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Long Short Term Memory (LSTM): Digging a Bit Deeper

Analytics Vidhya

Introduction on Long Short Term Memory Have you seen “Memento” or there is one Bollywood movie named “Gajni” where the hero doesn’t remember the information which occurred way back? The post Long Short Term Memory (LSTM): Digging a Bit Deeper appeared first on Analytics Vidhya.

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Axioms of Probability Every Data Scientist Should Know!

Analytics Vidhya

ArticleVideo Book Introduction We frequently use the term Probability but don’t realize how powerful this concept is. In simple terms, the probability is the. The post Axioms of Probability Every Data Scientist Should Know! appeared first on Analytics Vidhya.

Analytics 296
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The Next Generation of AI

O'Reilly on Data

And it’s an area where NLP may have a real significant advantage because it doesn’t actually understand language, any more than humans understand DNA. The ability to create artificial human genomes is important in the short term because the human genome data available to researchers is limited by privacy laws.

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Risk Management for AI Chatbots

O'Reilly on Data

That doesn’t sound so bad, right? With a SQL injection attack, you can “escape” certain characters so that the database doesn’t give them special treatment. The right prompt can get the chatbot to reveal information you didn’t even know was in there. What Can You Do? As will your legal team.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Time to digitize all landlines, once and for all (of us)

CIO Business Intelligence

There has been a public challenge to the fact that AT&T is retiring its copper landlines in the state of California. This issue, however, is much bigger than the state of California and AT&T. A new digital era is beginning that will provide a more cost-effective, resilient, and reliable long-term alternative.

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Machine Learning and the Production Gap

O'Reilly on Data

The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. The development process doesn’t end with a model. That’s the real gap.