
Sách keo gáy, bìa mềm
Gain the critical skills you need to manage data
science teams, understand and evaluate statistical and machine learning
models., and make decisions for your data science team and organization
with confidence.
Key FeaturesLearn how to frame business problems as
machine learning use-casesGet a handle of on key machine learning and
statistical concepts to better understand and evaluate data science
resultsUnderstand how to manage a data science team and structure a
data science project from beginning to endBook DescriptionWith the rise
in the use of data science and artificial intelligence across
industries, executives who may not have had a formal education and
training in statistics and machine learning, are expected to make
decisions around the outputs of complex models and manage data
scientists and machine learning engineers. Leaders and managers within
who work with, or are looking to bring data science into their
departments and teams; can learn the fundamentals of data science to
make better decisions. Decision makers reading this book will gain a
solid understanding of the key concepts within statistics and machine
learning to better and resource data science projects; interpret models
developed by data scientists and machine learning engineers, and
evaluate model accuracy, bias and fairness.
with step-by-step
explanations of essential concepts and practical examples, you will
begin by understanding fundamental concepts of statistical inference and
machine learning. You will then learn how to interpret and evaluate
machine learning models, and recent innovations in artificial
intelligence.
By the end of this book, you will be able to
better equipped to frame business challenges as data science problems,
manage data science projects, and become an effective data leader within
your organization.
Thể loại:Computers - Organization and Data Processing
Năm:2024
Ngôn ngữ:english
Trang:310