I am Daniel Anderson, and I've spent years working with Python and machine learning. I have a solid background in computer science and enjoy figuring out complex algorithms. I focus on understanding how machine learning models work and turning them into practical solutions. My experience ranges from academic research to real-world projects, where I've designed and deployed AI systems in various industries. I work on making neural networks more efficient and keep up with new developments in AI hardware. I'm driven by curiosity and a dedication to improving the field.

On TensorScience, I want to share both the technical details and the real-world insights I've learned over time. I know that getting into machine learning can be both exciting and tough, especially when choosing the right hardware. Keeping that in mind, my reviews and tutorials aim to combine practicality with new ideas, giving readers straightforward advice. Whether you're an experienced developer or just curious about the field, I'm here to make machine learning easier to understand and to provide you with the tools and knowledge to start your AI journey with confidence.