The starter kit is part of the IBM Cloud-Native Toolkit
The post IBM Launches AI Starter Kit To Deploy ML Models Faster appeared first on Analytics India Magazine.
“How much of the data is superfluous? Which examples are important for generalisation? And how does one find them?” With the cost for deep learning model training on the rise, individual researchers and small organisations are settling for pre-trained models. Today, the likes of Google or Microsoft have budgets (read:millions of dollars) for training state…
The post Stanford Researchers Put Deep Learning On A Data Diet appeared first on Analytics India Magazine.
Intel and Alibaba have launched 3D Athlete Tracking that utilises AI and computer vision to show real-time data during games.
The post How Tokyo Olympics Is Using Tech appeared first on Analytics India Magazine.
Intel and Alibaba have launched 3D Athlete Tracking that utilises AI and computer vision to show real-time data during games.
The post How Tokyo Olympics Is Using Tech appeared first on Analytics India Magazine.
Keeping the current scenario in mind, there will be a massive opportunity for autonomous players in the market soon.
The post The Rise And Rise Of Autonomous Vehicles Startups In India appeared first on Analytics India Magazine.
The method and collection of data can also introduce bias.
The post How To Reduce Bias In ML Models appeared first on Analytics India Magazine.
The method and collection of data can also introduce bias.
The post How To Reduce Bias In ML Models appeared first on Analytics India Magazine.
The research is supported in part by DARPA through the Machine Common Sense Program.
The post What is DrQ Algorithm by NYU & Facebook AI Research appeared first on Analytics India Magazine.
Vaex is a Python library for Out-of-Core DataFrames and helps to load, visualize and explore big tabular datasets. It can aid in calculating statistical operations such as mean, sum, count, standard deviation etc., on an N-dimensional grid, up to a billion rows per second.
The post How To Process Humongous Datasets Using Vaex? appeared first on Analytics India Magazine.
Image extrapolation is such a task in computer vision that aims to fill the surrounding region of a sub-image, e.g. completing the object appearing in the image or predicting the unseen view from the scene picture. This task is extremely challenging since the extrapolated image must be realistic with reasonable and meaningful context. Moreover, the extrapolated region should be consistent in structure and texture with the original sub-image.
The post Hands-On Guide To Image Extrapolation With Boundless-GAN appeared first on Analytics India Magazine.