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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. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Deep Learning.

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New live online training courses

O'Reilly Media - Ideas

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Text Analysis for Business Analytics with Python , August 12.

Course 66
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Text Analysis for Business Analytics with Python , August 12.

Course 50
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How to Screen and Interview Fintech Data Engineer

Mobilunity

Core Skills and Technical Expertise A data engineer Fintech should possess a strong foundation in both technical skills: Programming Languages: Proficiency in Python and Java is often essential, as these languages are commonly used by fintech back-end software developers for developing data processing and analytics applications.

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Back-to-School Toolkit for K-12 Tech Leaders

PowerSchool

Over time, many schools have accumulated a small fortune worth of different tools and technology systems designed to help with their jobs. This infographic illustrates the time and expense it costs school districts when technology tools and systems are disparate, or even loosely coupled. Read Hopkinton’s full case study.

eBook 40
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Lean Software Development: The Backstory

LeanEssays

Charter a team of responsible experts led by an entrepreneurial system designer. See case study, below.) When consumer empathy, data analytics and very rapid feedback are combined, there is one more point of friction that can easily reduce flow efficiency. Team Structures and Responsibilities.