Algorithms in Motion
Based on the best-selling Grokking Algorithms
Beau Carnes
  • Course duration: 2h 42m
    Estimated full duration: 5h
  • MEAP began August 2017
  • Publication in January 2018 (estimated)
See it. Do it. Learn it! Algorithms - established processes for solving computational problems-are the foundation of computer programming. Mastering the most important algorithms and learning to recognize where they should be applied are required skills for any developer. Algorithms in Motion introduces you to the world of algorithms and how to use them as effectively as possible through high-quality video-based lessons, real-world examples, and built-in exercises, so you can put what you learn into practice. Based on the best-selling book Grokking Algorithms, this liveVideo course brings classic algorithms to life!

"Good and simple to understand introduction to alghorithms."

~ Boris Vasile, Team Lead, Garmin Cluj

"Great way to quickly recap the most common algorithms."

~ Jonathan Wood, Software Consultant, Wintellect

"Explains the fundamentals of some fairly complex computer science in a way that makes sense to anyone."

~ Derek Hampton, Senior Developer, Advanced Retail Ltd

"A gentle introduction to the traditional computer science topics of data structures and algorithms in a way that is not intimidating to approach."

~ Ryan Burrows, Senior Software Developer, Rooster Park Consulting

Table of Contents detailed table of contents

Introduction to Algorithms

Introduction

Binary Search

Big O Notation

Selection Sort

Arrays and Linked Lists

Selection Sort

Recursion

Recursion

The Stack

Quicksort

Divide and Conquer

Quicksort

Big O Notation Revisited

Hash Tables

Hash Functions

Use Cases

Collisions

Performance

Breadth-first search

What is a graph?

Breadth-first search

Implementing the graph

Implementing the algorithm

Recap

Dijkstra’s algorithm

Working with Dijkstra’s algorithm

Terminology

Trading for a piano

Negative-weight edges

Implementation

Recap

Greedy algorithms

The classroom scheduling problem

The knapsack problem

The set-covering problem

NP-complete problems

Traveling salesperson, step by step

Recap

K-nearest neighbors

Classifying oranges vs. grapefruit

Building a recommendations system

Intro to machine learning

Recap

Dynamic programming

The knapsack problem

Knapsack problem FAQ

Longest common substring

Recap

Where to go next

Trees

Inverted indexes

The Fourier transform

Parallel algorithms

MapReduce

Bloom filters and HyperLogLog

The SHA algorithms

Locality-sensitive hashing

Diffie-Hellman key exchange

Linear programming

About the subject

An algorithm is a repeatable procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. This engaging course makes it easy to learn and use the most important algorithms effectively.

About the video

Algorithms in Motion teaches you how to apply common algorithms to the practical problems you face every day as a programmer. Following the expert guidance of liveVideo instructor Beau Carnes, you'll start with the basics, including Big O notation, fundamental data structures, and recursion. Then, you'll explore problem-solving techniques, that will empower you to see the algorithm you need in the task you're trying to accomplish. Finally, you'll finish the course by applying more advanced algorithms, such as hash tables, graph algorithms, and K-nearest.

Prerequisites

This easy-to-follow video course is perfect for self-taught programmers, engineers, or anyone who wants to brush up on classic algorithms.

What you will learn

  • Search, sort, and graph algorithms
  • Breadth-first search
  • Performance concerns
  • Implementing algorithms in Python

About the instructor

liveVideo instructor Beau Carnes is a software developer and a recognized authority in software instruction. Besides teaching in-person workshops and classes, he has also created around 100 software training videos that receive over 40K views per month. This includes a series on data structures and algorithms. Grokking Algorithms by Adit Bhargava is available at manning.com in pBook, eBook, and liveBook formats.

Manning Early Access Program (MEAP) Watch raw videos as they are added, and get the entire course, complete with transcript and exercises, when it is finished.
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