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Where to Learn Deep Learning – Courses, Tutorials, Software

CTOvision

It examines one of the hottest of Machine Learning techniques, Deep Learning, and provides a list of free resources for leanring and using Deep Learning-bg. Deep Learning is a very hot area of Machine Learning Research, with many remarkable recent successes, such as 97.5%

Course 103
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How Countries Are Adapting Their Laws to Accommodate Machine Learning

Altexsoft

The rapid development of artificial intelligence (AI) is forcing the world’s governments to try and keep up with the inherent changes. Here in the US, these developments are what spurred the introduction of the Fundamentally Understanding the Usability and Realistic Evolution (FUTURE) of Artificial Intelligence Act of 2017.

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A Comprehensive Guide: What are the most popular Machine Learning Tools in 2023?

Openxcell

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

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The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. 2019 will be the beginning of the end for stand-alone process mining, with the market likely to entirely disappear by the end of 2020.

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Generative AI in the Enterprise

O'Reilly Media - Ideas

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. It was important for us to learn why companies aren’t using AI, so we asked respondents whose companies aren’t using AI a single obvious question: “Why isn’t your company using AI?” Many AI adopters are still in the early stages.

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Price Forecasting: Applying Machine Learning Approaches to Electricity, Flights, Hotels, Real Estate, and Stock Pricing

Altexsoft

This time we talked with experts from AleaSoft, ENFOR, REALas, and our own data science specialist to answer the question: How to implement price forecasts on markets with high volatility? Descriptive analytics rely on statistical methods that include data collection, analysis, interpretation, and presentation of findings.

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Introduction to Six Strategies for Advancing Customer Knowledge

Cloudera

Buried deep in the data are the context clues that can point us to what our customers want which helps us grow, retain, and service them better. But with an ever-growing amount of data it has never been more complicated to make sense of which data sets and which behaviors should be most important to us. .