Josua is a business development analyst who turns into a self-taught Machine Learning Engineer. His interests include statistical learning, predictive modeling, and causal inference. He loves running and it teaches him against giving up doing anything, even when implementing the Machine Learning Lifecycle(MLOps).

Apart from pursuing his passion for Machine Learning, he is keen on investing in the Indonesian Stock Exchange and Cryptocurrency. He has been running a full marathon in Jakarta Marathon in 2015 and Osaka Marathon in 2019. His next dreams are to run a marathon in Boston Marathon, TCS New York City Marathon and Virgin Money London Marathon.

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Papers I am currently interested in arXiv

  • “Why Should I Trust You?” Explaining the Predictions of Any Classifier
  • Evaluation Gaps in Machine Learning Practice
  • 50 Years of Data Science
  • Cyclical Learning Rates for Training Neural Networks
  • Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle
  • On Artificial Intelligence - A European approach to excellence and trust
  • EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
  • The Unreasonable Effectiveness of Data
  • Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)
  • Microsoft COCO: Common Objects in Context
  • is all you need: On the influence of random seeds in deep learning architectures for computer vision
  • Advancing mathematics by guiding human intuition with AI
  • Machine Learning Operations (MLOps): Overview, Definition, and Architecture
  • To Explain or to Predict?

Contact Me

josuadotnaiborhu94atgmaildotcom

© Josua Antonius Naiborhu, 2020-2022.These posts are meant to be used for educational purposes. Excerpts and links from this site may be used, provided that full and clear credit is given to Josua Naiborhu with appropriate and specific direction to the original content.