Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
Data science is expanding across industries at a
rapid pace, and the companies first to adopt best practices will gain a
significant advantage. To reap the benefits, decision makers need to
have a confident understanding of data science and its application in
their organization. This third edition delves into the latest
advancements in AI, particularly focusing on large language models
(LLMs), with clear distinctions made between AI and traditional data
science, including AI's ability to emulate human decision-making.
Author
Stylianos Kampakis introduces you to the critical aspect of ethics in
AI, an area of growing importance and scrutiny. The narrative examines
the ethical considerations intrinsic to the development and deployment
of AI technologies, including bias, fairness, transparency, and
accountability. You’ll be provided with the expertise and tools required
to develop a solid data strategy that is continuously effective. Ethics
and legal issues surrounding data collection and algorithmic bias are
some common pitfalls that Kampakis helps you avoid, while guiding you on
the path to build a thriving data science culture at your organization.
This updated edition also includes plenty of case studies, tools for
project assessment, and expanded content for hiring and managing data
scientists.
Data science is a language that everyone at a modern
company should understand across departments. Friction in communication
arises most often when management does not connect with what a data
scientist is doing or how impactful data collection and storage can be
for their organization. The Decision Maker’s Handbook to Data Science
bridges this gap and readies you for both the present and future of your
workplace in this engaging, comprehensive guide.
What You Will Learn
• Integrate AI with other innovative technologies
• Explore anticipated ethical, regulatory, and technical landscapes that will shape the future of AI and data science
…
Thể loại:Computers - Organization and Data Processing
Năm:2024
In lần thứ:3
Ngôn ngữ:english
Trang:189
