Both data science and machine learning in general have been around for decades now, and it’s steadily increasing in popularity. With a lot of publicly available ML-based tools like ChatGPT, many companies are easily generating marketing copy, and coders are speeding up their coding. With the ever-growing popularity of analytics and ML in general, we’re seeing many uses crop up in so many fields. Some companies are using third-party tools to generate their own models on their own data, like we saw with Salesforce’s ML tool in Chapter 16 , but plenty are also diving into creating their own data science solutions and ML tools from scratch.

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This Ain’t Our First Rodeo: ML Applications

  • Kelly P. Vincent

摘要

Both data science and machine learning in general have been around for decades now, and it’s steadily increasing in popularity. With a lot of publicly available ML-based tools like ChatGPT, many companies are easily generating marketing copy, and coders are speeding up their coding. With the ever-growing popularity of analytics and ML in general, we’re seeing many uses crop up in so many fields. Some companies are using third-party tools to generate their own models on their own data, like we saw with Salesforce’s ML tool in Chapter 16 , but plenty are also diving into creating their own data science solutions and ML tools from scratch.