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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXHow to Bring SQL Server Data into Microsoft Fabric
Options, options…In this article, you’ll learn what the possibilities are for bringing your on-prem SQL Server data to Microsoft FabricContinue reading on Towards Data Science »
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5 Free Resources to Understand Neural Networks
Here are five free resources in diverse formats and difficulty levels to acquaint with deep learning models at no cost.
Information at a Glance: Do Your Charts Suck?
How pre-attentive processing, Gestalt theory, and visual data encoding inform data design decisionsContinue reading on Towards Data Science »
Training Language Models on Google Colab
A guide to iterative fine-tuning and serialisationPhoto by Shio Yang onUnsplashSo, you recently discovered Hugging Face and the host of open source models like BERT, Llama, BART and a whole host of generative language models by Mistral AI, Facebook, Salesforce and other companies. Now you want to experiment with fine tuning some Large Language Models for your side projects. Things start off great, but then you discover...
5 Free APIs for Building AI Applications
The AI field is rapidly evolving, becoming one of the most dynamic areas within machine learning.
Query Optimization for Mere Humans in PostgreSQL
PostgreSQL: Query Optimization for MereHumansUnderstanding a PostgreSQL execution plan with practical examplesPhoto by Greg Rakozy onUnsplashToday, users have high expectations for the programs they use. Users expect programs to have amazing features, to be fast, and to consume a reasonable amount of resources.As developers, we should thrive to give our users the best experience possible. It’s pretty common that the...
Becoming a Data Scientist: What I Would Do If I Had to Start Over
Breaking into data science: The Good, the Bad, and the PythonBugsPhoto by Markus Spiske onUnsplashMartin Luther King Jr. is famous for his speech, “I Have a Dream.” He delivered it at the Lincoln Memorial in Washington, D.C., on August 28, 1963, in front of approximately 250,000 persons. It’s considered one of the most important speeches of the 20th century. It played a crucial role in the civil rights movement for...
Bird’s-Eye View of Linear Algebra: Left, Right Inverse => Injective, Surjective Maps
If matrix multiplication isn’t commutative, then why don’t we have left and right inverses?Continue reading on Towards Data Science »
The Name That Broke ChatGPT: Who is David Mayer?
AI, privacy, human bias, prompting, the future of content, and how to hack a chatbotContinue reading on Towards Data Science »
The Cultural Impact of AI Generated Content: Part 1
What happens when AI generated media becomes ubiquitous in our lives? How does this relate to what we’ve experienced before, and how does it changeus?Photo by Annie Spratt onUnsplashThis is the first part of a two part series I’m writing analyzing how people and communities are affected by the expansion of AI generated content. I’ve already talked at some length about the environmental, economic, and labor issues...
From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens
Unlocking the Power of GPT-Generated PrivateCorporaIntroductionNowadays the world has a lot of good foundation models to start your custom application with (gpt-4o, Sonnet, Gemini, Llama3.2, Gemma, Ministral, etc.). These models know everything about history, geography, and Wikipedia articles but still have weaknesses. Mostly there are two of them: level of details (e.g., the model knows about BMW, what it does, model...
How Do I Keep My Job Safe by Becoming an AI Expert?
Get job security with DataCamp's 50% off Black Friday deal!
Integrating Machine Learning into Existing Software Systems
Check out these key concepts, tools, jargon, and tips for integrating ML models into existing software systems.
The Ten Commandments for (Power BI) Reporting
I have been asked about some basic rules when creating a reporting solution. Here I am writing down ten commandments on this topic.Continue reading on Towards Data Science »
How to Build Prompt Engineering Expertise at Your Company
You decided to employ generative AI at your company and have already conducted initial experiments with it. And now comes the question: do I need a dedicated person (-s) to handle all the upcoming promptwork?While the general interest around prompt engineering has remained steady over the last few years, a lot of companies struggle to make their first step in building prompt engineering competency because of simply not...
Paper Walkthrough: Neural Style Transfer
Turn your photos into paintings with deep learning—Implementing NST from scratch using PyTorchContinue reading on Towards Data Science »
Enter The Void: An Open Source AI Coding IDE
The new open-source initiative to democratize programming AI IDE.
Power Analysis, Demystified
Deriving the Equation for Sample Size from First PrinciplesContinue reading on Towards Data Science »
Machine Learning vs. Traditional Analytics: When to Use Which?
This article focuses on demystifying the difference between traditional data analytics methods vs.
Google Gemini Is Entering the Advent of Code Challenge
An open-source project to explore the capabilities and limitations of LLMs on coding challengesImage by author (created with Flux 1.1Pro)What is thisabout?If 2024 taught us anything in the realm of Generative AI, then it is that coding is one of the most promising applications for large language models(LLMs).In this blog post, I will describe how I am using one of the most advanced LLMs, Gemini Experimental 1121, which...
RAG: Hybrid Search Based on Two Indexes
The proposition I will be talking about in this article is something I already have implemented and I am currently testing in a personal…Continue reading on Towards Data Science »
Context-Aided Forecasting: Enhancing Forecasting with Textual Data
A promising alternative approach to improve forecastingContinue reading on Towards Data Science »
3D Clustering with Graph Theory: The Complete Guide
Python Tutorial for Euclidean Clustering of 3D Point Clouds with Graph Theory. Fundamental concepts and sequential workflow for…Continue reading on Towards Data Science »
Machine Learning Experiments Done Right
A detailed guideline for designing machine learning experiments that produce reliable, reproducible results.Photo by Vedrana Filipović onUnsplashMachine learning (ML) practitioners run experiments to compare the effectiveness of methods for both specific applications and for general types of problems. The validity of experimental results hinges on how practitioners design, run, and analyze their experiments....
Market Basket Analysis: The Complete Guide
How Association Rules and Market Basket Analysis uncover hidden customer behavior patterns.Continue reading on Towards Data Science »
AI Agents in Networking Industry
AI Agents for deploying, configuring and monitoring NetworksAI agents have been all the rage in 2024 and rightfully so. Unlike traditional AI models or interactions with Large Language Models (LLMs) that provide responses based on static training data, AI agents are dynamic entities that can perceive, reason (due to prompting techniques), and act autonomously within their operational domains. Their ability to adapt and...
10 GitHub Repositories to Master Reinforcement Learning
Learn reinforcement learning using free resources, including books, frameworks, courses, tutorials, example code, and projects.
Overcoming Security Challenges in Protecting Shared Generative AI Environments
Ensuring Safe AI on Multi-TenancyContinue reading on Towards Data Science »
How to Implement Cross-Lingual Transfer Learning with mBERT in Hugging Face Transformers
Let's learn how to use mBERT for multilingual tasks.
The Arcane Network
How to use network science and Python to map out the popularshowThe second season of Arcane, a recent blockbuster series on Netflix based on the universe of one of the most popular online video games ever, League of Legends, is set in a fantasy world with heavy steampunk design, closed with astonishing visuals and a record-breaking budget. As a good network and data scientist with a particular interest in turning pop...
10 Python Libraries Every Developer Should Know
In this article, we’ll go over Python libraries for tasks like logging, unit testing, data handling, and more — each with features that can simplify your application development.
Visualizing Regression Models with Seaborn
Using visualization to understand the relationship between two variablesContinue reading on Towards Data Science »
Building a Graph RAG System: A Step-by-Step Approach
Graph RAG, Graph RAG, Graph RAG! This term has become the talk of the town, and you might have come across it as well.
Smaller is smarter
Concerns about the environmental impacts of Large Language Models (LLMs) are growing. Although detailed information about the actual costs of LLMs can be difficult to find, let’s attempt to gather some facts to understand thescale.Generated with ChatGPT-4oSince comprehensive data on ChatGPT-4 is not readily available, we can consider Llama 3.1 405B as an example. This open-source model from Meta is arguably the most “...
Why “Statistical Significance” Is Pointless
Here’s a better framework for data-driven decision-makingContinue reading on Towards Data Science »