Archives for February, 2021 - Page 4
Graph Neural Networks (GNNs) is a subtype of neural networks that operate on data structured as graphs. In an article covered earlier on Geometric Deep Learning, we saw how image processing, image classification, and speech recognition are represented in the Euclidean space. Graphs are non-Euclidean and can be used to study and analyse 3D data. …
The post Why Graph Neural Networks Are Gaining Popularity In 2021 appeared first on Analytics India Magazine.
Silicon Valley and Bangalore based AI startup Argoid has raised $1.7 million in a seed round led by YourNest Capital. Turbostart and Team Launchpad.vc, a capital affiliate of Rock Mountain Capital and Catch NYC participated in the round. Argoid is an AI-based streaming personalisation platform founded in 2019 by ex-Flipkart employees–Soundararajan Velu, Gokul, and Chackaravarthy…
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Capco is a global management and technology consulting firm dedicated to the financial services and energy industries. The company hires Capability Leads across countries to envision, strategise and plan data science capabilities in respective geography. We got in touch with Riddhi Sen, Principal Consultant and Data Science & Machine Learning Capability Lead at Capco, to…
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Go is a highly popular open-source programming language among developers, largely due to its impressive line up of features including automatic memory management and garbage collection. The language is most suited for building infrastructures like networked servers as well as tools for developers. Below, we have listed the top six data visualisation libraries in the…
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Here are the ten latest job openings for Data Engineers posted by top companies last week. Extras: Data Scientist – Advanced Machine Learning Location: Bangalore Responsibilities: Understanding the business problem as well as experimenting with various modelling architectures to create the best possible setup from the model and computational performance. Design, train, and deliver Data…
The post 10 Latest Data Engineer Job Openings At Top Companies appeared first on Analytics India Magazine.
In alliance with Deep Mind and the University of Toronto, Google has released DreamerV2, the very first Reinforcement Learning agent that achieves human-level Atari performance. The paper was released under this name: Mastering Atari with Discrete World Models by Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, Jimmy Ba. Reinforcement Learning methods have made quite a progress…
The post Mastering Atari with Discrete World Models: DreamerV2 appeared first on Analytics India Magazine.
Introduction to Pastas Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for statistically analyzing, visualizing and optimizing such models. It was introduced by Raoul A. Collenteur, Mark Bakker, Ruben Calje, Stijn A. Klop and Frans Schaars in an article published by the…
The post Guide To Pastas: A Python Framework For Hydrogeological Time Series Analysis appeared first on Analytics India Magazine.
Introduction to Pastas Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for statistically analyzing, visualizing and optimizing such models. It was introduced by Raoul A. Collenteur, Mark Bakker, Ruben Calje, Stijn A. Klop and Frans Schaars in an article published by the…
The post Guide To Pastas: A Python Framework For Hydrogeological Time Series Analysis appeared first on Analytics India Magazine.
Introduction to Pastas Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for statistically analyzing, visualizing and optimizing such models. It was introduced by Raoul A. Collenteur, Mark Bakker, Ruben Calje, Stijn A. Klop and Frans Schaars in an article published by the…
The post Guide To Pastas: A Python Framework For Hydrogeological Time Series Analysis appeared first on Analytics India Magazine.
Introduction to Pastas Pastas is an open-source Python framework designed for processing, simulation and analysis of hydrogeological time series models. It has built-in tools for statistically analyzing, visualizing and optimizing such models. It was introduced by Raoul A. Collenteur, Mark Bakker, Ruben Calje, Stijn A. Klop and Frans Schaars in an article published by the…
The post Guide To Pastas: A Python Framework For Hydrogeological Time Series Analysis appeared first on Analytics India Magazine.