24 Oct

Everything You Need To Know About TensorFlow 2.0 To Write Your First ML Programme

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image-7903

Recently the machine learning world was presented with a better version of a framework that was wildly popular but was criticised for it complex APIs, messy collection of packages (most of which were deprecated) and loose debugging capabilities.  TensorFlow 2.0 is aimed at gaining back the growing traction that seems to be shifting towards PyTorch…

The post Everything You Need To Know About TensorFlow 2.0 To Write Your First ML Programme appeared first on Analytics India Magazine.

24 Oct

Everything You Need To Know About TensorFlow 2.0 To Write Your First ML Programme

image-7902
image-7902

Recently the machine learning world was presented with a better version of a framework that was wildly popular but was criticised for it complex APIs, messy collection of packages (most of which were deprecated) and loose debugging capabilities.  TensorFlow 2.0 is aimed at gaining back the growing traction that seems to be shifting towards PyTorch…

The post Everything You Need To Know About TensorFlow 2.0 To Write Your First ML Programme appeared first on Analytics India Magazine.

24 Oct

Does AutoML Work For All Data Science Stakeholders: Expectations vs Reality

Data-driven organisations are committed toward automating strenuous tasks of the data scientists in a way that they can focus on finding insight into data and help the company grow its business. Along with data wrangling, data scientists often struggle to train and evaluate different machine learning models for identifying the best model for different datasets.…

The post Does AutoML Work For All Data Science Stakeholders: Expectations vs Reality appeared first on Analytics India Magazine.

24 Oct

Google Proposes Fréchet Distance To Assess AI-Generated Audio & Video Quality

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image-7895

From generating deep fake faces to fake videos, Artificial Neural Network has touched new heights as well as opened up various directions in the domain of emerging technologies. While modelling a deep ANN, it is important to use the right metrics with the right dataset to build up a robust model.  Generative adversarial networks (GANs)…

The post Google Proposes Fréchet Distance To Assess AI-Generated Audio & Video Quality appeared first on Analytics India Magazine.

23 Oct

Will Another Committee Bring Clarity To India’s AI Strategy?

India is travelling toward a path where both the private and open divisions are unified in their duty to advance and upscale artificial intelligence. In the past, we have seen that the Ministry of Electronics and Information Technology (MeitY), and the NITI Aayog have separately framed national strategy reports on AI. Different calls taken by…

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23 Oct

Rubrik Opens New Bengaluru R&D Center To Solve Cloud Data Management Challenges

Rubrik, the Multi-Cloud Data Control Company this week announced the opening of a new and expanded Bangalore R&D centre, to accommodate Rubrik’s rapidly growing global engineering team. To commemorate the new centre, Rubrik CEO Bipul Sinha and Board Advisor John Chambers attended the opening ceremony on October 22. “With the new R&D centre, Rubrik is…

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23 Oct

How To Crack Data Science Interview At Microsoft

While preparing for a data science job interview at Microsoft, candidates need to prepare about topics ranging from analytical thinking to problem-solving. In this article, we list down some of the top data science questions to ace your interview as well as some important tips to prepare for D-day. In a blog post by Microsoft,…

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23 Oct

IIT Hyderabad Researchers Develop Low Power Chips For AI Devices

Researchers from the Indian Institute of Technology, Hyderabad, have developed low power chips that can be used in artificial intelligence-powered devices. These researchers have developed Magnetic quantum-dot cellular automata (MQCA) based nanomagnetic logic architectural design methodology of approximate arithmetic circuits. The Researchers are working towards a vision of realizing resource-constrained Magnetic Chips for Ultra low…

The post IIT Hyderabad Researchers Develop Low Power Chips For AI Devices appeared first on Analytics India Magazine.

23 Oct

IIT Hyderabad Researchers Develop Low Power Chips For AI Devices

Researchers from the Indian Institute of Technology, Hyderabad, have developed low power chips that can be used in artificial intelligence-powered devices. These researchers have developed Magnetic quantum-dot cellular automata (MQCA) based nanomagnetic logic architectural design methodology of approximate arithmetic circuits. The Researchers are working towards a vision of realizing resource-constrained Magnetic Chips for Ultra low…

The post IIT Hyderabad Researchers Develop Low Power Chips For AI Devices appeared first on Analytics India Magazine.