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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. Temporal data and time-series analytics.

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New live online training courses

O'Reilly Media - Ideas

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Data science and data tools. Debugging Data Science , June 26.

Course 68
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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. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Data science and data tools. Debugging Data Science , June 26.

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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Lean Software Development: The Backstory

LeanEssays

Charter a team of responsible experts led by an entrepreneurial system designer. The ability of companies to understand their consumers through data has changed the way products are developed. See case study, below.) Manage product development using the principles of cadence, flow, and pull.