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10 most in-demand generative AI skills

CIO

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. PyTorch is known in the deep learning and AI community as being a flexible, fast, and easy-to-use framework for building deep neural networks.

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How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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CoRise’s approach to up-skilling involves fewer courses and more access

TechCrunch

The startup, built by Stiglitz, Sourabh Bajaj , and Jacob Samuelson , pairs students who want to learn and improve on highly technical skills, such as devops or data science, with experts. Instead, the startup wants to offer one applied machine learning course that teaches 1,000 or 5,000 students at a time. “The

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Technology Trends for 2024

O'Reilly Media - Ideas

That may or may not be advisable for career development, but it’s a reality that businesses built on training and learning have to acknowledge. Boot camps and other crash programs often train students in “React,” with little attention on the bigger picture. Where are these languages going?

Trends 116
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Top Data Science experts you should know about

Apiumhub

As the director of Advertisement, he works to help data-driven businesses be more successful. He also writes compelling articles about Big Data and related topics for publications such as Data Science Central, DataFloq and Dataconomy. Marcus Borba is a Big Data, analytics, and data science consultant and advisor.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Analytics maturity model.

Analytics 102
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2021 Data/AI Salary Survey

O'Reilly Media - Ideas

Most respondents participated in training of some form. Learning new skills and improving old ones were the most common reasons for training, though hireability and job security were also factors. Company-provided training opportunities were most strongly associated with pay increases. Demographics. Salaries by Gender.

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