Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

• Awesome AI-ML-DL
  • General
  • Java
    • Business / General / Semi-technical
    • Classifier / decision trees
    • Correlated Cross Occurrence
    • Deep learning
    • Genetic Algorithms
    • Java projects / related technologies
    • Natural Language Processing (aka NLP)
    • Neural Networks
      • Convolutional Neural Networks (CNN)
      • Long Short Term Memory (LSTM)
      • Recurrent Neural Network (RNN)
    • Recommendation systems / Collaborative Filtering (CF)
    • Tools & Libraries, Cheatsheets, Resources
    • How-to / Deploy / DevOps / Serverless
    • Misc
  • Julia, Python & R
  • Notebooks
    • Apache Zeppelin notes - look for Apache Zeppelin notes in this section
    • JuPyter notebooks
  • Misc
• Contributing

• Extract business value from DS (Tweet)
• Why Java and the JVM Will Dominate the Future of Machine Learning, AI, and Big Data (Tweet)
• Machine Learning Made More Accessible During Businesses’ Learning Curve (Tweet)
• Why You Need AI for Security (Tweet)
• The Difference between AI, Machine Learning and Deep Learning (Tweet)
• The Brain as Computer: Bad at Math, Good at Everything Else - (Tweet)
• 4 Insights On Artificial Intelligence And The Future Of Work (Tweet)
• AI apps demand DevOps infrastructure automation (Tweet)
• Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics (Tweet)
• You Could Become an AI Master Before You Know It. Here’s How. (Tweet)
• Why Java Will Dominate the Future of Machine Learning, AI, and Big Data (Tweet)
• Using Java for Artificial Intelligence (Tweet)
• Want A Bigger Bang From AI? Embed It Into Your Apps (Tweet)
• A Beginner's Guide to Automated Machine Learning & AI (Tweet)
• Five TED Talks on AI to watch (Tweet)
• An ethics checklist for data scientists
• Data science competitions to save the world
• ThinkGradient - Transcending human intelligence through research and development in AI
• Two years in the life of AI, ML, DL and Java
• Apache Zeppelin: stairway to notes* haven!

• Email Spam Detector java Application with ApacheSpark (Tweet)
• Guide to Artificial Intelligence: Automating Decision-Making (Tweet)

• Multi-domain predictive AI or how to make one thing predict another (Tweet)

• Deep learning with java (Tweet)
• Free AI Training - Java-based deep-learning tools to analyze and train data, then send the resulting changes back to the server (Tweet)
• Understanding Machine Learning Algorithms with DL4J (Tweet)

• Jenetics is an advanced Genetic Algorithm, respectively an Evolutionary Algorithm, library written in java (Tweet)

• Project Panama and fast MachineLearning computation (Tweet)
• GraalVM + Machine Learning (Tweet)
• Deploying Bespoke AI using fnproj - KADlytics by Miminal (Tweet)

• An introduction to natural language processing and a demo using opensource libraries (Tweet)
• Implementing NLP Attention Mechanisms with DeepLearning4J (Tweet)
• How Stanford CoreNLP, a popular Java natural language tool can help you perform Natural Language Processing tasks (Tweet)
• FREE AI talk on Natural Language Processing NLP using Java with deeplearning4j (Tweet)

• Introduction to Neural Network Architectures (Tweet)
• Neural Networks explained by MIT (Tweet)
• Implementing an Artificial Neural Network in Pure Java (No external dependencies) (Tweet)
• How to build a simple neural network with Eclipse Deeplearning4j (Tweet)
• Learning Neural Networks Using java Libraries (Tweet)
• Create an artificial neural network using the Neuroph Java framework (Tweet)
• Neural Networks WTF by Katharine Beaumont
• Convolutional Neural Networks (CNN)
  • A Beginner's Guide to Understanding Convolutional Neural Networks - @DZone (Tweet)
• Long Short Term Memory (LSTM)
  • Steps to construct an LSTM neural network and use it to generate Java code like a programmer (Tweet)
• Recurrent Neural Network (RNN)
  • Three Part Tutorial Series Build an AI Programmer using Recurrent Neural Network (Tweet)

• Tutorial on Collaborative Filtering (CF) in Java – a machine learning technique used by recommendation systems (Tweet)

• Best AI tools and libraries (Tweet)
• Cheat Sheets for AI, Neural Networks, MachineLearning, Deep Learning & Big Data (Tweet)
• Overview of AI Libraries in Java (Tweet)
• Free AI Learning Resources For Beginners (Twitter)
• Check out 50 most popular massive open online courses (Tweet)
• Learn about Marvin AI a set of tools, libraries, an embedded server that exposes microservices (Tweet)

• Learn how to deploy and manage machine learning models (Tweet)
• How to prepare unstructured data for BI and data analytics AI and MachineLearning (Tweet)
• Machine Learning Model Deployment Made Simple: 1 2 (Tweet)
• What are best practices for delivering AI solutions in continuous delivery pipelines? (Tweet)
• Adapt DevOps to cognitive and artificial intelligence systems (Tweet)
• Explore the use of modern Machine Learning and AI techniques in the context of serverless computing (Tweet)
• Disruptive Effects of Cloud Native Machine Learning Systems and Tools (Tweet)

• Introduction to interactive Data Lake Queries (Tweet)
• A Simple Introduction To Data Structures (Tweet)

• Python Toolkit Used for Two Kaggle Top 10% Leaderboard Positions
• Jeff Heaton's Kaggle boosting work

• Apache Zeppelin notes
  • See example in the examples/apache-zeppelin folder
• JuPyter notebooks

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