Gollapudi Practical Machine Learning

Learn how to build Machine Learning applications to solve real-world data analysis challenges with this Machine Learning book – packed with practical tutorials
1. Auflage 2016
ISBN: 978-1-78439-401-1
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 468 Seiten

No detailed description available for "Practical Machine Learning".

Autoren/Hrsg.

Gollapudi, Sunila

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - Introduction to Machine learning
- Context of Large datasets for Machine learning
- Hadoop as a Machine learning platform
- ML tools and frameworks (R, Mahout, Julia, Spark and Python)
- Decision Tree learning methods
- Instance based & Kernel learning methods (KNN and SVM)
- Association rule based learning methods (Apriori& FP-growth)
- Clustering based learning methods (K-means)
- Supervised & Unsupervised Learning: Linear Methods
- Unsupervised Learning: Clustering Methods
- Deep Learning Methods
- Reinforcement learning
- Summary of all the large scale machine learning frameworks and tools
- Looking Ahead: Lamda Architectures, Polyglot Persistence and Semantic Data Platforms for Machine Learning

Über Autor(innen)

Gollapudi Sunila:

Sunila Gollapudi works as Vice President Technology with Broadridge Financial Solutions (India) Pvt. Ltd., a wholly owned subsidiary of the US-based Broadridge Financial Solutions Inc. (BR). She has close to 14 years of rich hands-on experience in the IT services space. She currently runs the Architecture Center of Excellence from India and plays a key role in the big data and data science initiatives. Prior to joining Broadridge she held key positions at leading global organizations and specializes in Java, distributed architecture, big data technologies, advanced analytics, Machine learning, semantic technologies, and data integration tools. Sunila represents Broadridge in global technology leadership and innovation forums, the most recent being at IEEE for her work on semantic technologies and its role in business data lakes. Sunila's signature strength is her ability to stay connected with ever changing global technology landscape where new technologies mushroom rapidly, connect the dots and architect practical solutions for business delivery. A post graduate in computer science, her first publication was on Big Data Datawarehouse solution, Greenplum titled Getting Started with Greenplum for Big Data Analytics, Packt Publishing. She's a noted Indian classical dancer at both national and international levels, a painting artist, in addition to being a mother, and a wife.