Bộ sách luyện thi ETS 2023 LC&RC
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A comprehensive overview of data science covering
the analytics, programming, and business skills necessary to master the
discipline
Unlike many analytics books, computer science and software
engineering are given extensive coverage since they play such a central
role in the daily work of a data scientist. The author also describes
classic machine learning algorithms, from their mathematical foundations
to real-world applications. Visualization tools are reviewed, and their
central importance in data science is highlighted. Classical statistics
is addressed to help readers think critically about the interpretation
of data and its common pitfalls. The clear communication of technical
results, which is perhaps the most undertrained of data science skills,
is given its own chapter, and all topics are explained in the context of
solving real-world data problems.
The book also features:
✓ Extensive sample code and tutorials using Python™ along with its technical libraries
✓
Core technologies of “Big Data,” including their strengths and
limitations and how they can be used to solve real-world problems
✓
Coverage of the practical realities of the tools, keeping theory to a
minimum; however, when theory is presented, it is done in an intuitive
way to encourage critical thinking and creativity
✓ A wide variety of case studies from industry
✓
Practical advice on the realities of being a data scientist today,
including the overall workflow, where time is spent, the types of
datasets worked on, and the skill sets needed
The Data Science
Handbook is an ideal resource for data analysis methodology and big data
software tools. The book is appropriate for people who want to practice
data science, but lack the required skill sets. This includes software
professionals who need to better understand analytics and statisticians
who need to understand software.
Categories:Computers - Algorithms and Data Structures
Year:2017
Language:english
Pages:417
