Posts Tagged ‘Machine learning’
Learning About Meta-Training
Meta-training, which is also called model agnostic machine learning (MAML), is the idea of teaching the model to create a solver of the problem in lieu of teaching the model to learn to solve a problem. MarkTechPost brought this interesting topic to our attention in their article, “New AI Research From Deepmind Explains How Few-Shot…
Read MoreUnderstanding Machine Learning through Taxonomies
Researchers are striving to improve their descriptions of features so decision makers will be more comfortable using the outputs of machine learning models. They have developed a taxonomy to help developers craft features that will be easier for their target audiences to understand. This interesting information came to us from Science Daily in their article,…
Read MoreThe AI Family
Machine learning and data science are two separate concepts that are related to the field of artificial intelligence (AI), but both rely on data. This interesting topic came to us from Unite.AI in their article, “Machine Learning vs Data Science: Key Differences.” In the 21st Century, these two terms are some of the most searched terms…
Read MoreAssumptions around Machine Learning
As enterprises increasingly transition into cloud data management, the risk of cyberattacks has grown. Cyberattacks can harm companies in terms of both financial status and organizational reputation. Analytics Insight brought this interesting information to our attention in their article, “What Are The Challenges Faced By Data Science Professionals?“ Organizations should utilize advanced artificial intelligence (AI)-powered…
Read MoreUnderstanding AI through Taxonomies
Machine learning models are growing in complexity and researchers are improving models that have trouble understanding decisions. This interesting subject came to us from RT Insights in their article, “MIT Researchers Create Explanation Taxonomy to ML Models.” In finance, healthcare, and logistics, businesses are attempting to implement artificial intelligence (AI) in their decision making processes, but…
Read MoreCareers in Emerging Tech
Machine learning solutions can be considered a subdivision of artificial intelligence (AI), with multiple machine learning algorithms combined to create AI. Together they are advancing nearly every industry, and they’re becoming essential technologies for businesses to maintain a competitive edge. DATAVERSITY brought this interesting information to our attention in their article, “Machine Learning Solutions.” Demand…
Read MoreEnsuring Quality of Data
Data quality has never been more important. It is at the heart of the success of enterprise artificial intelligence (AI) and other emerging technologies. It remains the main source of challenges for companies that want to apply machine learning in their applications and operations. Venture Beat brought this interesting information to our attention in their article, “Why data…
Read MoreAI Performance
Global executives are deploying and scaling artificial intelligence (AI) at a rate higher than ever before. In fact, 94% of business leaders agree that AI is critical to success over the next five years. Some organizations, however, are seeing a delay in benefits from AI. Computer Weekly brought this interesting information to us in their…
Read MoreTechnology and Remote Work
Work life and locations have changed and not just because of the pandemic. Well before COVID-19, technology was improving at a faster rate than ever before and impacting how and where we work. Venture Beat brought this topic to our attention in their article, “How AI and decision intelligence are changing the way we work.”…
Read MoreGetting Personal with AI
Artificial intelligence (AI) brings with it the possibility of genuine human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points, and draw conclusions. They can reason, observe, and plan. It’s very common to hear the terms “machine learning” and “AI” thrown around interchangeably, but they are often used in the wrong context.…
Read More