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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXPerform Outlier Detection More Effectively Using Subsets of Features
Identify relevant subspaces: subsets of features that allow you to most effectively perform outlier detection on tabulardataThis article is part of a series related to the challenges, and the techniques that may be used, to best identify outliers in data, including articles related to using PCA, Distance Metric Learning, Shared Nearest Neighbors, Frequent Patterns Outlier Factor, Counts Outlier Detector (a...
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The Difference Between ML Engineers and Data Scientists
Helping you decide whether you want to be a data scientist or machine learning engineerContinue reading on Towards Data Science Β»
Confidence Interval vs. Prediction Interval
A small but important difference that you should knowContinue reading on Towards Data Science Β»
Build your Personal Assistant with Agents and Tools
LLMs alone suffer from not being able to access external or real-time data. Learn how to build your personal assistant using LangChain agents and Gemini by grounding it in externalsources.Summary:The problem withLLMsWhat are Agents, Tools and Chains?Creating a simple chat withoutToolsAdding Tools to our chat: The Google way with FunctionCallingAdding Tools to our chat: The Langchain way withAgentsAdding Memory to our...
Building Sustainable Algorithms: Energy-Efficient Python Programming
6 techniques for reducing the computational cost of Python algorithmsContinue reading on Towards Data Science Β»
Data Science in Marketing: Hands-on Propensity Modelling with Python
All the code you need to predict the likelihood of a customer purchasing your productContinue reading on Towards Data Science Β»
Engineering the Future: Common Threads in Data, Software, and Artificial Intelligence
How recognizing cross-discipline commonalities not only enhances recruitment strategies but also supports adaptable IT architectures.Continue reading on Towards Data Science Β»
Documenting Python Projects with MkDocs
Use Markdown to quickly create a beautiful documentation page for your projectsContinue reading on Towards Data Science Β»
Productionising GenAI Agents: Evaluating Tool Selection with Automated Testing
How to create reliable and scalable GenAI Agents for real-world applicationsContinue reading on Towards Data Science Β»
Donβt Be Afraid to Use Machine Learning for Simple Tasks
A common misconception across industriesContinue reading on Towards Data Science Β»
How Spotify Implemented Personalized Audiobook Recommendations
Personalized audiobook recommendations using graph neural networksContinue reading on Towards Data Science Β»
Dynamic, Lazy Dependency Injection in Python
Automatic Python dependency injection to make your code more testable, decoupled, uncomplicated and readableContinue reading on Towards Data Science Β»
LLM RoutingβββIntuitively and Exhaustively Explained
Dynamically Choosing the Right LLMContinue reading on Towards Data Science Β»
Another Hike Up Everest
How to make progress on hard problems inAIMount Everest, known locally as Sagarmatha or Chomolangma (Wikipedia)New technology is born, matured, and eventually replaced. AI is no different and will follow this curve. Many news articles are already proclaiming that Generative AI (Gen AI) has arrived at the Trough of Disillusionment: the point in adoption where the early adopters are realizing the promises of the new...
Demystifying Ensemble Methods: Boosting, Bagging, and Stacking Explained
Unity makes strength.
Exploring Ethics and Morality Through Machine Intelligence
This article examines the challenges of aligning machine behavior with human values, and the role of ethical frameworks in shaping responsible AI.
Are You Sure You Want to Become a Data Science Manager?
Donβt rush into the fancy title until you have read this.Continue reading on Towards Data Science Β»
Data Visualization Techniques for Healthcare Data AnalysisβββPart III
Mastering data visualization: from effective bar charts to common pitfalls like 3D visualizations.Continue reading on Towards Data Science Β»
Stop Applying for Jobs!
Unlock your career potential through networking instead.
AI for BI: Building a Business Information Report with CrewAI and OpenAI
How to create a simple BI report directly from CSV dataContinue reading on Towards Data Science Β»
ChatGPT: Two Years Later
Tracing the impact of the generative AI revolutionTracing the impact of the generative AI revolution (Photo by vackground.com on Unsplash).Happy birthday, Mr.ChatbotThis November 30 marks the second anniversary of ChatGPTβs launch, an event that sent shockwaves through technology, society, and the economy. The space opened by this milestone has not always made it easyβor perhaps even possibleβto separate reality from...
LangChainβs Parent Document RetrieverβββRevisited
LangChainβs Parent Document RetrieverβRevisitedEnhance retrieval with context using your vector databaseonlyTL;DRβWe achieve the same functionality as LangChainsβ Parent Document Retriever (link) by utilizing metadata queries. You can explore the codehere.Introduction toRAGRetrieval-augmented generation (RAG) is currently one of the hottest topics in the world of LLM and AI applications.In short, RAG is a technique for...
Graph Neural Networks: Fraud Detection and Protein Function Prediction
Understanding AI applications in bio for machine learning engineersPhoto by Conny Schneider onUnsplashWhat do a network of financial transactions and a protein structure have in common? Theyβre both poorly modeled in Euclidean (x, y) space and require encoding complex, large, and heterogeneous graphs to trulygrok.Left: image in Euclidean Space. Right: graph in non-Euclidean space. From Graph neural networks: A review...
Leverage Python Inheritance in ML projects
Learn how to implement coding best practices to avoid tech debtsContinue reading on Towards Data Science Β»
Cluster While Predict: Iterative Methods for Regression and Classification
Predictive and prescriptive analytics to bridge the gap between segmentation and prediction for real-world applicationsPhoto by NASA Hubble Space Telescope onUnsplashIntroduction:In many real-world machine learning tasks, the population being studied is often diverse and heterogeneous. This variability presents unique challenges, particularly in regression and classification tasks where a single, generalized model may...
Building a Vision Inspection CNN for an Industrial Application
A step-by-step approach usingPyTorchIn this article, we develop and code a Convolutional Neural Network (CNN) for a vision inspection classification task in the automotive electronics industry. Along the way, we study the concept and math of convolutional layers in depth, and we examine what CNNs actually see and which parts of the image lead them to their decisions.Table ofContentPart 1: Conceptual backgroundPart 2:...
Discover Whatβs Ahead: Gartner Data & Analytics Summit 2025
Explore the Agenda for Gartner Data & Analytics Summit 2025, March 3 β 5 in Orlando, FL and plan your summit experience today.
Explaining LLMs for RAG and Summarization
A fast and low-resource method using similarity-based attributionInformation flow between an input document and its summary as computed by the proposed explainability method. (image created byauthor)TL;DRExplaining LLMs is very slow and resource-intensive.This article proposes a task-specific explanation technique or RAG Q&A and Summarization.The approach is model agnostic and is similarity-based.The approach is...
Getting Started with Multimodal AI, One-Hot Encoding, and Other Beginner-Friendly Guides
Getting Started with Multimodal AI, CPUs and GPUs, One-Hot Encoding, and Other Beginner-Friendly GuidesFeeling inspired to write your first TDS post? Weβre always open to contributions from newauthors.Taking the first step towards mastering a new topic is always a bit dauntingβsometimes itβs even very daunting! It doesnβt matter if youβre learning about algorithms for the first time, dipping your toes into the exciting...
5 Essential Resources for Learning R
Learn R from top institutions like Harvard, Stanford, and Codecademy.
Integrating Language Models into Existing Software Systems
Improving existing software systems, making them more robust and capable of solving complex contemporary problems.
AlphaQubit tackles one of quantum computingβs biggest challenges
Our new AI system accurately identifies errors inside quantum computers, helping to make this new technology more reliable.
How to Implement Named Entity Recognition with Hugging Face Transformers
Let's take a look at how we can perform NER using that Swiss army knife of NLP and LLM libraries, Hugging Face's Transformers.
7 Advanced SQL Techniques for Data Manipulation in Data Science
Can SQL be used for advanced data manipulation in data science? It sure can with these seven techniques.
A Practical Guide to Building Recommender Systems
Recommender systems enhance user experiences in Internet-based applications by recommending items tailored to individual preferences or needs, such as products, services, or content.