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Autor Tópico: Dynamic Programming Coding Interview Question + Solution  (Lida 134 vezes)

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Dynamic Programming Coding Interview Question + Solution
« em: 27 de Agosto de 2020, 10:18 »

Dynamic Programming Coding Interview Question + Solution
Duration: 1h28m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 363 MB
Genre: eLearning | Language: English
Ace your coding interview for dyanmic programming interview questions

What you'll learn
Be able to understand the dynamic programming problems.
Build a strong intuition for any kind of dynamic programming problem when approaching to solve problems
Gain confident in dyanmic programming problems
How to come up with a dynamic programming solution
How to code dynamic programming solution
Inside intuition to solve dyanmic programming problems
Step by step approach to solve any dynamic programming problem.

Requirements
A Computer or Smart Device With Internet Connection
Basics Knowledge of Data Structures and Algorithms

Description
Welcome to "Dynamic Programming Coding Interview Question + Solution" course!
Dynamic programming or DP forms a substantial part of any coding interview especially for the big tech industries like Google, Facebook, Amazon, Microsoft, Uber and more.
Dynamic Programming is an algorithm in Computer Science that covers the technical term "algorithm paradigm" to solve a problems that can be solved using dynamic programming. In this course we will go into some detail on this subject. The course is designed not to be heavy on mathematics and formal definitions but we focused on problem solving.
We will be giving you inside tips to solve a dynamic programming problems so that you can visualize and apply what you have learnt to solve dp problems.
So what are you waiting for?
See you inside!

Who this course is for:
Who want to ace their technical coding interview at a huge industry like Google, Facebook, Microsoft, Amazon, Uber and more
Students who want to get the inside intuition to solve dynamic programming problems
Who want to develop their intuition to solve dynamic programming problems

Download link:
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