C# and Algorithmic Thinking for the Complete Beginner by Aristides S Bouras
English | December 17, 2019 | ISBN: 1671594363 | 744 pages | EPUB | 4.47 Mb
Thoroughly revised for the latest version of C#, this book explains basic concepts in a clear and explicit way that takes very seriously one thing for granted-that the reader knows nothing about computer programming.

English | 2021 | ISBN: 1636392040 | 132 pages | True PDF | 12.28 MB
This book focuses on techniques for automating the procedure of creating external labelings, also known ascallout labelings.In this labeling type, the features within an illustration are connected by thin leader lines (called leaders) with their labels, which are placed in the empty space surrounding the image.
In general, textual labels describing graphical features in maps, technical illustrations (such as assembly instructions or cutaway illustrations), or anatomy drawings are an important aspect of visualization that convey information on the objects of the visualization and help the reader understand what is being displayed.

Algorithmic Aspects of Machine Learning By Ankur Moitra
2018 | 158 Pages | ISBN: 1316636003 | PDF | 2 MB
This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.99 GB | Duration: 12h 36m
What you'll learn

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 457 MB | Duration: 1h 26m
What you'll learn

An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain
by Satya R. Chakravarty and Palash Sarkar
English | 2020 | ISBN: 1789738946 | 209 Pages | PDF | 2.35 MB

Binary Quadratic Forms: An Algorithmic Approach by Johannes Buchmann
English | PDF | 2007 | 327 Pages | ISBN : 3540463674 | 3.3 MB
The book deals with algorithmic problems related to binary quadratic forms. It uniquely focuses on the algorithmic aspects of the theory. The book introduces the reader to important areas of number theory such as diophantine equations, reduction theory of quadratic forms, geometry of numbers and algebraic number theory. The book explains applications to cryptography and requires only basic mathematical knowledge. The author is a world leader in number theory.

Algorithmic Decision Theory: 6th International Conference, ADT 2019, Durham, NC, USA, October 25-27, 2019, Proceedings by Saša Pekeč
English | PDF | 2019 | 181 Pages | ISBN : 303031488X | 5.4 MB
This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019. The 10 full papers presented together with 7 short papers were carefully selected from 31 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.

English | 2021 | ISBN: B09B3BHMSV | 133 pages | PDF EPUB AZW3 | 28.88 MB
Data Structure is a way of collecting and organising data in such a way that we can perform operations on these data in an effective way. Data structure is about rendering data elements in terms of some relationship, for better organisation and storage. For example, we have some data which has, distance and location in the example. The "location" is of String data type and distance is of integer data type.
An algorithm is a method to solve problem that consists of exactly a list of rules with a well-defined sequence to follow in order to solve the problem. Algorithmic thinking consists a pool of abilities: to analyse a given problem, to specify the problem precisely, to find the basic actions that are adequate to the given problem, to construct a correct algorithm to a given problem using the workable actions, to think about all possible cases of a problem and to improve the efficiency of an algorithm.