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via Udemy |
Go to Course: https://www.udemy.com/course/advanced-dynamic-programming/
Certainly! Here's a detailed review and recommendation of the Coursera course on Dynamic Programming based on the provided description: --- **Course Review and Recommendation: Dynamic Programming Mastery on Coursera** If you're someone who already has a basic understanding of dynamic programming (DP) and is eager to deepen your knowledge and improve your problem-solving skills, this course is an excellent choice. Designed for more experienced learners, it offers a focused approach to tackling complex DP problems that commonly challenge programmers. **Overview:** This course takes a practical and methodology-driven approach. The instructor shares a personal methodology for solving DP problems efficiently and accurately. The exercises are thoughtfully designed to mimic real-world scenarios and incorporate a variety of fields, making the learning process relevant and engaging. **Strengths:** - **Advanced Focus:** The course is not for absolute beginners. It assumes familiarity with basic DP concepts, making it suitable for learners who want to conquer more difficult problems. - **Hands-On Practice:** All exercises are created by the instructor, providing a curated set of challenging problems that push your understanding further. - **Real-Life Applications:** The problems cover a broad spectrum, including cases inspired by real-world situations, which enhances practical understanding. - **Language of Choice:** While solutions are provided in Python—highlighted for its simplicity in implementing DP algorithms—the concepts are transferable to any programming language of your choice. - **Concept Coverage:** The course emphasizes key DP objectives like finding minimum/maximum values, optimal paths, and subsets with desired properties. **Learning Experience:** You are encouraged to take your time with each problem, reflecting the course's focus on mastery over speed. This thoughtful pacing is ideal for thoroughly grasping complex concepts without feeling rushed. Since the exercises are designed to escalate in difficulty, perseverance is rewarded, providing a challenging yet rewarding learning journey. **Who Should Enroll?** This course is best suited for intermediate to advanced learners who have a foundational understanding of dynamic programming and wish to refine their skills. If you're comfortable with basic DP and want to tackle more sophisticated problems, this course will serve as a valuable resource. **Final Thoughts:** I highly recommend this course if you're committed to mastering dynamic programming beyond the basics. The instructor’s personalized methodology, coupled with challenging exercises and real-world relevance, will equip you with the skills to confidently approach complex DP problems in your projects or coding interviews. Take your time, practice consistently, and you'll find yourself solving problems that once seemed daunting. Enjoy your learning journey into the powerful world of dynamic programming! ---
Dynamic programming is by far a very useful technique, but sometimes it can be difficult to be implemented correctly.In this course I'm going to show you the methodology that I use, to solve easily any DP problem!You are going to deal with some hard-to-solve exercises. So this is not a course for beginners, but for those who are more familiar with dynamic programming.Take your time in every exercise, there is no reason to hurry up.You should know that all these exercises are created by myself. I tried to cover many fields (included cases from real-life problems).All solutions are implemented in Python. I think it's one of the easiest programming languages to implement DP algorithms and deal easily with data structures (1D-Lists, 2D-Lists, Tuples etc).Of course you can implement DP algorithms in any programming language of wide use.There is no reason to skip an exercise, if you think it's difficult enough for you. Probably the next one will be harder.The concepts that we will cover are:find the minimum / maximum valuefind the best path which minimizes / maximizes a valuediscover a subset that minimizes / maximizes a valueI hope you enjoy this course!