Posted by **vivid23** at Sept. 26, 2015

HDTV | 1280x720 | MKV/x264 @ 3500 Kbps | 58mn | Audio: English AAC 160 kbps, 2 channels | Subs: English | 947 MB

Without us noticing, modern life has been taken over. Algorithms run everything from search engines on the internet to satnavs and credit card data security - they even help us travel the world, find love and save lives. Professor Marcus du Sautoy demystifies the hidden world of algorithms. By showing us some of the algorithms most essential to our lives, he reveals where these 2,000-year-old problem solvers came from, how they work, what they have achieved and how they are now so advanced they can even programme themselves.

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 **lengen** at Nov. 15, 2016

English | October 4, 2013 | ISBN: 0412164302 | 156 Pages | PDF | 3 MB

This text is based on a course of about 16 hours lectures to students of mathematics, statistics, and/or operational research. It is intended to introduce readers to the very wide range of applicability of linear programming, covering problems of manage ment, administration, transportation and a number of other uses which are mentioned in their context. The emphasis is on numerical algorithms, which are illustrated by examples of such modest size that the solutions can be obtained using pen and paper. It is clear that these methods, if applied to larger problems, can also be carried out on automatic (electronic) computers. Commercially available computer packages are, in fact, mainly based on algorithms explained in this book.

Posted by **lengen** at Nov. 15, 2016

English | October 4, 2013 | ISBN: 0412164302 | 156 Pages | PDF | 3 MB

This text is based on a course of about 16 hours lectures to students of mathematics, statistics, and/or operational research. It is intended to introduce readers to the very wide range of applicability of linear programming, covering problems of manage ment, administration, transportation and a number of other uses which are mentioned in their context. The emphasis is on numerical algorithms, which are illustrated by examples of such modest size that the solutions can be obtained using pen and paper. It is clear that these methods, if applied to larger problems, can also be carried out on automatic (electronic) computers. Commercially available computer packages are, in fact, mainly based on algorithms explained in this book.

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.

Posted by **AlenMiler** at Oct. 14, 2016

English | 9 Aug. 2016 | ASIN: B01K5H3JQE | 28 Pages | AZW3/MOBI/EPUB/PDF (conv) | 2.32 MB

This book introduces the fundamental concepts of genetic algorithms in theory followed by a walk-through on the design and implementation of a genetic algorithms project.

Posted by **AlenMiler** at July 5, 2014

Apress | November 24 2010 | ISBN: 1430232374 | Pages: 336 | PDF | 3.21 MB

Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.