GP Research Intelligence AI & Machine Learning Research Intelligence Issue 01 • August 17, 2026 Topics in This Edition LLM · Inference · High-Bandwidth Flash · RAG · Quantization Agentic AI · Evaluation · Scientific Discovery GPU Computing · HPC · Kernel Engineering Robotics · Vision-Langua...
Machine Learning Book February 26, 2021 - In this post, Gloria Pullman performs the book review at Reader's Digest Magazine on A Greater Foundation for Machine Learning Engineering - The Hallmarks of the Great Beyond in PyTorch, R, TensorFlow, and Python authored by Dr. Ganapathi Pulipaka. The comprehensive review provides an overview of what to expect in the book. Dr. Ganapathi Pulipaka is a data science leader, author, and premier speaker with expertise in machi...
Research papers How to keep up with research and trends in machine learning Machine learning in biomedicine - Nature AI Learns to Translate Human Brain Activity into Text - Nature Machine learning resources and tutorials Autoencoders Multi-layer perceptron A brief history of Apache Spark timeline Nature-inspired Algorithms – Particle swarm optimization using Python 15 Python libraries for data scientists Neural Networks: Backpropagati...
The emergence of open-source programming languages and toolsets in the recent times have introduced techniques to implement machine learning algorithms leveraging number of programming languages applying statistical classification and statistical inference on Jupyter notebooks. It's critical for the beginners in the field of data science to get acquainted with supervised learning and unsupervised learning, representation of data through several data engineering and data scie...
Word embeddings and high-dimensional data are ubiquitous in many facets of deep learning research such as natural language processing, building recommendation systems. Google in the recent times has open sourced the embedding project that works as an interactive collaborative visualization tool to visualize the high-dimensional data. The embedding works as a navigational map from the points to the data inputs in Euclidean space. Many types of big data require visualizatio...