Predictive Analytics in Educational Data Mining With Machine Learning - Image 1

£61.00

LAP Lambert Academic Publishing Predictive Analytics in Educational Data Mining With Machine Learning

Name: Predictive Analytics in Educational Data Mining With Machine Learning
Brand: LAP Lambert Academic Publishing
Price: 61.0 GBP
Availability: InStock

Education

Price data last checked 117 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

It has never been this cheap. We have no record of a lower price.

£61 today · cheaper than every other day in the last 24 months

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 614 days • 614 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 614 days • 1 price levels

Days at Price

Price Analysis

Most common price: £61 (614 days, 100.0%)

Price range: £61 - £61

Price levels: 1 different prices over 614 days

Description

This book consists of information related to Educational Data Mining and Machine Learning. First, Teacher’s performance predicted to find the quality of teaching to get the better performance of learner and to provide the better quality of materials. Machine Learning Algorithms used for prediction of instructor performance depends on the feedback collected from the students. The supervised machine learning algorithms applied in the dataset. The implementation was done in R Programming. The Support Vector Machine provides high accuracy comparing with other classifiers. Second, the students need to be classifying with different groups based on knowledge level value and level of interest such as beginner, intermediate and master. The benchmark dataset used from Kaggle. The same dataset executed with the different machine learning and deep learning algorithms. The high performance produced by Deep Neural Network comparing with other machine learning classifiers. Third, the Recommendation system was developed which is used to recommend needed materials to the students based on their interest using Context Aware-Neural Collaborative Filtering.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 6206152324
Category: Books > Subjects > Science, Nature & Maths > Education
Domain: Amazon UK
Release Date: 23 March 2023
Listed Since: 16 April 2023

Barcode

No barcode data available

LAP Lambert Academic Publishing Predictive Analytics in Educational Data Mining With Machine Learning

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Educational Data Mining: Applications and Trends: 524 (Studies in Computational Intelligence, 524)

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III: 11441 (Lecture Notes in Computer Science, 11441)

Meta-Learning in Computational Intelligence: 358

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, ... (Lecture Notes in Computer Science, 9851)

Machine Learning and Knowledge Discovery in Databases, Part II: European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, ... (Lecture Notes in Computer Science, 6912)

Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)

Adoption of Data Analytics in Higher Education Learning and Teaching (Advances in Analytics for Learning and Teaching)

Educational Data Mining with R and Rattle (River Publishers Series in Information Science and Technology)

Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities

Intelligent Learning Systems

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining

Concepts and Real-Time Applications of Deep Learning (EAI/Springer Innovations in Communication and Computing)

Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019): 896 (Studies in Computational Intelligence, 896)

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Intelligent Information and Database Systems: 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3–5, 2017, Proceedings, Part II: 10192 (Lecture Notes in Computer Science, 10192)

Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

Intelligent Information and Database Systems: 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017, Proceedings, Part I: 10191 (Lecture Notes in Computer Science, 10191)

Penguin Random House Deep Learning (Adaptive Computation and Machine Learning series)

Springer Deep Learning: Concepts and Architectures 866 Book