Search Results for: Data Science

Table of Contents Computer Vision and Deep Learning for Logistics Benefits Enriching Data Quality Strategic Asset Positioning Improved Predictive Analytics Applications Forecasting and Planning Optimization Automated Warehouse Predictive Maintenance Back-Office and Customer Experience Challenges Limited Access to Historical Data Lack…

In this tutorial, you will: Discover a technique for associating rows and columns together Learn how to detect tables of text/data in an image Extract the detected table from an image OCR the text in the table Apply hierarchical agglomerative…

In this tutorial, you will learn about the PyTorch deep learning library, including: What PyTorch is How to install PyTorch on your machine Important PyTorch features, including tensors and autograd How PyTorch supports GPUs Why PyTorch is so popular among…

In this tutorial, you will learn how to tune machine learning model hyperparameters with scikit-learn and Python. This tutorial is part one in a four-part series on hyperparameter tuning: Introduction to hyperparameter tuning with scikit-learn and Python (today’s post) Grid…

In this post, I interview Vince DiMascio, CIO/CTO of Berry Appleman & Leiden (BAL), a law firm specializing in corporate immigration. BAL is using computer vision, machine learning, and artificial intelligence to automatically classify immigration documents, thus helping expedite the…

In this post, I interview my former UMBC lab mate, Dr. Huguens Jean, who was just hired to work at Google’s Video AI Group as an artificial intelligence researcher. Huguens shares his inspirational story, starting from Port-au-Prince, Haiti where he…

In this tutorial, you will learn to install TensorFlow 2.0 on your Ubuntu system either with or without a GPU. There are a number of important updates in TensorFlow 2.0, including eager execution, automatic differentiation, and better multi-GPU/distributed training support,…

In this tutorial, you will learn to install TensorFlow 2.0 on your macOS system running either Catalina or Mojave There are a number of important updates in TensorFlow 2.0, including eager execution, automatic differentiation, and better multi-GPU/distributed training support, but…