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Top 10 AI, Machine Learning Research Articles to know
By Matthew Dearing, KDnuggets on January 30, 2020 in 2020 Predictions, Adversarial, Anomaly Detection, Autoencoder, Convolutional Neural Networks, Graph Theory, NLP, Transformer, TrendsWe’ve seen many predictions for what new advances are expected in the field of AI and machine learning. Here, we review a “data set” based on what researchers were apparently studying at the turn of the decade to take a fresh glimpse into what might come to pass in 2020.
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10 Free Must-read Books on AI
Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and work.
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12 Deep Learning Researchers and Leaders
By Matthew Dearing, KDnuggets on September 23, 2019 in Andrej Karpathy, Andrew Ng, Deep Learning, Demis Hassabis, Fei-Fei Li, Geoff Hinton, Ian Goodfellow, Influencers, Jeremy Howard, Research, Yann LeCunOur list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.
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Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning
Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.
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Why Machine Learning is vulnerable to adversarial attacks and how to fix it
Machine learning can process data imperceptible to humans to produce expected results. These inconceivable patterns are inherent in the data but may make models vulnerable to adversarial attacks. How can developers harness these features to not lose control of AI?
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AI in the Family: how to teach machine learning to your kids
AI is all the rage with today’s programmers, but what about the next generation? Machine learning can be introduced to young ones just now learning about code, and you can help spark their interest.
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