Introduction To Machine Learning In Quantitative Finance, An: 0 (Advanced Textbooks In Mathematics) - Image 1

£38.63

Scientific Publishing Introduction To Machine Learning In Quantitative Finance, An: 0 (Advanced Textbooks In Mathematics)

Name: Introduction To Machine Learning In Quantitative Finance, An: 0 (Advanced Textbooks In Mathematics)
Brand: Scientific Publishing
Price: 38.63 GBP
Availability: InStock

Higher Education

This is the most expensive it has ever been. Walk away.

£39 today · previous high £39 · all-time low £36

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 48 days · 48 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 48 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £36 (39 days, 81.3%)

Price range: £36 - £39

Price levels: 2 different prices over 48 days

Description

In today's world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it. An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authors Provide a systematic and rigorous introduction to supervised, unsupervised and reinforcement learning by establishing essential definitions and theorems. Dive into various types of neural networks, including artificial nets, convolutional nets, recurrent nets and recurrent reinforcement learning. Summarize key contents of each section in the tables as a cheat sheet. Include ample examples of financial applications. Showcase how to tackle an exemplar ML project on financial data end-to-end. Provide a GitHub repository https://github.com/deepintomlf/mlfbook.git that contains supplementary Python codes of all methods/examples. Featured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!

Product Specifications

Brand: Scientific Publishing
Format: paperback
ASIN: 1786349647
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain: Amazon UK
Release Date: 09 April 2021
Listed Since: 08 August 2020

Barcode

No barcode data available

Scientific Publishing Introduction To Machine Learning In Quantitative Finance, An: 0 (Advanced Textbooks In Mathematics)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Machine Learning in Finance: From Theory to Practice

Springer Machine Learning in Finance - Theory to Practice Book

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices

Reinforcement Learning for Finance: A Python-Based Introduction

Machine Learning and AI in Finance

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

Deep Learning in Quantitative Finance (Wiley Finance)

Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series)

CRC Press Machine Learning for Factor Investing: R Version

Proceedings of the First International Forum on Financial Mathematics and Financial Technology

Proceedings of the First International Forum on Financial Mathematics and Financial Technology

Machine Learning for Factor Investing: R Version (Chapman and Hall/CRC Financial Mathematics Series)

Machine Learning for Asset Managers (Elements in Quantitative Finance)

Learning Quantitative Finance with R

Wiley Machine Learning and Big Data with kdb+/q Book

Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications: 336 (International Series in Operations Research & Management Science, 336)

Tidy Finance with Python - Chapman and Hall/CRC Textbook

Financial Machine Learning (Foundations and Trends® in Finance)

Quant_Py: Python for Quantitative Finance

Tidy Finance with Python (Chapman & Hall/CRC The Python Series)

A First Course in Quantitative Finance

An Introduction to Financial Markets: A Quantitative Approach

Introductory Mathematical Analysis for Quantitative Finance (Chapman and Hall/CRC Financial Mathematics Series)

Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python