The Machine Learning Workflow

by Alyssa Meritt | May 14, 2022 | AI and Machine Learning

The key components of any machine learning workflow are data collection, model training, and testing, and model error analysis. To ensure that your ML project is successful, it is important to pay attention to these steps carefully. The major bottleneck tends to...

What is Human in the Loop (HITL)?

by Alyssa Meritt | May 13, 2022 | AI and Machine Learning

Machine learning (ML) suggests that machines can learn and perform relevant actions without assistance from humans. However, to learn, machines must have data supplied by humans. Essentially, ML uses a set of data to predict an outcome. The most common association...

Three Training Data Challenges Hurting AI

by Alyssa Meritt | Mar 16, 2022 | Training Data

The AI-driven world we’ve been promised for years has arrived. Data-driven businesses are all turning to Artificial Intelligence to improve output. In fact, 45% of them say they’ve already integrated AI as part of their operations. So humans are ready for...

The Intricacy of Assessing Data Quality

by Alyssa Meritt | Mar 1, 2022 | AI and Machine Learning

Every AI professional agrees that the quality of training and testing data is of the utmost importance in machine learning. The better the quality of data, the better the performance of the machine learning algorithms. However, there is no common understanding of what...

What is Natural Language Processing (NLP)?

by Alyssa Meritt | Feb 23, 2022 | Natural Language Processing

The use of machine learning models in NLP enables computers to better understand human language. Natural language processing services help make this possible by annotating sequence fragments,  meaning/intent, or name entities so that algorithms can learn and...