Data Science From Scratch First Principles With Python 2nd Edition
Download Data Science From Scratch First Principles With Python 2nd Edition PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Science From Scratch First Principles With Python 2nd Edition book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Data Science from Scratch
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
Data Science from Scratch
This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills. The book covers: The important parts of Python to know The important parts of Math / Probability / Statistics to know The basics of data science How commonly-used data science techniques work (learning by implementing them) What is Map-Reduce and how to do it in Python Other applications such as NLP, Network Analysis, and more
Ecological Footprint of the Modern Economy and the Ways to Reduce It
This book is devoted to the systems rethinking of the role of the leading digital technologies and circular innovations to reduce the environmental footprint of the modern economy. The target audience of this book consists of scientists who explore environmental economics, energy economics, and sustainable development. In this book, they will find a consistent take on the impact of the economy on the environment from the perspective of a new scientific concept—the environmental footprint of the economy, described through the lens of the UN SDGs. This book is also useful for public agencies of energy and environmental economics and environmentally responsible enterprises. In this book, they will find applied recommendations on improving the efficiency of the use of high technologies and responsible innovations to reduce the environmental footprint of the modern economy. The book provides numerous real-world examples, case studies, and recommendations on unlocking the environmental potential of high technologies (Big Data, Ubiquitous Computing (UC), Robotics, Artificial Intelligence (AI), and the Internet of Things (IoT)) and responsible innovations (ESG investments, environmental taxation, green jobs), which allow reaching net-zero emission and building a carbon-neutral circular economy. The interest in this book is also attributable to the fact that it takes into account the specifics of developed and less-developed countries. The book puts more focus on the real-life and case experience of Central Asia and the Eurasian Economic Union (EAEU).