Business Data Scientist vs Data Engineer, what is the difference? It is important for a small company to differentiate between data scientist and data engineer roles since both roles have separate skill sets and responsibilities throughout an AI project.
Tech Active Learning in Machine Learning: Everything You Need to Know Active Learning is a type of machine learning algorithm that actively interacts with its environment to learn from it. It works by selecting the data points that are most useful for training and labeling them, allowing the model to train on fewer labeled data points.
Business Road to Efficient Invoicing: Tapping into Robotic Process Automation When it comes to the practical implementation of RPA, your company can face many business and technical challenges. That’s why RPA implementation always implies a procuring strategy of automating the processes one by one.
Business Applied AI Business Consulting Landscape and AI Strategy What is the difference between applied research and basic research in AI development? What is the difference between AI strategy and AI execution within a business context? These are questions that many businesses are asking themselves as they begin to invest in artificial intelligence.
Business Does your AI development agency provide MLOps services? Artificial intelligence, or AI, is a term that has been tossed around a lot lately. It seems like every other business is using it in their marketing materials and trying to convince you that they need to use it too. But what is AI, really?
Tech Why you should use Python in Machine Learning projects? Python has emerged as the leading language for machine learning development for several reasons: its ease of use, wide availability of libraries, and strong community support. In this blog post, we will discuss the benefits of using Python in machine learning projects.
Tech Anomaly Detection: What It Is and How to Use It in Machine Learning Anomaly detection is the identification of items, events, or observations that do not conform to an expected pattern or other items in a dataset.
Guides ML Engineer vs. Data Scientist: What’s the Difference? There is a lot of confusion surrounding the role of a machine learning engineer and data scientist. Some people think they are one and the same, while others believe they are in completely different positions. So, what is the difference?
Tech Predictive forecasting models & Machine Learning Anyone running a business wants to predict its future. Though it is not possible exactly to some extent, you can get an estimation because business comes with uncertainty and risks that can not be avoided but can be minimized using Predictive Forecasting.
Tech Discover How Machine Learning Can Improve Your Forecasting Accuracy Forecasting is the process of predicting future events. This can be done through a variety of methods, but machine learning is becoming increasingly popular for forecasting due to its accuracy and ability to account for changes in data.
Tech The Essential Guide to Data Augmentation in Deep Learning What is data augmentation, how does it work, and what are its most prominent use cases? Learn everything you need to know about data augmentation techniques for computer vision and start training your AI models.
Tech Microservices vs Monolithic Architecture: The Future of Software Development Every single service is independently deployable, scalable, and maintainable. Also, in comparison with the monolithic approach microservice architecture offers faster deployment times as developers only need to update an individual component when making changes.
Tech The Benefits & Challenges of Microservices Architecture The question is, why are microservices so helpful to modern enterprises? What benefits do corporations receive from using this architectural style? In this article, we provide an in-depth exploration of seven key benefits of microservices.
