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An Introduction to Logarithms in Machine Learning with Python
Logarithms are a cornerstone of mathematics, statistics, and data science, and even show up in all sorts of places in machine learning.
Published on: January 30, 2025 | Source:
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How to Run Parallel Time Series Analysis with Dask
In this article, we show you how to run parallel time series analysis with Dask, through a practical Python-based tutorial.
Published on: January 30, 2025 | Source:Optimizing Memory Usage in PyTorch Models
Even though more than 40% of businesses say they’re pleased with AI, many are unhappy with out-of-the-box solutions, resulting in a need for local AI solutions and their subsequent tweaking with PyTorch.
Published on: January 30, 2025 | Source:Great Books for AI Engineering
10 books with valuable insights about AI science and engineeringGreat books for AI Engineering—Plus ‘Brave New Words’ (Image is Author’s ownwork)A few years ago I recommended 21 books in Great Books for Data Science and Great Books for Data Science 2. Since then a lot has changed. While data scientist and machine learning engineer continue to be necessary functions in large companies, the specific role of AI engineer...
Published on: January 29, 2025 | Source:AI Ethics for the Everyday User — Why Should You Care?
A beginner’s guide to understanding the importance of ethics in artificial intelligenceContinue reading on Towards Data Science »
Published on: January 29, 2025 | Source:NLP Illustrated, Part 3: Word2Vec
An exhaustive and illustrated guide to Word2Vec with code!Continue reading on Towards Data Science »
Published on: January 29, 2025 | Source:The Challenges and Realities of Being a Data Scientist
Some harsh truths behind the field of data scienceContinue reading on Towards Data Science »
Published on: January 29, 2025 | Source:Machine Learning Incidents in AdTech
Source: https://unsplash.com/photos/a-couple-of-signs-that-are-on-a-fence-xXbQIrWH2_AChallenges with deep learning in productionOne of the biggest challenges I encountered in my career as a data scientist was migrating the core algorithms in a mobile AdTech platform from classic machine learning models to deep learning. I worked on a Demand Side Platform (DSP) for user acquisition, where the role of the ML models is to...
Published on: January 29, 2025 | Source:Coding with Qwen 2.5: An Overview
Code smarter, not harder with Qwen 2.5.
Published on: January 29, 2025 | Source:Prompting Vision Language Models
Exploring techniques to promptVLMsVision Language Models (VLMs) represent a significant advancement in processing and understanding multimodal data by combining text and visualinputs.High Level Overview of VLMs. The picture of the cute dog is from Josh Frenette on Unsplash. This image is inspired by the representation of VLMs provided in this blog from HuggingFace (https://huggingface.co/blog/vlms) (Overall Image By...
Published on: January 29, 2025 | Source:From Spell Check to AI
Why using tools is notcheatingCreated by Author usingDall-EI have been working in the field of AI since 1983. While I don’t claim the title of expert (I’ll leave claiming that title to those who write articles about doomsday, and Skynet Terminators coming to steal our jobs), I frequently get asked to speak on the subject of AI. I always start by asking a simple question: “How many of you use AI in your everyday lives?”...
Published on: January 29, 2025 | Source:Data Wrangling in Rust with Polars
Looking for efficient data wrangling in Rust? Polars offers fast, memory-safe tools for tasks like filtering, joining, and aggregating data.
Published on: January 29, 2025 | Source:The SCORES Framework: A Data Scientist’s Guide to Winning Target Variables
The missing manual for defining target variables that matter—bridge the gap between business goals and impactful MLmodelsPhoto by Jeffrey F Lin onUnsplashPerfect accuracy on the wrong target variable is like acing the wrongexam- technically impressive, but missing the point entirely.Target variables or dependent variables are critical for the success of your machine learningmodel.When starting to work on a new model,...
Published on: January 29, 2025 | Source:Exploring DeepSeek’s R1 Training Process
Open-Source Intelligence on Par with Proprietary ModelsContinue reading on Towards Data Science »
Published on: January 29, 2025 | Source:Analyze Tornado Data with Python and GeoPandas
Insights from NOAA’s public domain databaseContinue reading on Towards Data Science »
Published on: January 28, 2025 | Source:Basics of Probability Notations
Union, Intersection, Independence, Disjoint, Complement: Advanced Probability for Data Science Series (1)Continue reading on Towards Data Science »
Published on: January 28, 2025 | Source:How GenAI Tools Have Changed My Work as a Data Scientist
An overview of the 4 use cases and 6 GenAI tools I useContinue reading on Towards Data Science »
Published on: January 28, 2025 | Source:How to do Date calculations in DAX
Moving back and forth in time is a common task for Time Intelligence in DAX. Let’s take a deeper look on how DATEADD() works.Continue reading on Towards Data Science »
Published on: January 28, 2025 | Source:The Role of AI in Shaping the Future of Work
Rather than fearing AI, we should see it as a tool that complements human skills, helping professionals focus on high-value work and enhancing job roles.
Published on: January 28, 2025 | Source:Don’t Manage Your Python Environments, Just Use Docker Containers
Python environment management can sometimes give you that awful feeling in the pit of your stomach. So don't do it: just use Docker containers.
Published on: January 28, 2025 | Source:Who is Right? The Dean or the Students?
A cautionary tale on two perspectives on averagingContinue reading on Towards Data Science »
Published on: January 28, 2025 | Source:Chain-of-Agents Meets Mechanism Design
Aligning Incentives for Multi-Agent LLM Collaboration on Long-Context TasksContinue reading on Towards Data Science »
Published on: January 28, 2025 | Source:How to Evaluate LLMs
Evaluation methodologies, metrics, and best practices for different language tasks, explained.
Published on: January 28, 2025 | Source:Battle of the Ducks
DuckDB vs Fireducks: the ultimate throwdownContinue reading on Towards Data Science »
Published on: January 28, 2025 | Source:The Three Phases of Learning Machine Learning
Part One: The beginner phaseContinue reading on Towards Data Science »
Published on: January 28, 2025 | Source:Nine Pico PIO Wats with MicroPython (Part 2)
Raspberry Pi programmable IO pitfalls illustrated with a musicalexamplePico PIO Surprises, Part 2—Source: https://openai.com/dall-e-2/. All other figures from theauthor.This is Part 2 of an exploration into the unexpected quirks of programming the Raspberry Pi Pico PIO with MicroPython. If you missed Part 1, we uncovered four Wats that challenge assumptions about register count, instruction slots, the behavior of...
Published on: January 28, 2025 | Source:One Machine Learning Model, To-Go Please
How to use ONNX to make any machine learning model portableContinue reading on Towards Data Science »
Published on: January 28, 2025 | Source:Creating Powerful Ensemble Models with PyCaret
Machine learning is changing how we solve problems.
Published on: January 28, 2025 | Source:Building a Regression Model: Delivery Duration Prediction
Building a Regression Model to Predict Delivery Durations: A Practical GuideE2E walkthrough for approaching a regression modelingtaskIn this article, we’re going to walk through the process of building a regression model—from dataset cleaning & preparation, to model training & evaluation. The specific regression task we will model for is predicting the expected delivery time for a food delivery...
Published on: January 27, 2025 | Source:Beyond Causal Language Modeling
A deep dive into “Not All Tokens Are What You Need for Pretraining”IntroductionA few days ago, I had the chance to present at a local reading group that focused on some of the most exciting and insightful papers from NeurIPS 2024. As a presenter, I selected a paper titled “Not All Tokens Are What You Need for Pretraining”. It addresses a super simple but reasonable question: do we really need to apply the next-token...
Published on: January 27, 2025 | Source:How to Implement Guardrails for Your AI Agents with CrewAI
LLM Agents are non-deterministic by nature: implement proper guardrails for your AI Application.Continue reading on Towards Data Science »
Published on: January 27, 2025 | Source:Water Cooler Small Talk, Ep 7: Anscombe’s Quartet and the Datasaurus
Why descriptive statistics aren’t enough and plotting your data is always essentialContinue reading on Towards Data Science »
Published on: January 27, 2025 | Source:Small Training Dataset? You Need SetFit
The enterprise-friendly way to train NLP classifiers with Python in 2025Continue reading on Towards Data Science »
Published on: January 27, 2025 | Source:Conformal Prediction: The Intuition to Understand Model Uncertainty
Intuitive understanding of the most flexible model uncertainty toolsContinue reading on Towards Data Science »
Published on: January 27, 2025 | Source:How to build a Data Dashboard Prototype with Generative AI
How to Build a Data Dashboard Prototype with Generative AIA book reading data visualization withVizro-AIThis article is a tutorial that shows how to build a data dashboard to visualize book reading data taken from goodreads.com. It uses a low-code approach to prototype the dashboard using natural language prompts to an open source tool, which generates Plotly charts that can be added to a template dashboard.Learn how...
Published on: January 27, 2025 | Source: