Plotly and Python: Creating Interactive Heatmaps for Petrophysical & Geological Data
Visualising Geospatial Variations in Well Log Measurements Within the Subsurface- 27656Murphy2025-03-23
A guide to handling categorical variables in Python
A guide on how to approach categorical variables for machine learning and data science purposes- 28073Murphy2025-03-23
Beware of Unreliable Data in Model Evaluation: A LLM Prompt Selection case study with Flan-T5
You may choose suboptimal prompts for your LLM (or make other suboptimal choices via model evaluation) unless you clean your test data- 20242Murphy2025-03-23
Detecting Cancer Growth Using AI and Computer Vision
Introduction Breast cancer is one of the deadliest forms of cancer in women. As per the World Health Organization (WHO), in 2020 alone, around 2.3 million new cases of invasive breast cancer were diagnosed worldwide that resulted in 685,000 deaths. Even t- 27770Murphy2025-03-23
Avoiding Burnout During a Career Change into Data Science
No, you don't need to know 27 coding languages and have 512 portfolio projects- 22494Murphy2025-03-23
Multiple-Group Analysis in Structural Equation Modeling
Testing Effects across Subpopulations- 29645Murphy2025-03-23
5 Easy and Effective Ways to Use Python Logging
Use Python Logging like a Pro- 25362Murphy2025-03-23
My Journey to PhD Admission in Artificial Intelligence
Personal recollections on navigating the unknown- 28188Murphy2025-03-23
The Soft Skills You Need to Succeed as a Data Scientist
Top 5 Soft Skills That Can Advance Your Career as a Data Scientist- 27589Murphy2025-03-23
Data Modeling Techniques For Data Warehouse
Data modeling is a process of creating a conceptual representation of the data and its relationships within an organization or system...- 29362Murphy2025-03-23
The 3 Essential Technical Skills Every Data Leader Needs to Be Successful
Empowering Data Leaders with the Key Technical Skills to Drive Business Insights- 24498Murphy2025-03-23
Matplotlib Tips to Instantly Improve Your Data Visualizations - According to "Storytelling wit
Recreating lessons learned from Cole Nussbaumer Knaflic's book in Python using Matplotlib- 22201Murphy2025-03-23
6 Use Cases in Python Where * and ** Come in Handy
Explained with examples- 27764Murphy2025-03-23
Want to Improve your Short-term Forecasting? Try Demand Sensing
When traditional forecasting approaches plateau in accuracy, how can we drive further forecasting improvements?- 24727Murphy2025-03-23
AI-Driven Insights: Leveraging LangChain and Pinecone with GPT-4
Empowering Next-Gen Product Managers- 20529Murphy2025-03-23
How to Predict Player Churn, with Some Help From ChatGPT
Analyzing data and training models for player churn prediction, using a low-code platform- 28949Murphy2025-03-23
Fine-tune MPT-7B on Amazon SageMaker
Learn how to prepare a dataset and create a training job to fine-tune MPT-7B on Amazon SageMaker- 29750Murphy2025-03-23
Word2Vec, GloVe, and FastText, Explained
How computers understand words- 26350Murphy2025-03-23
Develop and test RLS Rules in Power BI
Very often, not all Users should have permission to access all data in a Report. Here I will explain how to develop RLS Rules in Power BI- 23276Murphy2025-03-23
Introducing Python's Parse: The Ultimate Alternative to Regular Expressions
Use best practices and real-world examples to demonstrate the powerful parse library- 26619Murphy2025-03-23
The current state of continual learning in AI
Why is ChatGPT only trained up until 2021?
Optimizing Pandas Code: The Impact of Operation Sequence
Learn how to rearrange your code to achieve significant speed improvements.