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