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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
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  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
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    NEW

    What Is Reinforcement Learning and How It Improves Real-World Applications

    Reinforcement Learning (RL) stands out among machine learning paradigms for its ability to solve dynamic, real-world problems through trial-and-error interactions. Below is a structured overview of RL’s key aspects, challenges, and practical implementation considerations.. RL differs by relying on…
    Thumbnail Image of Tutorial What Is Reinforcement Learning and How It Improves Real-World Applications
    Image of Author Dr. Dipen
    Dr. Dipen
    I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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      Top 7 AI for Decision Making Tools You Should Try

      Watch: How I Use A.I. to Make Decisions by Principles by Ray Dalio The Quick Summary section below organizes the top 7 AI decision-making tools with a structured comparison table, key highlights, and practical insights to help users choose the right solution for their needs. As mentioned in the Why…
      Thumbnail Image of Tutorial Top 7 AI for Decision Making Tools You Should Try
      Image of Author Dr. Dipen
      Dr. Dipen
      I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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      NEW

      Fine-Tune LLMs with Newline's QLoRA for Better Performance

      QLoRA is the practical choice when you need to fine-tune a big model on hardware you actually own. It combines 4-bit quantization with low-rank adaptation, so the memory footprint drops far enough that you can experiment on a consumer GPU instead of renting cloud time. The quantization layer is the…
      Thumbnail Image of Tutorial Fine-Tune LLMs with Newline's QLoRA for Better Performance
      Image of Author Dr. Dipen
      Dr. Dipen
      I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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      TRPO RL Techniques for Policy Optimization

      Policy optimization is the backbone of effective reinforcement learning (RL), enabling agents to adapt and improve decision-making strategies in dynamic environments. Without strong optimization techniques, even the most advanced RL models struggle with instability, inefficiency, and failure to…
      Thumbnail Image of Tutorial TRPO RL Techniques for Policy Optimization
      Image of Author Dr. Dipen
      Dr. Dipen
      I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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      PNPM Tutorial for Monorepos and Package Management

      Watch: PNPM Workspaces Deep Dive 🚀 Fast Monorepo Setup by Code with tkssharma Newline's AI bootcamp leans hard on project-based learning, which gives you a clear path from model training to deployment. Each tutorial is a chain of linked modules: data prep, model building, inference, production.…
      Thumbnail Image of Tutorial PNPM Tutorial for Monorepos and Package Management
      Image of Author Dr. Dipen
      Dr. Dipen
      I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
      •Last Updated:
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