Sentiment analysis of customer reviews – Build a machine learning model that can analyze large volumes of customer reviews and determine if the sentiment of each review is positive, negative…
Machine learning models require massive amounts of high-quality data to learn complex patterns and generalize to new examples. Collecting and curating large labeled datasets is a significant challenge, especially for…
There are several key ethical concerns surrounding the development and application of machine learning technologies that deserve thoughtful consideration and strategies to help minimize potential harms. While machine learning has…
Kaggle: Kaggle is one of the most popular sites for finding open datasets. It contains datasets across a wide range of domains that are well suited for machine learning problems.…
Machine learning has become an integral part of our daily lives, but its rapid development and deployment also creates new technical, social and ethical challenges. While machine learning systems have…
Define goals and scope: The first step is to define clearly what assets will be monitored, what type of failures or degradation you want to predict, and the specific key…
Machine learning is increasingly being used in cybersecurity as it allows computers to identify complex patterns in large datasets. Some of the major ways machine learning is applied to cybersecurity…
Andrew Stroud 
Alma Torres