Topics: AI | Data Science | Data Visualization | Deep Learning | Machine Learning | NLP | Python | R | Statistics

About Derrick Mwiti

Derrick Mwiti is a data scientist who has a great passion for sharing knowledge. He is an avid contributor to the data science community via blogs such as Heartbeat, Towards Data Science, Datacamp, Neptune AI, KDnuggets just to mention a few. His content has been viewed over a million times on the internet. Derrick is also an author and online instructor. He also trains and works with various institutions to implement data science solutions as well as to upskill their staff. Derrick’s studied Mathematics and Computer Science from the Multimedia University, he also is an alumnus of the Meltwater Entrepreneurial School of Technology. If the world of Data Science, Machine Learning, and Deep Learning interest you, you might want to check his Complete Data Science & Machine Learning Bootcamp in Python course.

Derrick Mwiti Posts (33)

  • A 2019 Guide for Automatic Speech Recognition - 24 Sep 2019
    In this article, we’ll look at a couple of papers aimed at solving the problem of automated speech recognition with machine and deep learning.
  • A 2019 Guide to Speech Synthesis with Deep Learning - 09 Sep 2019
    In this article, we’ll look at research and model architectures that have been written and developed to do just that using deep learning.
  • A 2019 Guide to Human Pose Estimation - 28 Aug 2019
    Human pose estimation refers to the process of inferring poses in an image. Essentially, it entails predicting the positions of a person’s joints in an image or video. This problem is also sometimes referred to as the localization of human joints.
  • A 2019 Guide to Semantic Segmentation - 12 Aug 2019
    Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We’ll now look at a number of research papers on covering state-of-the-art approaches to building semantic segmentation models.
  • A 2019 Guide to Object Detection - 01 Aug 2019
    Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we’ll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well.
  • Object Detection with Luminoth - 13 Mar 2019
    In this article you will learn about Luminoth, an open source computer vision library which sits atop Sonnet and TensorFlow and provides object detection for images and video.
  • Using Caret in R to Classify Term Deposit Subscriptions for a Bank - 04 Feb 2019
    This article uses direct marketing campaign data from a Portuguese banking institution to predict if a customer will subscribe for a term deposit. We’ll be working with R’s Caret package to achieve this.
  • Automated Machine Learning in Python - 18 Jan 2019
    An organization can also reduce the cost of hiring many experts by applying AutoML in their data pipeline. AutoML also reduces the amount of time it would take to develop and test a machine learning model.
  • 2018 Year-in-Review: Machine Learning Open Source Projects & Frameworks - 17 Dec 2018
    This post is a look at the top open source projects and major developments in machine learning frameworks over the past 12 months.
  • Sales Forecasting Using Facebook’s Prophet - 28 Nov 2018
    In this tutorial we’ll use Prophet, a package developed by Facebook to show how one can achieve this.

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