Model monitoring with Evidently.AI
<p>You might have wondering what is Data monitoring? For what purpose we use it and if it is so important then what are the tools using which we can handle data monitoring.</p>
<p>Data monitoring refers to the process of continuously observing, tracking, and analyzing data in real-time or on a regular basis to ensure its quality, accuracy, consistency, and security. By using Evidently.AI we can monitor the Data pipeline.</p>
<p><strong>THREE IMPORTANT STEPS IN DATA MONITORING</strong></p>
<ol>
<li><strong>Data quality</strong></li>
</ol>
<p>Data quality means making sure that the information we have is accurate, complete, and reliable. It’s like checking that the puzzle pieces fit together nicely and nothing is missing.</p>
<p><strong>2. Data drift</strong></p>
<p>With respect to time data may change. It means the mean, standard deviation, spread of the data may change. so basically the distribution of data may change. This type of change is known as Data drift.</p>
<p><strong>4. Model performance</strong></p>
<p>With respect to this changed data our machine learning model may not give a accurate result for the new data. So It is important to track the machine learning model performance.</p>
<p>With the help of the Evidentally.AI we can monitor all the three steps of any data science project. In this article we will go with each and every steps of a data monitoring of a data science project.</p>
<p><a href="https://medium.com/@abhishekwankhade4670/model-monitoring-with-evidently-ai-d375c33cfe47">Website</a></p>