Machine learning Techniques in Economics

Download or Read online Machine learning Techniques in Economics full in PDF, ePub and kindle. This book written by Atin Basuchoudhary and published by Springer which was released on 28 December 2017 with total pages 94. We cannot guarantee that Machine learning Techniques in Economics book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Machine learning Techniques in Economics
Author :
Publisher : Springer
Release Date :
ISBN : 9783319690148
Pages : 94 pages
Rating : /5 ( users)
GET BOOK!

Download or Read Online Machine learning Techniques in Economics in PDF, Epub and Kindle

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.

Machine learning Techniques in Economics

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a

GET BOOK!
The Economics of Artificial Intelligence

Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between

GET BOOK!
Machine Learning and Artificial Intelligence for Agricultural Economics

Download or read online Machine Learning and Artificial Intelligence for Agricultural Economics written by Chandrasekar Vuppalapati, published by Springer Nature which was released on . Get Machine Learning and Artificial Intelligence for Agricultural Economics Books now! Available in PDF, ePub and Kindle.

GET BOOK!
Machine Learning for Economics and Finance in TensorFlow 2

Work on economic problems and solutions with tools from machine learning. ML has taken time to move into the space of academic economics. This is because empirical work in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine learning is oriented towards prediction and

GET BOOK!
Data Science for Economics and Finance

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used

GET BOOK!
Computer Age Statistical Inference

Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.

GET BOOK!
The Essentials of Machine Learning in Finance and Accounting

Th­is book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. ­These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. ­The book also offers practical and managerial implications of

GET BOOK!
Business Data Science  Combining Machine Learning and Economics to Optimize  Automate  and Accelerate Business Decisions

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking

GET BOOK!
Big Data for Twenty First Century Economic Statistics

The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with

GET BOOK!
Prediction Machines

"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should

GET BOOK!
Econometrics and Data Science

Get up to speed on the application of machine learning approaches in macroeconomic research. This book brings together economics and data science. Author Tshepo Chris Nokeri begins by introducing you to covariance analysis, correlation analysis, cross-validation, hyperparameter optimization, regression analysis, and residual analysis. In addition, he presents an approach to

GET BOOK!
Machine Learning in Finance

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial

GET BOOK!
Machine Learning in Asset Pricing

A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are

GET BOOK!
Data Analysis for Business  Economics  and Policy

A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

GET BOOK!
Interpretable Machine Learning

Download or read online Interpretable Machine Learning written by Christoph Molnar, published by Lulu.com which was released on 2019. Get Interpretable Machine Learning Books now! Available in PDF, ePub and Kindle.

GET BOOK!