Welcome to a realm where the transformative knowledge of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) can be found! This blog will guide you through the wealth of resources collected by Dr. Tirthajyoti Sarkar, focusing on widely cited papers and literature, as well as free tutorials and books in these fascinating fields.
Understanding the Collection
This collection is akin to a treasure chest filled with valuable insights, carefully curated for your explorative journey. The directory is organized into specific topics, making it easier for you to navigate the vast landscape of AI and its methodologies.
Key Topics in This Collection
- AI Hardware
- Application of Artificial Intelligence
- AI and Game Theory
- Deep Learning
- Fairness, Bias, and Ethics in AI
- General Machine Learning topics
- Reinforcement Learning
- Statistics and Statistical Learning
- Learning Theory
- ML Ops (New!)
- ML for Manufacturing and IoT (New!)
How to Use This Resource
To make the most out of this collection, here are a few steps you can follow:
- Explore each topic by clicking on the links provided.
- Read the papers and tutorials that interest you to deepen your understanding of each domain.
- Take notes and compare the methods discussed in various papers to discover innovative applications.
Troubleshooting Tips
Should you encounter any obstacles while navigating this vast resource or if links are not functioning as expected, consider the following troubleshooting ideas:
- Ensure that the URLs are correctly copied; re-check for typos.
- If a repository is down or inaccessible, try refreshing the page or accessing it later.
- Look for alternate links or resources through search engines or academic databases.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

