First of all, welcome to my new personal blog, where I will share with you very interesting topics about AI/ML, programming and embedded systems ๐.
Where am I at the end of 2024?
Back in 2021 I took Andrew Ngโs โMachine Learning by Stanford Universityโ specialization in Coursera, which was my first formal introduction to the amazing field of Machine Learning (ML).
It honestly felt really good to finish the specialization and not quit in the process. I must say, it was not easy! I remember some lectures were very complex, specially when learning about stochastic gradient descent (SGD) for the first time.
Anyways, I managed to finish the specialization and graduate from my Masterโs, which eventually got me a job related to ML ๐. Iโm happy because of that!
I can proudly say that below certificate is my first one in the field! Iโm sure it will not be the last one!
Since late 2021 I have worked in ML related tasks. I optimize and deploy deep learning models to embedded devices that have a deep learning accelerator or Neural Processing Unit (NPU).
Now Iโm really interested in diving deeper into Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), computer vision, optimization methods for Edge AI/ML and much more! To achieve that, I want to get back to the basics of ML to refresh the concepts and strengthen my skills, to eventually become an expert in the field.
I have decided to start my learning path again by taking the new, refreshed โMachine Learning Specializationโ course from DeepLearning.AI and share with you my journey in this blog. I hope you like it!
You can find the specialization at: Machine Learning Specialization.
Conclusion
Iโm starting my AI/ML learning path from scratch again and I will document part of it in this blog. Come join me in this adventure! Looking forward to it! ๐ป๐ฏ