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None said they ever heard of an employee getting fired or reprimanded for failing an exam. But all said that having a certification can greatly boost chances for a promotion or other advancement. Jon Campbell, CIO at FirstHealth of the Carolinas in Pinehurst, N.C.., said he had been prepping all week in his hotel room for a CCIE test on network security. Although he oversees 17 IT workers at FirstHealth, he said, “I am doing it for me, not them. “The tests are tough, and the ones who pass are really the creme de la creme,” said Campbell, who has taken certification tests from three other major vendors, but found Cisco’s is the toughest by far. He should know. After passing a Cisco certification written exam once, Campbell failed the lab test several weeks later. “I thought that I had it after the written, but then I took the lab.
If you’re advertising accountant services, you should have a degree in that field, though a tax preparer may just have completed a short course. Having a niche (like entertainment accounting) will help you stand out from the pack. In addition, make sure you know whether you’ll need government licenses to offer certain services, and refrain from misrepresenting yourself or working illegally to avoid getting sued for fraud. Although this is an internet-based business, chances are you’ll have to leave home at least sometimes to meet with clients or to network to get more clients. For every company, customer service is a real – and time-consuming – concern. Many businesses support their products through a customer service department. This usually means people who answer phone calls from customers, as well as by email or online chat. To use the latter, a customer clicks a link requesting to chat with a live person, and a customer service representative answers the request and speaks with the customer through a chat window.
Natural Language Processing (NLP) is a field of machine learning where models learn to understand and derive meaning from human languages. NLP transforms unstructured data, like text and speech, into a structured format that can be used in classification tasks, summarization, machine translation, sentiment analysis, and many other applications. Training models to perform these tasks requires large amounts of data. The more capable you want your model to be, the more data it needs. Fortunately, repositories like Hugging Face, Kaggle, GitHub, and Papers with Code offer vast, varied datasets that are readily available for public use. In this post, we’ve compiled 20 of the most popular NLP datasets, categorized into general NLP tasks, sentiment analysis, text-based tasks, and speech recognition. We also explore the key criteria for selecting the ideal dataset for your project. When selecting an NLP dataset for training or fine-tuning your model, consider the specific goals of your project, the quality and size of the dataset, the diversity of the data, and how easily it can be accessed and used.
