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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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10 Steps to Achieve Enterprise Machine Learning Success

Cloudera

We recently published a Cloudera Special Edition of Production Machine Learning For Dummies eBook. Chapter six of the eBook focuses on the 10 steps for making ML operational. Your data scientists will want a platform and tools that give them practical access to data, compute resources, and libraries. Optimize later.

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Machine Learning basics: 10 Platforms to start learning and get awesome at it

UruIT

You can easily access our free eBook here: . MathWork focused on the development of these tools to become experts in high-end financial use and data engineering contexts. It includes accessible tools to automate DevOps for ML, collaborate across various internal teams, and optimize hardware usage.

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10 Platforms for Getting Started with Machine Learning

UruIT

MathWork focused on the development of these tools in order to become experts on high-end financial use and data engineering contexts. Also, its solid presence in data science and machine learning software marketplace has allowed it to build a strong user base and customer relations.