Weekly newsletter that discusses impactful ML research papers, cool tech releases, the money in AI, and real-life implementations.The Sequence Scope is a summary of the most important published research papers, released technology and startup news in the AI ecosystem in the last week. This compendium is part of TheSequence newsletter. Data scientists, scholars, and developers … [Read more...] about The Sequence Scope: Is There a Buddle in the Feature Store Market?
Introduction to Time Series Analysis and key concepts
Stationarity, Random walk, White noise, TS models and evaluation of modelsIn this article, we am going to examine what is time series analysis, its scope in the future and key concepts of time series analysis.Photo by Panwar Abhash AnilIntroduction: What is time series analysis and its importance?What is stationary in time series and its types?White Noise & Random WalkACF … [Read more...] about Introduction to Time Series Analysis and key concepts
Artificial Intelligence And Learning
Since Artificial Intelligence (AI) algorithms have become popularized, especially by their employment in some of entertainment and social media’s most popular products or since they can rather successfully drive cars, they have come under public scrutiny like never before. People from all sorts of fields are, no doubted under the influence of celebrity scientists talking about … [Read more...] about Artificial Intelligence And Learning
DATA SCIENCE: A Ranking Model for Citizen Engagement in Smart-City
Machine Learning are numerical predictions and don’t have so much to show except the confusion matrixes. The best way to evaluate our models’ performance is to look and different accuracy scores.Classification Accuracy is what we usually mean, when we use the term accuracy. Probably the most straightforward and intuitive metric for classifier performance. It is the ratio of … [Read more...] about DATA SCIENCE: A Ranking Model for Citizen Engagement in Smart-City
AI & ML in education: Real-life use cases
by Sagar PapnejaDuring an 8:00 am Economics lecture in my MBA course, one of my friends sat half asleep in the first row. The professor asked him a question, and even without having any clue about the answer, he just blurted “Profit Maximization”. “Correct”, said the professor, and moved on!After all, that one term seemed to be the default correct answer for every question in … [Read more...] about AI & ML in education: Real-life use cases