The forex market is an international trading market where the currencies of every country are sold and bought freely. The price of one currency determined only by market participants is driven by supply and demand. The trading is conducted through individual contracts. The standard contract size (also called a lot) is usually 100,000 units. This means that for every standard contract acquired, the control is of 100,000 units of the base currency. For this contract size, each pip (the smallest price increment) is worth $10. Depending on the trading strategy of a trader, a position can be maintained for a very short time or for longer periods, even years. There are several tools that allow the trader to be able to understand and make decisions on the market, grouped basically under fundamental or technical analysis. Fundamental analysis takes into account the constant exchange of political and economic information. Technical analysis is based...
Practical Machine Learning Cookbook
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Practical Machine Learning Cookbook
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Overview of this book
Machine learning has become the new black. The challenge in today’s world is the explosion of data from existing legacy data and incoming new structured and unstructured data. The complexity of discovering, understanding, performing analysis, and predicting outcomes on the data using machine learning algorithms is a challenge. This cookbook will help solve everyday challenges you face as a data scientist. The application of various data science techniques and on multiple data sets based on real-world challenges you face will help you appreciate a variety of techniques used in various situations.
The first half of the book provides recipes on fairly complex machine-learning systems, where you’ll learn to explore new areas of applications of machine learning and improve its efficiency. That includes recipes on classifications, neural networks, unsupervised and supervised learning, deep learning, reinforcement learning, and more.
The second half of the book focuses on three different machine learning case studies, all based on real-world data, and offers solutions and solves specific machine-learning issues in each one.
Table of Contents (21 chapters)
Practical Machine Learning Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
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Preface
Free Chapter
Introduction to Machine Learning
Classification
Clustering
Model Selection and Regularization
Nonlinearity
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Structured Prediction
Neural Networks
Case Study - Exploring World Bank Data
Case Study - Pricing Reinsurance Contracts
Case Study - Forecast of Electricity Consumption
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