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Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Blockchain and decentralization". Data Platforms".

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Nillion raises over $20 million to build new web3 infrastructure

TechCrunch

Nillion, a web3 startup aiming to build a non-blockchain decentralized network, closed an oversubscribed round of more than $20 million, the company exclusively told TechCrunch. While blockchains decentralize finance, Nillion aims to decentralize everything else and the rest of data.”.

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Blockchain in Education: Use Cases, Challenges, and Examples

Openxcell

The education sector is undergoing rapid changes due to the internet and digital learning. One of the newest introductions to the field is blockchain technology. Cryptocurrencies like Ethereum and Bitcoin have often been associated with blockchain technology. Why blockchain in education?

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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. In light of recent headlines ( Facebook and Cambridge Analytica ), the general public is much more aware of data collection, storage, and sharing.

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Top 10 Highest Paying IT Jobs in India

The Crazy Programmer

hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. A cloud architect has a profound understanding of storage, servers, analytics, and many more. You are also under TensorFlow and other technologies for machine learning. Blockchain Engineer.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.