Any data scientist knows that Big Data success is all about features, features, features. Feature engineering rules!
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Industry Perspectives
Machine Learning Career Path: Exploring Opportunities in 2022 and Beyond
In this special guest feature, George Tsagas, Owner of eMathZone, discusses how machine learning professionals can work as data scientists, computer engineers, robotics engineers, or managers. But if you want to make a career, the first step in finding opportunities in the field of machine learning is to understand the different types of jobs and skills needed.
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The State of AI and Machine Learning
In the 7th edition of its annual State of AI report, Appen continues to explore the strategies employed by companies large and small in successfully deploying AI. The reports surveys business leaders and technical practitioners ( referred to as technologists) alike to understand their priorities, their successes, and their bottlenecks when it comes to implementing AI. Collectively, their answers enabled the company to paint a picture of how the AI industry continues to evolve in a world that is more virtual, more tech-savvy, and more globalized than ever.
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