TensorFlow 2 review: Easier, end-to-end machine learning

The importance of machine learning and deep learning is no longer in doubt. After decades of promise, hype, and disappointment, both have led to practical applications. We haven’t gotten to the point where machine learning or deep learning applications are perfect, but many are very good indeed. To read this article in full, please click… Continue reading TensorFlow 2 review: Easier, end-to-end machine learning

Supervised learning explained

Machine learning is a branch of artificial intelligence that includes algorithms for automatically creating models from data. At a high level, there are four kinds of machine learning: supervised learning, unsupervised learning, reinforcement learning, and active machine learning. Since reinforcement learning and active machine learning are relatively new, they are sometimes omitted from lists of… Continue reading Supervised learning explained

What is TensorFlow? The machine learning library explained

Machine learning is a complex discipline. But implementing machine learning models is far less daunting and difficult than it used to be, thanks to machine learning frameworks—such as Google’s TensorFlow—that ease the process of acquiring data, training models, serving predictions, and refining future results. Created by the Google Brain team, TensorFlow is an open source… Continue reading What is TensorFlow? The machine learning library explained