About Derrick Mwiti

Derrick Mwiti is experienced in data science, machine learning, and deep learning with a keen eye for building machine learning communities.

Derrick Mwiti Posts (34)

• Image Classification with Convolutional Neural Networks (CNNs) - 04 May 2022
  
  In this article, we’ll look at what Convolutional Neural Networks are and how they work.
• Binary Classification with Automated Machine Learning - 17 May 2021
  
  Check out how to use the open-source MLJAR auto-ML to build accurate models faster.
• A Comprehensive Guide to Ensemble Learning – Exactly What You Need to Know - 06 May 2021
  
  This article covers ensemble learning methods, and exactly what you need to know in order to understand and implement them.
• Gradient Boosted Decision Trees – A Conceptual Explanation - 30 Apr 2021
  
  Gradient boosted decision trees involves implementing several models and aggregating their results. These boosted models have become popular thanks to their performance in machine learning competitions on Kaggle. In this article, we’ll see what gradient boosted decision trees are all about.
• 10 Real-Life Applications of Reinforcement Learning - 12 Apr 2021
  
  In this article, we’ll look at some of the real-world applications of reinforcement learning.
• The Best Machine Learning Frameworks & Extensions for TensorFlow - 05 Apr 2021
  
  Check out this curated list of useful frameworks and extensions for TensorFlow.
• The Best Machine Learning Frameworks & Extensions for Scikit-learn - 22 Mar 2021
  
  Learn how to use a selection of packages to extend the functionality of Scikit-learn estimators.
• Pruning Machine Learning Models in TensorFlow - 04 Dec 2020
  
  Read this overview to learn how to make your models smaller via pruning.
• Deploying Trained Models to Production with TensorFlow Serving - 30 Nov 2020
  
  TensorFlow provides a way to move a trained model to a production environment for deployment with minimal effort. In this article, we’ll use a pre-trained model, save it, and serve it using TensorFlow Serving.
• Dealing with Imbalanced Data in Machine Learning - 29 Oct 2020
  
  This article presents tools & techniques for handling data when it's imbalanced.