Author Archives: 365Data Science

We Cant Afford to Sell Out on AI Ethics

Today, we use AI with the expectation that it will make us better than we are — faster, more efficient, more competitive, more accurate. Businesses in nearly every industry apply artificial intelligence tools to achieve goals that we would, only a decade or two ago, derided as moonshot dreams. But even as we incorporate AI into ourContinue reading “We Cant Afford to Sell Out on AI Ethics”

Data LabelingHow Auto-Driving Achieved through Machine Learning?

Data Labeling — How Auto-Driving Achieved through Machine Learning? Supervised Deep Learning Needs Labeled Data at Scale At present, the mainstream algorithm models of auto-driving are mainly supervised deep learning. Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function fromContinue reading “Data LabelingHow Auto-Driving Achieved through Machine Learning?”

Data vault: new weaponry in your data science toolkit

Data Vault is a modern data modelling approach for capturing (historical) data in a structurally auditable and tractable way. While very helpful for data engineers, the Data Vault also enables Data Science in practice. Originally from KDnuggets https://ift.tt/3sFtGES source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-vault-new-weaponry-in-your-data-science-toolkit

Introduction to the White-Box AI: the Concept of Interpretability

ML models interpretability can be seen as “the ability to explain or to present in understandable terms to a human.” Read this article and learn to go beyond the black box of AI, where algorithms make predictions, toward the underlying explanation remains unknown and untraceable. Originally from KDnuggets https://ift.tt/3fH1DkT source https://365datascience.weebly.com/the-best-data-science-blog-2020/introduction-to-the-white-box-ai-the-concept-of-interpretability

Sudoku Rules: Using a Decision Engine to Solve Candidate Pairs

Follow along with the author’s most recent installment in their quest to solve Sudoku puzzles, this time with the help of a decision engine to solve candidate pairs. Originally from KDnuggets https://ift.tt/3cAFEdj source https://365datascience.weebly.com/the-best-data-science-blog-2020/sudoku-rules-using-a-decision-engine-to-solve-candidate-pairs

How data labeling assist AIs application in Education?

How Data Labeling Accelerates AI Application in the Education? Recently, AI technology has been considered as one of the important ways to change the existing education field. The natural language processing（NLP), image recognition, OCR can be used to analyze students’ learning behavior, and customize teaching methods, according to their strengths and weaknesses, reaching one-to-one personalizedContinue reading “How data labeling assist AIs application in Education?”

Machine Learning Tools for Gesture Recognition and Hand Tracking: A Comparison with Google

Machine Learning Tools for Gesture Recognition and Hand Tracking: A Comparison with Google MediaPipe  — @ClayAirInc Hand tracking and gesture recognition technology represent a revolution in the way people interact with technology: virtual interactions with digital and holographic objects, touchless controls with smart displays, and remote interactions with autonomous devices are now possible. These new waysContinue reading “Machine Learning Tools for Gesture Recognition and Hand Tracking: A Comparison with Google”

Design a site like this with WordPress.com
Get started