The most Feature-Rich ML forecasting methods available: Compliments of RemixAutoML

This is my go-to method. The main difference between the CatBoost, XGBoost, and H2O versions relate to the ML parameters available for tuning. All functions listed in this blog have working examples in the GitHub README, the R help files (which can be opened in your R session) or the package reference manual.

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2020 will change the way we look at robotics

Earlier this month, Hyundai acquired a controlling stake in Boston Dynamics that valued the company at $1.1 billion. What’s most interesting about the news isn’t the acquisition itself (it does, after all, find Boston Dynamics switching hands for the third time in seven years), but rather what the company’s evolution tells us about the state of robotics in 2020.

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Top business and technology trends in 2021

Let’s imagine customer experience in a post-Covid world. We should anticipate that the changes in consumer preferences and business models will outlast the immediate crisis. Once consumers acclimate to new digital or remote models, I expect some of them to change people’s expectations permanently — accelerating shifts already under way before the crisis.

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China’s adaptive robot maker Flexiv raises over $100 million

As businesses around the world look to automate production lines and supply chains, companies making the robots are attracting great investor interest. The latest to get funded is Flexiv, which closed a Series B round north of $100 million from investors including China’s on-demand services giant Meituan.

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How Artificial Intelligence will drive Predictive Analysis to the next level

Scientists pioneer in innovative ways of creating revolutionary healthcare insights through artificial intelligence prediction. Based on a patient’s eye scan, their system can make predictions against the patient’s risk of experiencing a severe cardiac incident. It achieves by training a Machine Learning system with medical data, including the age, blood pressure, and smoking habits of three hundred thousand patients.

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A complete Learning Path to Data Labelling & Annotation (with Guide to 15 major Tools)

With the advancements in deep learning algorithms, computer vision and NLP have greatly evolved and done wonders around the world of AI. Along with this AutoML has also grown. This has led many industries to adopt AI smoothly and make efficient use of it in various use cases.

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