Step by Step Basics: Text Classifier
An Instructional Guide and Flow Diagram for Building a Supervised Machine Learning Text Classifier in Python- 27833Murphy ≡ DeepGuide
Migrating data? Make the most of the Product itself!
Use the product features to make the data migration process easier- 22187Murphy ≡ DeepGuide
Don't Be Afraid to Go Beyond Online Coding Courses
Interactive coding courses are great, but (by design) they'll only get you so far. Here's how to maximise their potential while overcoming...- 24649Murphy ≡ DeepGuide
Imperfections Unveiled: The Intriguing Reality Behind Our MLOps Course Creation
Bonus Lesson: Behind the Scenes of an 'Imperfect' ML Project - Lessons and Insights- 21231Murphy ≡ DeepGuide
The Path to Success in Data Science Is About Your Ability to Learn. But What to Learn?
Many great developments in data science have been made in the last decade but despite these achievements, many projects never see the light of day. As data scientists we must not only show strong technical skills but also understand the business context,- 20256Murphy ≡ DeepGuide
How I built a programming language: The (difficult) Path to Success
Frankly, difficult is an understatement.- 24028Murphy ≡ DeepGuide
Courage to learn ML: Demystifying L1 & L2 Regularization (part 1)
Comprehend the underlying purpose of L1 and L2 regularization- 23401Murphy ≡ DeepGuide
How I Make Time for Everything (Even with a Full-Time Job)
How I am able to do YouTube videos, write blogs, and send out a newsletter every week whilst working full time as a data scientist- 22200Murphy ≡ DeepGuide
Why Retraining Can Be Harder Than Training
A neural network perspective on learning, unlearning and relearning- 25218Murphy ≡ DeepGuide
Should you learn how to code in the next decade?
Or will AI eat up all the software in the world?- 22039Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag