R is an open-source software with many advantages which include: R has many functions and packages for statistical analyses ...

Artificial Intelligence and Machine Learning have both been hot button topics for a few years now, but the two terms are ...

With an integrated suite of advanced analytical tools, purpose-built to unlock deeper biological insights from complex cellular data, MorphoScan Cloud is the next step in ThinkCyte's commitment to ...

Key Takeaways Books help explain ML in depth, better than short tutorials.The right book depends on goals—coding, theory, or ...

ABSTRACT: With the rapid development of science and technology ... As a crucial tool for data analysis and prediction, machine learning has been extensively applied in emergency management. Through ...

One of the emerging concerns in education in recent times has been AI, particularly when it comes to assignment work and plagiarism. Spotting it is becoming increasingly difficult, according to many ...

In supervised, unsupervised, and reinforcement learning domains, quantum processors show potential to accelerate AI model ...

IntroductionThe UK water industry faces significant challenges in ensuring the accuracy and quality of the vast amounts of ...

Artificial intelligence is transforming grocery shopping through personalized recommendations, automated stores, and optimized supply chains, offering unprecedented convenience and efficiency. However ...

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...