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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

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Apiumhub as Partner of the Data Innovation Summit 2023 

Apiumhub

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

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Data Innovation Summit with Gema Parreño – lead data scientist at Apiumhub

Apiumhub

The programme is refreshed with great new speakers and case studies from some of the most innovative companies around the world. Data Innovation Summit topics. The programme consists of seven stages including the Data Octagon programme, Data After Dark show, TIP session blocks, networking activities, and much more.

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How to Screen and Interview Fintech Data Engineer

Mobilunity

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

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Top Data science books you should definitely read

Apiumhub

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.

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New live online training courses

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

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