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Although Python and R are more prevalent for machine learning, Java can serve this purpose effectively, especially if you’re already proficient in it. In addition to Brains.js, Keras.js, and TensorFlow.js, we’ve compiled a selection of some important Java frameworks for machine learning, data science, data visualization, natural language processing, and other related areas.
Let’s explore a few of them.
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Moreover, it boasts an array of layout algorithms for crafting intricate visualizations such as hierarchical layouts and network graphs. Predominantly utilized in journalism and academic pursuits, D3 is a versatile tool for transforming data into compelling visuals, encompassing various chart types like box plots, histograms, treemaps, chard graphs, scatter plots, line charts, bar charts, pie charts, and more. It further enhances visual appeal with animation features like animated treemaps, zoomable bar charts, icicles, and bar chart races, offering a comprehensive suite for data analysis and storytelling.
Designed for natural language processing for both Node.js and browser environments, Compromise.js offers a robust toolkit for parsing, understanding, and manipulating English text, akin to NLP.js. An additional feature is its plugin system, facilitating the expansion of functionality through custom modules. With Compromise, users can effortlessly extract various text elements such as nouns, verbs, adjectives, dates, times, and addresses.
Moreover, it supports text operations such as pluralization, capitalization, contractions, and expansions. It also encompasses sentiment analysis, named entity recognition, part-of-speech tagging, and verb conjugation. Notably, Compromise excels in efficiency, capable of handling nearly all English vocabulary using just 14,000 words, compressed into a compact 40kb file size. This exceptional compression enables swift text comprehension and scanning with minimal latency, measured in milliseconds.
Additionally, it extends support to Node.js and is open source on GitHub under the MIT license, welcoming contributions for new features and improvements. In summary, ConvNetJS serves as a potent resource for training deep learning models effortlessly within web browsers.