This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
This is part 3 of a three-part series on the Economics of Ethics. In Part I of the Economics of Ethic series, we talked about… Read More »Economics of Ethics: Is Ethics Ultimately an Economics Conversation? Part III
As Analytics becoming more and more pervasive – acting as the sounding board for almost every strategic and operational decision – it is imperative that… Read More »Creating Analytics Tool For A Business User
For many people, synthetic data is synonymous with simulations, mock or fake data. The reality is very different. The purpose of this article is to… Read More »Little-known Secrets About Synthetic Data
In order to gauge whether your customers are happy with what you’re doing, customer satisfaction is crucial. It is proven that a high degree of… Read More »Top 5 Key Business Applications of Sentiment Analysis
Data Science is the term used to define the deep knowledge of how the flow of information of large amounts of data takes place in… Read More »7 Best Data Science Courses in 2023
Cloud computing services have grown in popularity significantly over the years. Many sectors are moving to cloud computing services for business operations. Cloud computing enables businesses to store, manage, and process essential data using remote servers hosted on the internet.
Several hundreds of thousands of raw data files are uploaded by users every day to social media sites. Online user data provides access to an enormous amount of information regarding products, services, places, and events, which makes it suitable for sentiment analysis. Valuable information can be extracted by analyzing the sentiment of the data.
Artificial intelligence (AI) and machine learning (ML) have received widespread interest in recent years due to their potential to set new paradigms in healthcare delivery. It is being said that machine learning will transform many aspects of healthcare delivery, and radiology & pathology are among the specialties set to be among the first to take advantage of this technology.
In September, Kaggle released its annual survey for the state of data science and machine learning.
This list is based on LinkedIn. Criteria for selection include the number of followers (above 50k), the relevancy and contributions to the field, relevant education… Read More »Machine Learning Superstars: The Top 30 Influencers To Follow in 2023
