New employee announcement- Dr Yoni Nazarathy has joined SolarisAI
In June 2024, Dr Yoni Nazarathy joined the SolarisAI team as a Senior Specialist in AI & Data Analytics. He has expertise in Machine Learning, Applied Probability, Statistics, Operations Research, Simulation, Scientific Computing, Control Theory, Queueing Theory, Scheduling and Mathematical Education. His industry consulting expertise aligns with his academic expertise and in addition includes areas such as software for large language models (LLM), general software development and statistical inference.
Dr Nazarathy will be working part-time for SolarisAI through his consultancy Accumulation Point. He will be leading the research & development of new features for the SolarisAI SaaS platform such as predictive maintenance using artificial intelligence to predict future issues for utility solar farms and large scale commercial photovoltaic installations. He will also be providing leadership on other emerging areas for improving operations and maintenance at solar farms.
Dr Nazarathy has co-authored numerous refereed scientific publications and has co-authored two books.
His book “Mathematical Engineering of Deep Learning” provides a complete and concise overview of the mathematical engineering of deep learning. In addition to overviewing deep learning foundations, the treatment includes convolutional neural networks, recurrent neural networks, transformers, generative adversarial networks, diffusion models, reinforcement learning, graphical neural networks and multiple tricks of the trade. The focus is on the basic mathematical description of deep learning models, algorithms and methods. The presentation is mostly agnostic to computer code, neuroscientific relationships, historical perspectives, and theoretical research. The benefit of such an approach is that a mathematically equipped reader can quickly grasp the essence of modern deep learning algorithms, models, and techniques without having to look at computer code, neuroscience, or the historical progression.
His book “Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence" is for statistics, machine learning and data science using the Julia language. This book is valuable if you are a Julia user who wants to learn statistics or improve your statistics knowledge. It is best if you know some statistics and want to explore how it is done via Julia. It is most helpful if you are entering the world of data science and want to pick up a modern programming language together with the study of elementary statistical concepts needed for machine learning, data science, and artificial intelligence.
