Data-science

When developing software, understanding the system on which your software runs is paramount. By tapping into hardware and system details, developers can tailor applications to leverage maximum performance. Here's a guide on how to use Python to retrieve this information.

In our digital age, precise and swift text extraction from images is transforming industries. Explore OCR and top Python libraries for extracting insights from images. This guide will illuminate Python's prowess in effortless text extraction, enhancing your digitization and extraction efforts.

GNNs are tailored deep learning models for graphs, propagating info, using message passing, and multiple layers to capture complex dependencies. Variants like GCNs, GATs, and Graph Transformers find applications in diverse fields, enabling DL advancements in intricate graph data modeling.

Dive into a web of insights and discover how graphs, graph analytics, and cutting-edge Python libraries are illuminating the hidden connections in your data. From social networks to recommendation engines to biology, learn how you can simplify complexity through graph-based, data-driven decisions.

The use of geospatial data is highly complex but the impact across industries is even more transformative. Here's a quick overview of some of what it is, the trends in industries, and some of the main Python libraries to help accelerate your innovation.

Time series data holds a captivating narrative of change over time, revealing hidden patterns, trends, and fluctuations that shape our world. In this brief overview, we'll cover definitions, techniques, and real-world applications, then highlight a few Python libraries to help you get started.

Here's a brief overview on Anomaly Detection and the top Python libraries, algorithms, and evaluation metrics to help you start deriving value for your use case faster.

Checkout the Top 20 Python libraries for Computer Vision use cases to help you innovate and get to market faster.

Here are some of the best Explainable AI libraries to help Data Science, ML, and AI practitioners interpret the decisions of the AI solutions and better explain the results to business partners.

This overview aims to guide Data Science and AI practitioners in the healthcare industry on how to leverage the power of Intel OpenVINO (Open Visual Inference & Neural Network Optimization) to optimize their AI models, resulting in enhanced performance,  reduced inference time, and increased ability to deploy models across various healthcare settings.

Here's a quick overview and a few tips and scripts that will help you get more out of your experience and work within Google's Colab platform for learning to code, work with data, and experiement with various data science / AI / ML tools and techniques in 2023.

Here's a roundup and overview of easy to use platforms and tools that are freely available to get started with AI and Data Science in 2023.