Posted by **AlenMiler** at Jan. 15, 2017

English | 29 Dec. 2011 | ISBN: 819210754X | 432 Pages | AZW3/MOBI/EPUB/PDF (conv) | 228.54 MB

"Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms.

Posted by **AlenMiler** at Jan. 15, 2017

English | 20 Aug. 2013 | ISBN: 8192107558 | 450 Pages | AZW3/MOBI/EPUB/PDF (conv) | 201.78 MB

Peeling Data Structures and Algorithms Made Easy In Java: Data Structure and Algorithmic Puzzles.

Posted by **hill0** at Jan. 8, 2017

English | 15 Dec. 2016 | ISBN: 1489979816 | 283 Pages | PDF | 4 MB

This textbook presents the concepts and tools necessary to understand, build, and implement algorithms for computing elementary functions (e.g., logarithms, exponentials, and the trigonometric functions). Both hardware- and software-oriented algorithms are included, along with issues related to accurate floating-point implementation.

Posted by **hill0** at Jan. 2, 2017

English | 9 Jan. 2017 | ISBN: 3319457950 | 456 Pages | EPUB | 2.38 MB

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations.

Posted by **FenixN** at Nov. 29, 2016

HDRips | MP4/AVC, ~953 kb/s | 1280x720 | Duration: 08:39:00 | English: AAC, 61 kb/s (1 ch) | 4.52 GB

Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems—such as determining the shortest path through a graph and the minimum edit distance between two genomic sequences—using existing algorithms.

Posted by **naag** at Nov. 23, 2016

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 26 | 366 MB

Hatch as Expert in Algorithms through clear Python Algorithmic implementations and practical algorithm application

Posted by **AlenMiler** at Nov. 20, 2016

English | 29 Apr. 2016 | ISBN: 1540324001 | 282 Pages | MOBI/EPUB/PDF | 4.49 MB

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.

Posted by **FenixN** at Oct. 31, 2016

HDRips | MP4/AVC, ~164 kb/s | 1280x720 | Duration: 07:33:23 | English: AAC, 125 kb/s (2 ch) | 0.99 GB

In this Learning Data Structures and Algorithms video training course, Rod Stephens will teach you how to analyze and implement common algorithms used in data processing. This course is designed for the absolute beginner, meaning no previous programming experience is required.

Posted by **ParRus** at Oct. 24, 2016

WEBRip | English | MP4 + PDF Guides + Excercises files | 960 x 540 | AVC ~76.2 kbps | 29.970 fps

AAC | 128 Kbps | 44.1 KHz | 2 channels | 28:38:37 | 2.78 GB

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. An introduction to fundamental data types, algorithms, and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Specific topics covered include: union-find algorithms; basic iterable data types (stack, queues, and bags); sorting algorithms (quicksort, mergesort, heapsort) and applications; priority queues; binary search trees; red-black trees; hash tables; and symbol-table applications.

Posted by **house23** at Oct. 22, 2016

MP4 | AVC 202kbps | English | 1280x720 | 30fps | 5 hours | AAC stereo 59kbps | 595 MB

This course introduces some basic data structures (arrays, linked lists, stacks, queues, trees and heaps) and algorithms (various sorting algorithms, and algorithms for operations on binary search trees and heaps). We will also cover recursion in this course. Use of graphics and animations makes the lectures very easy to understand and digest. After taking this course, you will loose your fear for data structures and algorithms.