Algorithms For Interviews

Algorithms For Interviews  eBooks & eLearning

Posted by tukotikko at May 11, 2012
Algorithms For Interviews

Algorithms For Interviews By Adnan Aziz, Amit Prakash
2010 | 222 Pages | ISBN: 1453792996 | PDF | 15 MB

Python for Data Structures, Algorithms, and Interviews  eBooks & eLearning

Posted by naag at Feb. 4, 2016
Python for Data Structures, Algorithms, and Interviews

Python for Data Structures, Algorithms, and Interviews!
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 15.5 Hours | 2.62 GB MB
Genre: eLearning | Language: English

Get a kick start on your career and ace your coding interviews!

Algorithms for Next-Generation Sequencing Data Techniques, Approaches, and Applications  eBooks & eLearning

Posted by AvaxGenius at Sept. 18, 2017
Algorithms for Next-Generation Sequencing Data Techniques, Approaches, and Applications

Algorithms for Next-Generation Sequencing Data Techniques, Approaches, and Applications By Mourad Elloumi
English | PDF,EPUB | 2017 | 356 Pages | ISBN : 3319598244 | 10.40 MB

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly.

Algorithms for Memory Hierarchies: Advanced Lectures (Repost)  eBooks & eLearning

Posted by DZ123 at Sept. 9, 2017
Algorithms for Memory Hierarchies: Advanced Lectures (Repost)

Ulrich Meyer, Peter Sanders, Jop Sibeyn, "Algorithms for Memory Hierarchies: Advanced Lectures"
English | 2003 | ISBN: 3540008837 | PDF | pages: 442 | 3.0 mb

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization  eBooks & eLearning

Posted by nebulae at Sept. 9, 2017
Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Omid Bozorg–Haddad and Mohammad Solgi, "Meta-heuristic and Evolutionary Algorithms for Engineering Optimization"
English | ISBN: 1119386993 | 2017 | 304 pages | PDF | 2 MB

Algorithms for Compiler Design (Repost)  eBooks & eLearning

Posted by step778 at Sept. 8, 2017
Algorithms for Compiler Design (Repost)

O G Kakde, "Algorithms for Compiler Design"
2002 | pages: 348 | ISBN: 1584501006 | PDF (converted) | 12,5 mb
Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics [Repost]

Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics by Ujjwal Maulik
English | 2 Sept. 2011 | ISBN: 3642166148 | 300 Pages | PDF | 5.69 MB

This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques

Discover Algorithms for Reward-Based Learning in R  eBooks & eLearning

Posted by naag at Aug. 26, 2017
Discover Algorithms for Reward-Based Learning in R

Discover Algorithms for Reward-Based Learning in R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 680 MB
Genre: eLearning | Language: English
Data Analytics: Models and Algorithms for Intelligent Data Analysis, Second Edition (Repost)

Data Analytics: Models and Algorithms for Intelligent Data Analysis, Second Edition By Thomas A. Runkler
English | EPUB | 2016 | 150 Pages | ISBN : 3658140747 | 2.91 MB

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications.

Data Analytics: Models and Algorithms for Intelligent Data Analysis (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 30, 2017
Data Analytics: Models and Algorithms for Intelligent Data Analysis (Repost)

Data Analytics: Models and Algorithms for Intelligent Data Analysis By Thomas A. Runkler
English | PDF | 2012 | 140 Pages | ISBN : 3834825883 | 2.09 MB

This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications.