Frontend Masters-Data Structures and Algorithms in JavaScript

Frontend Masters-Data Structures and Algorithms in JavaScript
English | Size: 4.34 GB
Category: Tutorial

Immerse yourself in a course tailored for engineers comfortable with JavaScript, but wanting to better understand the data structures and algorithms necessary to ace job interviews and build better software. Learn topics like recursion, stacks & queues, sorting algorithms, trees, linked lists, Binary Search Trees, Graphs, & Hash Tables, Big-O and Breadth-First and Depth-First Search all in one place! This course is your key to understanding some of the most common data structures and algorithms in Computer Science while reinforcing JavaScript programming techniques. Master these concepts and you can approach your next job interview or coding challenge with confidence! [Read more…]

Packt Publishing – Extending Machine Learning Algorithms

Packt Publishing – Extending Machine Learning Algorithms
English | Size: 398.28 MB
Category: Tutorial

Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. We will use libraries such as scikit-learn, e1071, randomForest, c50, xgboost, and so on.We will discuss the application of frequently used algorithms on various domain problems, using both Python and R programming.It focuses on the various tree-based machine learning models used by industry practitioners.We will also discuss k-nearest neighbors, Naive Bayes, Support Vector Machine and recommendation engine.By the end of the course, you will have mastered the required statistics for Machine Learning Algorithm and will be able to apply your new skills to any sort of industry problem. [Read more…]

Learning C Sharp Algorithms

Learning C Sharp Algorithms
English | Size: 235.36 MB
Category: CBTs

Understanding algorithms is a key requirement for all programmers. Algorithms give programs a set of instructions to perform a task. Expand your knowledge of common C# algorithms for sorting, searching, sequencing, and more. Learn how to apply them to optimize your C# developer skills and answer crucial interview questions. Reynald Adolphe reviews linked lists, stacks, queues, and binary and linear search. [Read more…]

O’Reilly – Supervised Classification Algorithms

O’Reilly – Supervised Classification Algorithms
English | Size: 497.49 MB
Category: Tutorial

Classification is the sub-field of machine learning encountered more frequently than any other in data science applications. There are many different classification techniques and this course explains some of the most important ones, including algorithms such as logistic regression, k-nearest neighbors (k-NN), decision trees, ensemble models like random forests, and support vector machines. The course also covers Naive Bayes classifiers and in so doing, covers Bayes’ theorem and basic Bayesian inference, both of which are widely used in training many machine learning algorithms. A basic knowledge of algebra is required. A solid understanding of differential calculus will be necessary for logistic regression, Support Vector Machines and Bayesian Inference. [Read more…]

Packt Publishing – Advanced Functional Data Structures and Algorithms

Packt Publishing – Advanced Functional Data Structures and Algorithms
English | Size: 732.69 MB
Category: Tutorial

Algorithms and datastructures are fundamentals in computer programming. Functional data structures have the power to improve the codebase of an application and improve its efficiency. With the advent of functional programming and powerful functional languages such as Scala, Clojure, and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit.
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Udemy – Learning Algorithms in JavaScript from Scratch – QIJKI

Udemy – Learning Algorithms in JavaScript from Scratch – QIJKI
English | Size: 389.68 MB
Category: Tutorial

This course teaches algorithms in javascript from the ground up. Using algorithms in your programming allows you to improve the efficiency, performance, speed, and scalability of your code/applications/programs. You will learn what algorithms are, why they are important, and how to code them out in JavaScript. You will also learn other important programming concepts along the way such as functional programming, time complexity, recursion, and other important concepts, because you will be implementing them in the algorithms that you build throughout this course. This course also heavily uses diagrams and animations to help make understanding the material easier. [Read more…]

Packt Publishing – Learning JavaScript Data Structures and Algorithms

Packt Publishing – Learning JavaScript Data Structures and Algorithms
English | Size: 132.71 MB
Category: Tutorial

As businesses collect increasing amounts of vital data, the need to structure software components increases every day. Using appropriate data structures and having a good understanding of algorithm analysis is key to writing maintainable and extensible quality software, thus solving the crisis.
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244 Algorithms e-Books

244 Algorithms e-Books
English | Size: 2.39 GB
Category: CBTs

Here is a cAn analytical model is a statistical model that is designed to perform a specific task or to predict the probability of a specific event.
In layman terms, a model is simply a mathematical representation of a business problem. A simple equation y=a+bx can be termed as a model with a set of predefined data input and desired output. Yet, as the business problems evolve, the models grow in complexity as well. Modeling is the most complex part in the lifecycle of successful analytics implementation.ollection of 224 ebook about Algorithms. [Read more…]

Pluralsight – Working with Graph Algorithms in Python

Pluralsight – Working with Graph Algorithms in Python
English | Size: 219.09 MB
Category: CBTs

This course focuses on how to represent a graph using three common classes of graph algorithms – the topological sort to sort vertices by precedence relationships, the shortest path algorithm, and finally the spanning tree algorithms.
A graph is the underlying data structure behind social networks, maps, routing networks and logistics, and a whole range of applications that you commonly use today.
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Lynda – Learning CSharp Algorithms

Lynda – Learning CSharp Algorithms
English | Size: 234.70 MB
Category: CBTs

Understanding algorithms is a key requirement for all programmers. Algorithms give programs a set of instructions to perform a task. Expand your knowledge of common C# algorithms for sorting, searching, sequencing, and more. Learn how to apply them to optimize your C# developer skills and answer crucial interview questions. Reynald Adolphe reviews linked lists, stacks, queues, and binary and linear search. [Read more…]