Melissa DunkeldElevating Decisions, Driving Growth: Why B2B Product Teams Need Data Scientists.B2B companies are increasingly waking up to realise the growing role data plays in building products and strategies. It is no longer a…Jun 27Jun 27
Melissa DunkeldThe Power of Explainable AI — Building Trust and Transparency with LIME and SHAPThe importance of Explainable AI in establishing trust and transparency in AI and ML models. How to Implement LIME and SHAPJun 11Jun 11
Melissa DunkeldTracking Changes in Your Machine Learning Pipeline with Model Drift Detection and Fine-TuningYour role as a data scientist or machine learning engineer is crucial within machine learning or AI. Your expertise monitors model…May 29May 29
Melissa DunkeldHarnessing the Power of MLflow to Implement Online Learning for Real-Time Model UpdatingThe ability to update models in real-time as new data emerges is essential. See how MLflow can help you do that.May 29May 29
Melissa DunkeldWhat is a Data Scientist? Unveiling the Role Behind the DataWhat is a data scientist? An overview of what the role is and how its essentialMay 24May 24
Melissa DunkeldEnhancing Data Quality Using Machine LearningUsing Machine Learning for Data QualityMay 23May 23
Melissa DunkeldBuilding a Casino Games Recommendation Engine Using DatabricksOverview of how to build a casino games recommendation engine using Databricks.May 19May 19
Melissa DunkeldThe Power of Recommendation Engines in iGamingBusinesses across various industries are leveraging recommendation engines to offer personalised suggestions to their users. The iGaming…May 19May 19
Melissa DunkeldFeature Stores the Backbone of Modern Machine LearningIn the realm of machine learning (ML) and artificial intelligence (AI), data is the king. But not just any data — quality data that’s…May 17May 17
