Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Essential Math for Data Science (Sách keo gáy, bìa mềm)
To succeed in data science you need some math
proficiency. But not just any math. This common-sense guide provides a
clear, plain English survey of the math you'll need in data science,
including probability, statistics, hypothesis testing, linear algebra,
machine learning, and calculus. Practical examples with Python code will
help you see how the math applies to the work you'll be doing,
providing a clear understanding of how concepts work under the hood
while connecting them to applications like machine learning. You'll get a
solid foundation in the math essential for data science, but more
importantly, you'll be able to use it to: Recognize the nuances and
pitfalls of probability math Master statistics and hypothesis testing
(and avoid common pitfalls) Discover practical applications of
probability, statistics, calculus, and machine learning Intuitively
understand linear algebra as a transformation of space, not just grids
of numbers being multiplied and added Perform calculus derivatives and
integrals completely from scratch in Python Apply what you've learned to
machine learning, including linear regression, logistic regression, and
neural networks
Thể loại:Mathematics - Mathematical Statistics
Năm:2022
In lần thứ:1
Ngôn ngữ:english
Trang:350
