What do you do if your machine learning initiatives are draining your resources?
Machine learning (ML) is a powerful and innovative technology that can help businesses gain insights, optimize processes, and create value from data. However, ML projects are not easy to execute and often require significant resources, such as time, money, talent, and infrastructure. If you are an executive who wants to leverage ML for your business goals, but you find that your ML initiatives are draining your resources, you may need to rethink your strategy and approach. Here are some tips to help you overcome the common challenges and pitfalls of ML projects and make the most of your investment.
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Sunil SharmaElevating Business Through Innovation and Digital Science
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Sachet UtekarIncoming MSAI Grad @ University of Michigan - Dearborn | Google Certified Data Analytics Professional | 5x LinkedIn Top…
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Sidharth RamachandranData Scientist at Air India | Artificial Intelligence | Machine Learning | Deep Learning | NLP | Computer Vision |…