Last updated on Jan 9, 2024
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Learn the basics
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Practice, practice, practice
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Read and analyze code
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Learn from experts
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Explore new topics
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Here’s what else to consider
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- Mayank Modi Developer @ Delta🔺 | Ex - Fidelity | 5k+@LinkedIn | Problem Solver | AI Enthusiast
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- Daniel Pancu Senior Software Engineer • Cloud Engineer • DevOps • Web3 Developer • Contractor
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1 Learn the basics
Before you dive into advanced topics, you need to have a solid foundation of the basic concepts and techniques of algorithms. This includes data structures, complexity analysis, recursion, sorting, searching, and common algorithms patterns. You can learn these from books, online courses, or tutorials, but make sure you understand the logic, the trade-offs, and the applications of each concept.
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- Daniel Pancu Senior Software Engineer • Cloud Engineer • DevOps • Web3 Developer • Contractor
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Before finding the best way to become very good implementing algorithms you need to know all the basic types of data structures.Without understanding the capabilities of different data structures is like “going to war without arms!”, it becomes useless to find the best algorithmic solution with a lower understanding of data structures.The next step is to solve problems with algorithms that covers all the data structures.I think we have an infinite number of problems that can be solved with algorithms but trying to solve first the problems where you can use different data structures will make things much more clearer.
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- Avinash Gupta
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1. Study Fundamentals: - Master foundational data structures (arrays, trees) and algorithms (sorting, searching).2. **Take Courses:** - Enroll in online courses from platforms like Coursera and edX, covering algorithms and data structures.3. **Practice Regularly:** - Solve algorithmic problems on platforms like LeetCode and HackerRank to enhance problem-solving skills.4. **Participate in Contests:** - Join coding competitions (e.g., Codeforces) to apply algorithms in diverse problem-solving scenarios.5. **Read Research Papers:** - Explore research papers for advanced insights into specific algorithms.6. **Contribute to Open Source:** - Engage in open source projects to apply algorithms in real-world contexts.
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- Gustavo Pérez Alvarez Electrical Engineer - PhD. Specialist in: Electrical Syst. Planning/Elect. protections/Reliability/Opt. maintenance/Renew. Ener. Sourc./Electromagnetic pheno./Nanotech./AI/Machine and Deep learning/Python-R/DS-TensorFlow
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Learning programming languages: Mastering at least one programming language, such as Python or R, is essential for implementing algorithms and performing data analysis. Furthermore, it is important to know specific libraries for Machine Learning, such as TensorFlow and Scikit-learn.
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2 Practice, practice, practice
The best way to improve your algorithm skills is to practice solving problems regularly. You can use online platforms, such as LeetCode, HackerRank, or Codeforces, to find problems of different levels and domains. Try to solve them by yourself, without looking at the solutions or hints. If you get stuck, use a systematic approach to debug your code, such as tracing the input, output, and variables, or using a debugger tool. After you solve a problem, review the solution and compare it with other approaches. Learn from your mistakes and optimize your code.
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To become an expert , know that you cannot become an EXPERT in algorithms. The scope of algorithms is boundless with no definite limits. Only “practice, practice & practice” will make you an effective programmer. How? By looking at other’s code , by clearing doubts and trying your own hands in the problem statement.
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- Mayank Modi Developer @ Delta🔺 | Ex - Fidelity | 5k+@LinkedIn | Problem Solver | AI Enthusiast
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"Practice, practice, practice" is a fundamental principle that holds true in many domains, including mastering algorithms. It emphasizes the importance of hands-on experience, problem-solving, and continuous learning. Through consistent practice, you not only reinforce theoretical knowledge but also develop practical skills, problem-solving intuition, and resilience in the face of challenges. It's a mantra that highlights the iterative nature of skill development, encouraging a mindset of continual improvement.
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- Gustavo Pérez Alvarez Electrical Engineer - PhD. Specialist in: Electrical Syst. Planning/Elect. protections/Reliability/Opt. maintenance/Renew. Ener. Sourc./Electromagnetic pheno./Nanotech./AI/Machine and Deep learning/Python-R/DS-TensorFlow
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Becoming an artificial intelligence expert is a journey that requires dedication, ongoing education, and a passion for learning. To begin, it is essential to seek a solid foundation in computer science, mathematics, statistics, or related fields through formal education.
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3 Read and analyze code
Another way to sharpen your algorithm skills is to read and analyze code written by other programmers. You can find code examples on GitHub, Stack Overflow, or blogs, or you can ask your peers or mentors to share their code with you. Try to understand how the code works, what are the assumptions, the edge cases, and the limitations. You can also try to modify, improve, or refactor the code, or test it with different inputs and scenarios.
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4 Learn from experts
You can also learn a lot from experts who have extensive experience and knowledge in algorithms. You can watch their videos, podcasts, or webinars, where they explain their thought process, their tips and tricks, and their best practices. You can also follow their blogs, newsletters, or social media accounts, where they share their insights, challenges, and resources. You can also try to interact with them, by asking questions, giving feedback, or joining their communities.
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- Sayeeda Mehnaaz Mohiuddin Staff Engineer
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Continous learning , thinking by your self about the problem at question and reading a lot. What i think is if your mind is not brilliant enough to ans all the algorithimic questions read read read. It will become brilliant.
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5 Explore new topics
Finally, you can expand your algorithm skills by exploring new topics that interest you or challenge you. You can learn about different fields of algorithms, such as graph theory, dynamic programming, machine learning, cryptography, or game theory. You can also learn about different paradigms of algorithms, such as divide and conquer, greedy, backtracking, or randomized. You can also learn about different languages, frameworks, or tools that can help you implement algorithms more efficiently or effectively.
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- Gustavo Pérez Alvarez Electrical Engineer - PhD. Specialist in: Electrical Syst. Planning/Elect. protections/Reliability/Opt. maintenance/Renew. Ener. Sourc./Electromagnetic pheno./Nanotech./AI/Machine and Deep learning/Python-R/DS-TensorFlow
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In fact, it is not easy to become an expert in artificial intelligence. This requires a lot of study and research, you know? Unfortunately, you won't become an expert overnight. So, be very patient. We are going to show you some ways that can help you become an expert in this area. Stay with me until the end so you can learn everything!Firstly, it is very important to study, as we said above. Having basic and fundamental knowledge of IT, mathematics, logical reasoning, as well as programming logic and data analysis is crucial.Furthermore, it is important that you have a well-developed business vision to solve problems. You need to be prepared if you want to start in this field!
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6 Here’s what else to consider
This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?
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- Jorge S. Ribeiro Jr Senior Consultant | Telecom | AI Enthusiast | Network Automation
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To develop proficiency in algorithms, mastering complexity analysis is crucial. Sorting algorithms provide an excellent starting point for this endeavor.
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