What Is the Future of Artificial Intelligence?
Author(s): Przemek Chojecki Bets for the year 2077 and before that as seen by GPT-3 Continue reading on Towards AI » Published via Towards AI …
Bank Scan: Your Personal Financial Advisor
Author(s): M Khorasani Artificial Intelligence, Programming Developing an AI Fintech application to analyze and determine the financial health of banking clients Report generated by Bank Scan In a world where 2–3 billion people are underbanked, including 25% of households in the United States, the …
Fully Explained SVM Classification with Python
Author(s): Amit Chauhan How the classification problem is solved with a real-life example. Continue reading on Towards AI » Published via Towards AI …
PySpark AWS S3 Read Write Operations
Author(s): Vivek Chaudhary Cloud Computing The objective of this article is to build an understanding of basic Read and Write operations on Amazon Web Storage Service S3. To be more specific, perform read and write operations on AWS S3 using Apache Spark …
Combining the Transformers Expressivity with the CNNs Efficiency for High-Resolution Image Synthesis
Author(s): Louis (What’s AI) Bouchard Tl;DR: They combined the efficiency of GANs and convolutional approaches with the expressivity of transformers to produce a powerful and… Continue reading on Towards AI » Published via Towards AI …
Creating AI Web Apps using TensorFlow, Google Cloud Platform, and Firebase
Author(s): Jonathan Quijas Machine Learning, Cloud Computing From the Sandbox to the Cloud: How to Easily Deploy your Machine Learning Models into Production Web Applications Photo by James Lee on Unsplash Introduction Training Machine Learning models for a web app with ML functionalities …
Metaheuristics
Author(s): Saman Siadati Computer Science, Optimization Magnificient lessons learned from nature Photo by James Wainscoat on Unsplash In finding the optimal answer with heuristic algorithms, we usually use searching methods by trial and error process. There is no guarantee that a solution will be …
Descriptive Statistics for Data-driven Decision Making with Python
Source: Image by the Author, created with Canva This article provides a sample of our book: “Descriptive statistics for data-driven decision making with Python” Author(s): Pratik Shukla, Roberto Iriondo Grab a full copy of our book ↓ Descriptive statistics for data-driven decision making with …
Yolov3 CPU Inference Performance Comparison — Onnx, OpenCV, Darknet
Author(s): Matan Kleyman Computer Vision Yolov3 CPU Inference Performance Comparison — Onnx, OpenCV, Darknet Opencv, Darknet, Onnxruntime Object Detection Frameworks | Image by author Choosing the right inference framework for real-time object detection applications became significantly challenging, especially when models should run on low-powered devices. In …
Will Self-Driving Cars Really Reduce Accidents?
Author(s): Steve Shwartz Self-driving Cars Photo: PhonlamaiPhoto / iStockPhoto The NHTSA website’s section on self-driving vehicles starts off with some compelling statistics: 36,560 people killed in motor vehicle accidents in the US in 2018 90% of motor vehicles accidents are caused by driver error …
Algorithmic Trading Models — Cyclical Methods
Author(s): Dhruva Krishnamurthy In the fourth article of this series, we will continue to summarise a collection of commonly used technical analysis trading models that… Continue reading on Towards AI » Published via Towards AI …
AI in Healthcare Data Centers
Author(s): Gaugarin Oliver Artificial Intelligence Data volumes and velocities in health care and other industries are growing at incredibly fast rates, driven largely by cloud computing and the proliferation of smart connected devices across the world. This information explosion has created opportunities …
Heuristic Solutions
Author(s): Saman Siadati The shortcut for optimization problems Continue reading on Towards AI » Published via Towards AI …
What’s in the TensorFlow Federated(TFF) box?
Author(s): Bala Priya Machine Learning Based on Krzysztof Ostrowski’s talk at OpenMined Privacy Conference 2020 Photo by Josh Calabrese on Unsplash Krzysztof Ostrowski is a Research Scientist at Google, where he heads the TensorFlow Federated development team. This blog post is inspired by …
Explainable Monitoring for Successful Impact with AI Deployments
Author(s): Anusha Sethuraman Artificial Intelligence Training and deploying ML models are relatively fast and cheap, but operationalization — maintaining, monitoring, and governing models over time — is difficult and expensive. An Explainable ML Monitoring system extends traditional monitoring to provide deep model insights with actionable steps. …
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