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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXHow I’d Learn Machine Learning Again, After 6 Years
Some rough guidelinesContinue reading on Towards Data Science »
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Missing Data in Time-Series: Machine Learning Techniques
Part 1: Leverage linear regression and decision trees to impute time-series gaps.Continue reading on Towards Data Science »
Awesome Plotly with Code Series (Part 5): The Order in Bar Charts Matters
And it is not always simply ordering by highest to lowestContinue reading on Towards Data Science »
How to Apply the Central Limit Theorem to Constrained Data
What can we say about the mean of data distributed in an interval [a, b]?Continue reading on Towards Data Science »
How to Use Structured Generation for LLM-as-a-Judge Evaluations
Structured generation is fundamental to building complex, multi-step reasoning agents in LLM evaluations—especially for open sourcemodelsSource: Generated with SDXL1.0Disclosure: I am a maintainer of Opik, one of the open source projects used later in thisarticle.For the past few months, I’ve been working on LLM-based evaluations (“LLM-as-a-Judge” metrics) for language models. The results have so far been extremely...
[Free eBook] Accelerate Health AI: Strategies for Directors and Beyond
Take your machine learning skills to the healthcare sector with KDnuggets' free sponsored eBook "Ship Health AI Products Faster: Strategies to Deploy with Quality and Speed"
How to Set Up Your First Machine Learning Pipeline Using Scikit-Learn
Keep your ML workflow organized! Pipelines are like a checklist you don’t have to keep track of—Scikit-Learn handles it all for you.
7 Essential Python Libraries for MLOps
Popular MLOps Python tools that will make machine learning model deployment a piece of cake.
Nobel Prizes 2024: AI Breakthroughs Win Big
Lessons Learned After the AI Nobel DebateContinue reading on Towards Data Science »
OpenAI Prompt Cache Monitoring
A worked example using Python and the chat completion APIContinue reading on Towards Data Science »
Stop Overcomplicating Data Quality
Three Zero-Cost Solutions That Take Hours, NotMonthsA ‘data quality’ certified pipeline. Source: unsplash.comIn my career, data quality initiatives have usually meant big changes. From governance processes to costly tools to dbt implementation—data quality projects never seem to want to besmall.What’s more, fixing the data quality issues this way often leads to new problems. More complexity, higher costs, slower data...
Synthetic Data in Practice: A Shopify Case Study
Testing new Snowflake functionality with a 30k recordsdatasetImage created with DALL·E, based on author’spromptWorking with data, I keep running into the same problem more and more often. On one hand, we have growing requirements for data privacy and confidentiality; on the other—the need to make quick, data-driven decisions. Add to this the modern business reality: freelancers, consultants, short-term projects.As a...
Predicted Probability, Explained: A Visual Guide with Code Examples for Beginners
MODEL EVALUATION & OPTIMIZATION7 basic classifiers reveal their prediction confidence mathClassification models don’t just tell you what they think the answer is—they also tell you how sure they are about that answer. This certainty is shown as a probability score. A high score means the model is very confident, while a low score means it’s uncertain about its prediction.Every classification model calculates these...
ML Beginners Should Read Papers
Here’s why and howContinue reading on Towards Data Science »
The Case Against Centralized Medallion Architecture
Why tailored, decentralized data quality trumps the medallion architectureContinue reading on Towards Data Science »
Uncertainty Quantification in Time Series Forecasting
A deep dive into EnbPI, a Conformal Prediction approach for time series forecastingContinue reading on Towards Data Science »
How to Evaluate Multilingual LLMs With Global-MMLU
Evaluation of language-specific LLM accuracy on the global Massive Multitask Language Understanding benchmark in PythonContinue reading on Towards Data Science »
Here’s What I Learned About Information Theory Through Wordle
The Science Behind Better GuessesContinue reading on Towards Data Science »
Why Data Scientists Need These Software Engineering Skills
Learn these things to become a more well-rounded data scientistContinue reading on Towards Data Science »
A Beginner’s Journey into Key Mathematical Concepts: Applied Data Analysis Simplified
Understanding key concepts such as Monte Carlo Methods, Bayes’ Theorem or Gradient Descent can be overwhelming for beginners…Continue reading on Towards Data Science »
Visualizing Data Directly from Numpy Arrays
Looking for DIY examples for acquiring a foundation for efficiently visualizing data in Python? Then this tutorial is for you.
LLMs for Coding in 2024: Price, Performance, and the Battle for the Best
Evaluating the current LLM landscape based both benchmarks and real-world insights to help you make informedchoices.Image generated by Flux.1 -SchnellThe landscape of Large Language Models (LLMs) for coding has never been more competitive. With major players like Alibaba, Anthropic, Google, Meta, Mistral, OpenAI, and xAI all offering their own models, developers have more options than everbefore.But how can you choose...
Can LLMs talk SQL, SPARQL, Cypher, and MongoDB Query Language (MQL) equally well?
Are LLMs Better at Generating SQL, SPARQL, Cypher, or MongoDBQueries?Our NeurIPS’24 paper sheds light on this underinvestigated topic with a new and unique public dataset and benchmark.(Image byauthor)Many recent works have been focusing on how to generate SQL from a natural language question using an LLM. However, there is little understanding of how well LLMs can generate other database query languages in a direct...
5 Challenges Facing Data Scientists Today and Their Solutions
Modern challenges in data science need modern data scientist solutions.
No Code, No Problem: How to Use Open Interpreter
Imagine controlling your computer, running code, and fetching data, all by simply typing out natural language commands. Open Interpreter makes it possible!
Accusatory AI: How a Widespread Misuse of AI Technology Is Harming Students
OpinionWhat should be done when an AI accuses a student of misconduct by usingAI?Anti-cheating tools that detect material generated by AI systems are widely being used by educators to detect and punish cheating on both written and coding assignments. However, these AI detection systems don’t appear to work very well and they should not be used to punish students. Even the best system will have some non-zero false...
Unlocking Hidden Potential: Exploring Second-Round Purchasers
Finding customer segments for optimal retargetting using LLM embeddings and MLmodelIntroductionIn this article, we are talking about a method of finding the customer segments within a binary classification dataset which have the maximum potential to tip over into the wanted class. This method can be employed for different use-cases such as selective targetting of customers in the second round of a promotional campaign,...
Optimizing Machine Learning Models for Production: A Step-by-Step Guide
This article provides a comprehensive step-by-step guide designed to help you navigate the challenge of optimizing your machine learning (ML) models for production, by looking at all stages in their development lifecycle, i.
Streamline Your Workflow when Starting a New Research Paper
Python code to create folders and Word documents for research papers in biomedical sciences—all in one go with only two inputsContinue reading on Towards Data Science »
AI, My Holiday Elf: Building a Gift Recommender for the Perfect Christmas
How I used AI and Streamlit to create a festive and fun gift recommendation appContinue reading on Towards Data Science »
Scientists Go Serious About Large Language Models Mirroring Human Thinking
A discussion of the latest research suggesting that LLMs do work like the human brain—with some substantial differencesContinue reading on Towards Data Science »
My #30DayMapChallenge 2024
30 Days, 30 Maps: My November Adventure in Digital CartographyContinue reading on Towards Data Science »
How to Prepare for Your Data Science Behavioural Interview
My top tips to smash your next data science behavioural interviewContinue reading on Towards Data Science »
I’m Doing the Advent of Code 2024 in Python — Day 1
Let’s see how many stars we’ll collect.Continue reading on Towards Data Science »
Modeling DAU with Markov Chain
How to predict DAU using Duolingo’s growth model and control the prediction1. IntroductionDoubtlessly, DAU, WAU, and MAU—daily, weekly, and monthly active users—are critical business metrics. An article “How Duolingo reignited user growth” by Jorge Mazal, former CPO of Duolingo, is #1 in the Growth section of Lenny’s Newsletter blog. In this article, Jorge paid special attention to the methodology Duolingo used to...