Algorithms

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles  eBooks & eLearning

Posted by AlenMiler at Jan. 15, 2017
Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles

Data Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles by Narasimha Karumanchi
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.
Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles

Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles by Narasimha Karumanchi
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.

Elementary Functions: Algorithms and Implementation [Repost]  eBooks & eLearning

Posted by hill0 at Jan. 8, 2017
Elementary Functions: Algorithms and Implementation [Repost]

Elementary Functions: Algorithms and Implementation by Jean-Michel Muller
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.

Algorithms for Data Science  eBooks & eLearning

Posted by hill0 at Jan. 2, 2017
Algorithms for Data Science

Algorithms for Data Science by Brian Steele
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.

Working with Algorithms in Python [repost]  eBooks & eLearning

Posted by FenixN at Nov. 29, 2016
Working with Algorithms in Python [repost]

Working with Algorithms in Python
HDRips | MP4/AVC, ~953 kb/s | 1280x720 | Duration: 08:39:00 | English: AAC, 61 kb/s (1 ch) | 4.52 GB
Genre: Development / Programming

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.

Algorithms - An Intro Course in Algorithms coded in Python (2016)  eBooks & eLearning

Posted by naag at Nov. 23, 2016
Algorithms - An Intro Course in Algorithms coded in Python (2016)

Algorithms - An Intro Course in Algorithms coded in Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 26 | 366 MB
Genre: eLearning | Language: English

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

Genetic Algorithms with Python  eBooks & eLearning

Posted by AlenMiler at Nov. 20, 2016
Genetic Algorithms with Python

Genetic Algorithms with Python by Clinton Sheppard
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.

Learning Data Structures and Algorithms [repost]  eBooks & eLearning

Posted by FenixN at Oct. 31, 2016
Learning Data Structures and Algorithms [repost]

Learning Data Structures and Algorithms
HDRips | MP4/AVC, ~164 kb/s | 1280x720 | Duration: 07:33:23 | English: AAC, 125 kb/s (2 ch) | 0.99 GB
Genre: Development / Programming

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.

Coursera: Algorithms - Princeton University (Part I + Part II) [repost]  eBooks & eLearning

Posted by ParRus at Oct. 24, 2016
Coursera: Algorithms - Princeton University (Part I + Part II) [repost]

Coursera: Algorithms - Princeton University
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
Genre: eLearning Video / Computer Science, Development, Programming

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.

Udemy - Introduction to Data Structures & Algorithms in Java  eBooks & eLearning

Posted by house23 at Oct. 22, 2016
Udemy - Introduction to Data Structures & Algorithms in Java

Udemy - Introduction to Data Structures & Algorithms in Java
MP4 | AVC 202kbps | English | 1280x720 | 30fps | 5 hours | AAC stereo 59kbps | 595 MB
Genre: Video Training

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.