This article evaluates the present global condition of solar and wind energy adoption and
explores their benefits and limitations in meeting energy needs. It examines the historical …

You must understand algorithms to get good at machine learning. The problem is that they
are only ever explained using Math. No longer. In this Ebook, finally cut through the math …

Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

We humans are curious animals. While other animals generally live in balance with their
respective ecosystems, we almost seem to go out of our way to tip that balance in our favor …

Machine learning has evolved into an enabling technology for a wide range of highly
successful applications. The potential for this success to continue and accelerate has placed …

In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to
combat global climate change. We identify two crucial opportunities that AI offers in this …

Current machine learning techniques have achieved great success; however, there are
many deficiencies. First, to train a strong model, a large amount of training examples are …

In previous columns we have discussed several unsupervised learning methods—for
example, clustering and principal component analysis—as well as supervised learning …

In alignment with the rapid development of artificial intelligence in the era of data
management, the application domains for machine learning have expanded to all …

Machine learning (ML) and statistical techniques are key to transforming big data into
actionable knowledge. In spite of the modern primacy of data, the complexity of existing ML …