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To my JVM friends looking to explore Machine Learning techniques - you donât necessarily have to learn Python to do that. There are libraries you can use from the comfort of your JVM environment. 
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https://github.com/eclipse/deeplearning4j">https://github.com/eclipse/d... : Deep Learning framework in Java that supports the whole cycle: from data loading and preprocessing to building and tuning a variety deep learning networks.
https://github.com/linkedin/dagli ">https://github.com/linkedin/... Framework for defining machine learning models, including feature generation and transformations, as directed acyclic graphs (DAGs).
https://github.com/oracle/tribuo ">https://github.com/oracle/tr... a machine learning library in Java that provides multi-class classification, regression, clustering, anomaly detection and multi-label classification.
https://github.com/tensorflow/java ">https://github.com/tensorflo... : TensorFlow Java API (experimental)
https://spark.apache.org/mllib/ :">https://spark.apache.org/mllib/&qu... ML algorithms, feature preprocessing and pipelines. Scalable through distributed computations.
https://opennlp.apache.org"> https://opennlp.apache.org : The toolkit for common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, coreference resolution, language detection and more!
https://github.com/apache/mahout :">https://github.com/apache/ma... distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms.
https://github.com/haifengl/smile ">https://github.com/haifengl/... : Statistical Machine Intelligence and Learning Engine: classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, nearest neighbor search..
https://github.com/breandan/kotlingrad">https://github.com/breandan/... Kotlinâ is a type-safe automatic differentiation framework in Kotlin. It allows users to express differentiable programs with higher-dimensional data structures and operators.
(Not yet released) automatic differentiation system for the Kotlin language: https://ai.facebook.com/blog/paving-the-way-for-software-20-with-kotlin/">https://ai.facebook.com/blog/pavi...
https://github.com/awslabs/djl ">https://github.com/awslabs/d... open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers.
