Kaggle Launches 30 Days of ML Challenge for Machine Learning Beginners

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Kaggle, which was acquired by Google in 2017, is an online community of data scientists and Machine Learning Practitioners. Kaggle allows users to compete in various Machine Learning Challenges, publish datasets, hold discussions, run code on the cloud and publish it. Recently, it has also added some courses for beginners to facilitate learning on the …

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Use Machine Learning to Detect Gravitational Waves and Win!

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History was made on 14th September 2015 when the first direct observation of Gravitational Waves was made. The gravitational wave originated from the merger of two black holes and was detected by the LIGO gravitational wave detectors in Livingston and Hanford. Since then, Gravitational Waves have been recorded and analyzed to detect and study mergers …

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Qiskit opens Registration for Global Summer School on Quantum Machine Learning

Quantum Computing / By

Qiskit opened early bird registration for the Qiskit Global Summer School on Quantum Machine Learning. Read below to know more about Qiskit Global Summer School, and how you can get yourself registered for the event. It’s finally here! Early bird registration is now open for the Qiskit Global Summer School on Quantum Machine Learning from …

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Is this the best book to get started with Quantum Computing?

Quantum Computing / By

In the past few years, Quantum Computing has gained a lot of hype. However, being a programmer and not having a physics background, you might find it difficult to get resources to get started with this new and amazing field. This is where Programming Quantum Computers: Essential Algorithms and Code Samples by Eric R. Johnston, …

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Nvidia bets big on Data Processing Unit- Unveils BlueField 3, BlueField 4

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The time for BlueField has come. Jensen Huang, Founder and CEO, Nvidia on BlueField Data Processing Unit Nvidia’s GPU Technology Conference(GTC) 2020 featured a new, first-of-its-kind chip that went by the name BlueField Data Processing Unit or BlueField DPU. It was the world’s first data centre infrastructure on a chip designed specifically for enterprise cloud …

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How to use Albumentations for Data Augmentation- Part I

Deep Learning / By

Data Augmentation is a regularization technique that increases the size of the training dataset by adding “artificial” data to the dataset. Data Augmentation serves the purpose of making the model more robust by providing more data and hence reducing overfitting. This artificial data is generated using the original data such that it is indistinguishable from …

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Computer Vision trends to look out for in 2021

Deep Learning / By

The field of Artificial Intelligence, and particularly Computer Vision has witnessed a lot of advances in recent years. Prior computer vision fields such as image classification have seen appreciable improvements in classification accuracy. Whereas various new fields and use cases have never ceased to amaze us. New neural network architectures, use cases, applications, and training …

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