Fill your skill gaps in AI and Data Science

External Tag: machine-learning

The Importance of Reproducibility in Machine Learning

External Tags KDnuggets Originals, machine-learning

From Python to Julia: Feature Engineering and ML

External Tags data-science, feature-engineering, julialang, machine-learning, python

Beyond Accuracy: Embracing Serendipity and Novelty in Recommendations for Long Term User Retention

External Tags data-science, machine-learning, personalization, recommendation-system, thoughts-and-theory

Ludwig — A “Friendlier” Deep Learning Framework

External Tags data-science, deep learning, hands-on-tutorials, machine-learning, programming

The PATH Variable For the Confused Data Scientist: How to Manage It?

External Tags artificial-intelligence, data-science, machine-learning, programming, python

Deep Learning in Recommender Systems: A Primer

External Tags artificial-intelligence, data-science, machine-learning, software-development, technology

How to Build a Responsible AI with TensorFlow?

External Tags ai, AI applications, Applications, artificial-intelligence, ethical AI, Guide, Intermediate, machine learning model deployment, machine-learning, ML Models, Model Deployment, privacy, reliable AI, TensorFlow, tools, Training

Effective Strategies for Managing Missing Values and Detrending Time Series Data

External Tags Data Cleaning, data-science, machine-learning, time-series-analysis, time-series-forecasting

Protecting Your Cryptocurrency Wllets with Machine Learning

External Tags blockchain, cybersecurity and AI, Exclusive, machine-learning

Similarity Search, Part 5: Locality Sensitive Hashing (LSH)

External Tags hands-on-tutorials, hashing, machine-learning, shingles, similarity-search