Data Analytics – Page 2

Most Candidates Fail These SQL Concepts in Data Interviews

Data AnalyticsSeptember 8, 202523Views 0Likes 0Comments

Image by author | Canva An interviewer's job is to find the most suitable candidates for the advertised position. In doing so, they will gladly set up SQL interview questions to see if they can catch you off guard. There are several SQL concepts at which candidates often fail. Hopefully, you’ll be one of…

Creating Slick Data Dashboards with Python, Taipy & Google Sheets

Data AnalyticsSeptember 3, 202524Views 0Likes 0Comments

Image by Author | Ideogram # Introduction Data has become a vital resource for any business, as it provides a means for companies to gain valuable insights, particularly when making decisions. Without data, decisions rely solely on instinct and luck, which is not the most effective approach. However, vast amounts of raw data…

5 Simple Steps to Mastering Docker for Data Science

Data AnalyticsAugust 29, 202525Views 0Likes 0Comments

Image by Author Data science projects are notorious for their complex dependencies, version conflicts, and "it works on my machine" problems. One day your model runs perfectly on your local setup, and the next day a colleague can't reproduce your results because they have different Python versions, missing libraries, or incompatible system configurations. This…

Predictive Analytics in Healthcare: Improving Patient Outcomes

Data AnalyticsAugust 24, 202531Views 0Likes 0Comments

Image by Author When I first started learning about how data science and machine learning could be used outside of finance and marketing, healthcare immediately stood out to me. Not just because it’s a massive industry, but because it literally deals with life and death. That’s when I stumbled into something that kept…

Writing Your First GPU Kernel in Python with Numba and CUDA

Data AnalyticsAugust 19, 202538Views 0Likes 0Comments

Image by Author | Ideogram GPUs are great for tasks where you need to do the same operation across different pieces of data. This is known as the Single Instruction, Multiple Data (SIMD) approach. Unlike CPUs, which only have a few powerful cores, GPUs have thousands of smaller ones that can run these repetitive…

Diffusion Models Demystified: Understanding the Tech Behind DALL-E and Midjourney

Data AnalyticsAugust 14, 202535Views 0Likes 0Comments

Image by Author | Ideogram Generative AI models have emerged as a rising star in recent years, particularly with the introduction of large language model (LLM) products like ChatGPT. Using natural language that humans can understand, these models can process input and provide a suitable output. As a result of products like ChatGPT, other…

AI-Powered Feature Engineering with n8n: Scaling Data Science Intelligence

Data AnalyticsAugust 9, 202538Views 0Likes 0Comments

Image by Author | ChatGPT # Introduction Feature engineering gets called the 'art' of data science for good reason — experienced data scientists develop this intuition for spotting meaningful features, but that knowledge is tough to share across teams. You'll often see junior data scientists spending hours brainstorming potential features, while senior folks end…

Debugging and Tracing LLMs Like a Pro

Data AnalyticsAugust 4, 202542Views 0Likes 0Comments

Image by Author | Canva # Introduction Traditional debugging with print() or logging works, but it’s slow and clunky with LLMs. Phoenix provides a timeline view of every step, prompt, and response inspection, error detection with retries, visibility into latency and costs, and a complete visual understanding of your app. Phoenix by Arize…

A Deep Dive into Image Embeddings and Vector Search with BigQuery on Google Cloud

Data AnalyticsJuly 30, 202565Views 0Likes 0Comments

Image by Editor | ChatGPT # Introduction We've all been there: scrolling endlessly through online stores, trying to find that perfect item. In today's lightning-fast e-commerce world, we expect instant results, and that's exactly where AI is stepping in to shake things up. At the heart of this revolution is image embedding. It's…

Why Python Pros Avoid Loops: A Gentle Guide to Vectorized Thinking

Data AnalyticsJuly 25, 202529Views 0Likes 0Comments

Image by Author | Canva # Introduction When you’re new to Python, you usually use “for” loops whenever you have to process a collection of data. Need to square a list of numbers? Loop through them. Need to filter or sum them? Loop again. This is more intuitive for us as humans because…