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A Comprehensive Guide to Convolutional Neural Networks

KDnuggets

Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision. Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines.

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5 Free Courses to Master Generative AI

KDnuggets

Generative AI is an exciting and fast-moving area of research and application. Check out these 5 courses to get up to speed and stay ahead of the curve.

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11 Outstanding Papers Presented at NeurIPS 2023

Analytics Vidhya

Introduction The Neural Information Processing Systems (NeurIPS) 2023 conference, a premier event in the AI and machine learning field, set new benchmarks in research and collaboration. This year’s conference attracted a record-breaking 13,321 submissions.

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Guide to Academic Data Analysis With Julius AI

Analytics Vidhya

Introduction In the area of academic research, the journey from raw data to insightful conclusions can be daunting if you’re a beginner or novice. However, with the right approach and tools, transforming data into meaningful knowledge is an immensely rewarding experience.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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Machine Learning Safety: Unsolved Problems

KDnuggets

As an important and active area of research, roadmaps are being developed to help guide continued ML research and use toward meaningful and robust applications. There remain critical challenges in machine learning that, if left resolved, could lead to unintended consequences and unsafe use of AI in the future.

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Transfer Learning in Computer Vision 

insideBIGDATA

The article also provides an overview of the popular pre-trained models and datasets used for transfer learning and discusses the future directions and opportunities for research in this area.

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2021 State of Analytics: Why Users Demand Better

Hanover Research recently conducted a survey that investigates the role of analytics from the perspective of knowledge workers, people who handle or use information as part of their jobs. The expectation to do more with their data becomes a moving target for them and the applications that serve them. But what do users really want?