Even though deep learning is a subsection Machine Learning, we created a separate section for this field as it has received tremendous attention recently with various acqui-hires by Google and Facebook. Theano Theano is the most mature of deep learning library. It provides nice da...
F# zeichnet sich durch Data Science- und Machine Learning-Funktionalität aus. Dieser Artikel enthält Links zu einigen wichtigen Ressourcen im Zusammenhang mit dieser Verwendung von F#. Informationen zu anderen Optionen, die für Machine Learning und Data Science verfügbar sind, finden Sie ...
This post aims to list and describe the most useful machine learning tools and libraries that are available for Python. To make this list, we did not require the library to be written in Python; it was sufficient for it to have a Python interface. We also have a small section on Deep ...
Why should you use JVM languagues like Java, Scala, Clojure or Kotlin to build AI and machine-learning solutions?Java is the most widely used programming language in the world. Large organizations in the public and private sector have enormous Java code bases, and rely heavily on the JVM ...
Interactive Tools for Machine Learning, Deep Learning and Math - Machine-Learning-Tokyo/Interactive_Tools
the next section. In addition to the processing engines, this layer includes a number of different tools that can be used for machine learning and data analysis. ML libraries and frameworks will be discussed in the “Machine learning toolkits” and “Evaluation of machine learning tools” ...
Machine learning technologies have become mainstream tools, building on the compute capabilities of cloud services and the API-based service development model. We examine what the leading players have to offer.
This article aims to explain what machine learning is, providing a comprehensive guide for beginners and enthusiasts alike. We will explore the definition of machine learning, its types, applications, and the tools used in the field. We will also examin the various career paths in machine ...
This tool facilitates the integration of advanced machine learning into mobile applications. Firebase comes with a variety of pre-built APIs for common machine learning tasks, as well as the ability to deploy custom models. This tool makes it easy to add AI capabilities to your web app without...
Andrii Babii, for instance, prefers using matplotlib with seaborn and ggplot2.Denis Yarats (Facebook AI Research) says he chooses matplotlib mostly because it’s integrated well into the Python toolset and can be used with the NumPy library or PyTorch machine learning framework.Alexander Kondufor...