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Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...
Serverless Applications with Node.js: Using AWS Lambda and Claudia.js
Serverless Applications with Node.js: Using AWS Lambda and Claudia.js
Summary

Serverless Applications with Node.js walks you through building serverless apps on AWS using JavaScript. Inside, you'll discover what Claudia.js brings to the table as you build and deploy a scalable event-based serverless application, based around a pizzeria that's fully integrated with AWS
...
Blended Learning in Practice: A Guide for Practitioners and Researchers (The MIT Press)
Blended Learning in Practice: A Guide for Practitioners and Researchers (The MIT Press)
A guide to both theory and practice of blended learning offering rigorous research, case studies, and methods for the assessment of educational effectiveness.

Blended learning combines traditional in-person learning with technology-enabled education. Its pedagogical aim is to merge the scale, asynchrony, and flexibility of...

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...

Smart Grids and Their Communication Systems (Energy Systems in Electrical Engineering)
Smart Grids and Their Communication Systems (Energy Systems in Electrical Engineering)

The book presents a broad overview of emerging smart grid technologies and communication systems, offering a helpful guide for future research in the field of electrical engineering and communication engineering. It explores recent advances in several computing technologies and their performance evaluation, and addresses a wide range...

Web Programming with HTML5, CSS, and JavaScript
Web Programming with HTML5, CSS, and JavaScript
Web Programming with HTML 5, CSS, and JavaScript is written for the undergraduate, client-side web programming course. It covers the three client-side technologies (HTML5, CSS, and JavaScript) in depth, with no dependence on server-side technologies. One of the distinguishing features of this new text is its coverage of canvas, one of the most...
Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)
Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)
Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in...
Reliability Engineering: Theory and Applications (Advanced Research in Reliability and System Assurance Engineering)
Reliability Engineering: Theory and Applications (Advanced Research in Reliability and System Assurance Engineering)

Reliability theory is a multidisciplinary science aimed at developing complex systems that are resistant to failures. Reliability engineering has emerged as a main field not only for scientists and researchers, but also for engineers and industrial managers. This book covers the recent developments in reliability engineering. It...

Internationalizing Firms: International Strategy, Trends and Challenges
Internationalizing Firms: International Strategy, Trends and Challenges

This book explores emerging trends in internationalization, analyzing the processes and steps that firms take when entering new markets. This timely contribution highlights the need for a deeper understanding of today’s internationalization process, critiquing existing literature and instead proposing a new paradigm based on a...

Demobilisation and Reintegration in Colombia: Building State and Citizenship (Routledge Studies in Latin American Development)
Demobilisation and Reintegration in Colombia: Building State and Citizenship (Routledge Studies in Latin American Development)

This book investigates demobilisation, disarmament and reintegration (DDR) in Colombia during the twentieth and twenty-first centuries. The six large peace processes and amnesties that took place in Colombia over this period were nation-led, providing an interesting case study for the wider DDR literature, which has historically...

Rates of Evolution: A Quantitative Synthesis
Rates of Evolution: A Quantitative Synthesis
How fast is evolution, and why does it matter? The rate of evolution, and whether it is gradual or punctuated, is a hotly debated topic among biologists and paleontologists. This book compiles and compares examples of evolution from laboratory, field, and fossil record studies, analyzing them to extract their underlying rates. It concludes that...
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