Here's how you can stay in the loop with the latest algorithmic trends and techniques for interviews.

Coursera: "Algorithms Specialization" by Stanford University, "Data Structures and Algorithm" by University of California, San Diego. edX: "Algorithmic Design and Techniques" by IITBombayX. Udacity: "Data Structures and Algorithms Nanodegree". Look for courses with interactive exercises, quizzes, and hands-on projects.

"Introduction to Algorithms" by Cormen, Leiserson, Rivest, and Stein (CLRS). "Algorithms" by Robert Sedgewick and Kevin Wayne. "The Algorithm Design Manual" by Steven S. Skiena.

Unless you go out and see for yourself what's happening in the industry by interacting with other folks working on similar/different domains, you won't be able to gather a different perspective. Venturing beyond our familiar circles and gaining a fresh perspective once in a while is crucial. Sometimes we tend to stay in our circle/bubble, that we fail to realise at what pace the rest of the world is growing. Attending conferences, seminars, and networking events broadens our horizons and exposes us to diverse viewpoints. The best part is you can get a taste of virtual networking these days in community forums. So why not make best use of the same? Who knows what opportunity lies next for you?

Stack Overflow: Ask specific questions and find answers to common problems. Reddit: Subreddits like r/learnprogramming, r/algorithms, and r/AskComputerScience. GitHub: Explore repositories with algorithm implementations and contribute to open-source projects.

MIT OpenCourseWare: Courses like "Introduction to Algorithms" and "Design and Analysis of Algorithms". Stanford Online: Lectures on algorithms and data structures. mycodeschool: Detailed tutorials on algorithms and data structures. freeCodeCamp.org: Comprehensive tutorials on various programming topics including algorithms. CS50 by Harvard: Extensive computer science lectures with algorithm content.

LeetCode: Practice coding problems and participate in weekly contests. HackerRank: Solve algorithm challenges and participate in coding competitions. CodeSignal: Practice coding challenges and take coding assessments. TopCoder: Participate in algorithm contests and improve problem-solving skills.

Applying your knowledge through personal projects is crucial for solidifying your skills. Create projects that require implementing various algorithms and data structures. This hands-on practice is invaluable. Showcase your projects on GitHub to build a portfolio that demonstrates your capabilities to potential employers/audience.

Attending interviews regularly can be a great way to stay updated on the latest algorithmic trends, even if you're not actively looking for a new job. It helps you understand current market requirements and expectations, keeping your skills sharp and relevant.

Make learning a habit. Set aside regular time for studying new algorithms, solving problems, and reading up on the latest trends. Engage with professionals in the field. Networking can provide insights into what top companies are looking for and how to better prepare for interviews.