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Dynamic Programming and Backtracking Full Course 2023 | Ace Coding Interviews With Ease | Scaler
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Data Structures and Algorithms (DSA): Stacks & Queues | Linked Lists | Sorting | Arrays - Dynamic Programming and Backtracking Full Course 2023 | Ace Coding Interviews With Ease | Scaler

Master the Art of Data Structures & Algorithms: Crack Coding Interviews with Ease in 2023! Explore Comprehensive Tutorials & Interview Prep on Stacks, Queues, Graphs, and More. Get Ready to Ace FAANG with Expert Guidance from SCALER!

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17 learners

What you'll learn

Develop proficiency in implementing commonly used data structures such as stacks, queues, and linked lists
Enhance problem-solving skills by applying algorithms to various coding challenges
Understand and optimize time complexity for efficient algorithm performance
Master dynamic programming and graph theory techniques for complex problem-solving

This course includes

  • 389 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Full Transcript

Dynamic Programming and Backtracking is crucial for coding interviews. Here is a full course video on Dynamic Programming and Backtracking in Data Structures to help you gain more insights. Learn more about Scaler: https://bit.ly/3CEJMmL 🔹Introduction to Dynamic Programming: Dynamic Programming is most commonly an optimization over plain recursion. A recursive solution that has repeated calls for the same inputs is optimized using Dynamic Programming. In a nutshell, the results of subproblems are stored, to omit the need of re-computing them when required. This simple optimization reduces time complexities from exponential to polynomial. 🔹Applications of Dynamic Programming: Dynamic programming is used where we have problems, which can be divided into similar sub-problems so that their results can be re-used. From this exclusive dynamic programming tutorial, you can learn how to solve important coding problems. 🔹 What is Backtracking Algorithm in Data Structures and Algorithm? Backtracking consists of building a set of solutions in an incremental manner. All the solutions that fail to satisfy the constraints will be removed. The algorithm builds a solution step by step increasing levels over time. Usually, we use a backtracking algorithm for to find solutions to decision problems as well as optimization problems. Sometimes, backtracking is also used for enumeration problems. Backtracking algorithm is not just useful for coding interviews but also for competitive programming. We have even covered important questions like N queens problem using backtracking to help you gain more insights into data structures and algorithms. The following topics are covered in this video 👇🏼 0:00 - Introduction 3:11 - Longest Increasing Sub-sequence Problem 15:13 - Regular Expression Match Problem 45:13 - Max Sum Path in Binary Tree ---------------------------------------- About Scaler -------------------------------------------------- We are a tech-focused upskilling and reskilling platform catering to tech enthusiasts in universities and working professionals. There are more Scaler graduates working at Amazon than all of the IITs combined! Learn more about Scaler: https://bit.ly/3CEJMmL 📌 Follow us on Social and be a part of an amazing tech community📌 👉 Meet like-minded coder folks on Discord - https://discord.com/invite/ejFeksEtTq 👉 Tweets you cannot afford to miss out on - https://twitter.com/scaler_official 👉 Check out student success stories, expert opinions, and live classes on Linkedin - https://www.linkedin.com/school/scalerofficial 👉 Explore value packed memes, carousels and get access to exclusive updates on Instagram - https://www.instagram.com/scaler_official/ 📢 Be a part of our one of a kind telegram community: https://t.me/Scalercommunity 🔔 Hit that bell icon to get notified of all our new videos 🔔 If you liked this video, please don't forget to like and comment. Never miss out on our exclusive videos to help boost your coding career! Subscribe to Scaler now! https://www.youtube.com/Scaler?sub_confirmation=1 #backtracking #dynamicprogramming #codinginterview

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