Mathematical analysis for machine learning and data mining

Rubriek: Textual/Printed/Reference Materials - Boek

Prijs: € 180.17

Rating: 0/5

☆

☆

☆

☆

☆

Verzending:
Voor 23:59 uur besteld, morgen in huis

This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book. Related Link(s)

• 1 Bekijk alle specificaties

Deep Learning from Scratch Building with Python from First Principles

Rating: 0 / 5 | Prijs: € 58.86

With the resurgence of neural networks in the 2010s deep learning has become essential for machine learning practitioners and even many software engineers this book provides a comprehensive introduction for data scientists and software engineers with machine learning experience you ll start with Uiterlijk 24 januari in huis .. MEER INFO

Hands-On Software Engineering with Python

Rating: 0 / 5 | Prijs: € 49.93

Software engineering includes soft skills a developer requires awareness of how those skills with their technical counterparts mesh together through a project s life cycle this book walks you through that discovery showing at each step of the way through a multi tier system s developm 2 - 3 weken .. MEER INFO