Posts
 |
| Photo: JumpStory |
 |
| Dynamics of Multibody Systems |
Illustrated with a wealth of examples and practical applications throughout, it is the ideal text for single-semester graduate courses on multibody dynamics taken in departments of aerospace and mechanical engineering, and for researchers and practicing engineers working on a wide variety of flexible multibody systems.
- Includes a new chapter on the integration of geometry, durability analysis, and design
- Existing chapters have been fully updated and revised
- Provides clear and complete coverage of spatial kinematics, rigid body dynamics and flexible body dynamics
Read more...
Mining of Massive Datasets
 |
Mining of Massive Datasets |
The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.
- Contains brand new material on deep learning, decision trees, and mining social-network graphs
- Includes a range of more than 250 exercises to challenge even the most able student
- Slides, homework assignments, project requirements, and exams are available from www.mmds.org
Read more...
Scaling up Machine Learning - Parallel and Distributed Approaches
 |
| Scaling up Machine Learning Parallel and Distributed Approaches |
Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algorithms, and deep dives into several applications, make the book equally useful for researchers, students and practitioners.
- A comprehensive view of modern machine learning, covering most of the contemporary research on large-scale problems
- Presents methods for scaling up a wide array of learning tasks, including classification, clustering, regression and feature selection
- Shows how to run state-of-the-art machine learning algorithms, such as boosted decision trees and SVMs, on multiple parallel-computing platforms
Read more...
Solutions Manual for Actuarial Mathematics for Life Contingent Risks
 |
| Solutions Manual for Actuarial Mathematics for Life Contingent Risks |
Beyond professional examinations, the textbook and solutions manual offer readers the opportunity to develop insight and understanding through guided hands-on work, and also offer practical advice for solving problems using straightforward, intuitive numerical methods. Companion Excel spreadsheets illustrating these techniques are available for free download.
- Complete solutions to all exercises in the required text for the Society of Actuaries' (SOA) LTAM Exam
- Solutions designed by authors to facilitate exam preparation and to deepen learning
- Companion spreadsheets available online show implementation of computational methods
Read more...
During Coronavirus - Social Distancing:
Stay home and switching to eLearning and read 📚books.
Source: Cambridge University Press.
