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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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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.

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Guarding the gates: a look at critical infrastructure security in 2023

CIO

Modern advancements like artificial intelligence (AI) machine learning and blockchain-based networks specifically have an impact in this area. Cybercriminals specifically target sectors such as healthcare, energy, and transportation, recognizing the significant consequences at stake.

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The Internet of Things: Development and Examples

Apiumhub

Internet of Things in Various Industries IoT has made a significant impact across industries, such as agriculture (precision farming), healthcare (remote patient monitoring), manufacturing (smart factories), transportation (connected cars), and smart cities (efficient urban management).

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Daily Crunch: Unknown hacker drains millions of dollars from thousands of Solana hot wallets

TechCrunch

Playstudios, a publicly traded mobile gaming platform and developer, is venturing into the web3 world with a new blockchain division and investment fund. The ride-hailing giant sees this as a way to not only get into longer distance travel, but also to capture, or recapture, travelers moving between different forms of transportation.

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Digital Transformation: A Comprehensive Guide for any Business

OTS Solutions

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences. are in line.

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How data teams move from offense to defense in 2023

CIO

For one manufacturer, whose predictive maintenance insight convinced the FAA to extend the time between services, allowing more time in the air, and so shifted from producing helicopters to providing the ability to transport people or product through the air.