Chapter 2 - the knowledge technological know-how Pipeline
- Chapter three - information technological know-how Methodologies
- Chapter four - the information Scientist's Toolbox
- Chapter five - inquiries to Ask and the Hypotheses they're established On
- Chapter 6 - info technological know-how Experiments and overview in their Results
- Chapter 7 - Sensitivity research of test Conclusions
- Chapter eight - Programming Bugs
- Chapter nine - blunders in the course of the information technology Process
- Chapter 10 - facing insects and error successfully and Efficiently
- Chapter eleven - The function of Heuristics in information Science
- Chapter 12 - The function of AI in information Science
- Chapter thirteen - info technology Ethics
- Chapter 14 - destiny traits and the way to stay Relevant
Targeted in the direction of information technology newcomers of all degrees, this ebook goals to aid the reader transcend facts technology ideas and procure a extra holistic and deeper figuring out of what info technological know-how includes. With a spotlight at the difficulties information technological know-how attempts to unravel, this ebook demanding situations the reader to turn into a self-sufficient participant within the field.
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