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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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Time To Look At These Trending App Ideas Before Planning the Development

Xicom

Today, it is the Reality integrated into many industry verticals including Education, Healthcare, Air and Space, Marketing, Travel, Automotive, Real-Estate, Journalism etc. Blockchain. 9 in 10 government firms are reported to plan to invest in Blockchain landscape. Artificial Intelligence. Internet Of Things.

Trends 64
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Emotional marketing and an e-mail titan walk into a bar

TechCrunch

The best feeling in tech journalism is telling a story about a startup before it becomes a household name. Precursor Ventures’ Charles Hudson on ‘the conversation no one has during an upmarket’ Internet is the new Miami. To quote Winnie CEO and co-founder Sara Mauskopf, “Internet is the new Miami.”

Marketing 359
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Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset

Confluent

Prior to Rockset, Shruti led product management for Oracle Cloud, with a focus on AI, IoT, and blockchain. Kai’s main area of expertise lies within the fields of big data analytics, machine learning, integration, microservices, Internet of Things, stream processing, and blockchain.

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Tech News Review 19 July 2016

CTOvision

TechCrunch Microsoft and Boeing team up to streamline aviation through big data and AI TechCrunch Cortana is set to fly the friendly skies thanks to a new partnership between Microsoft and Boeing, bring the Microsoft intelligent assistant closer still to the domain of its namesake. … [Read More.]. Wall Street Journal .

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Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT

Confluent

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Digital services and subscriptions are provided to customers instead of just selling them products. Example: Severstal.

IoT 20
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Microservices, Apache Kafka, and Domain-Driven Design

Confluent

Kai’s main area of expertise lies within the fields of big data analytics, machine learning/deep learning, cloud/hybrid architectures, messaging, integration, microservices, streaming processing, Internet of Things, and blockchain.