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Tag: step

  • Implicit Q-Learning and SARSA: Liberating Policy Control from Step-Size Calibration

    Implicit Q-Learning and SARSA: Liberating Policy Control from Step-Size Calibration arXiv:2601.18907v1 Announce Type: new Abstract: Q-learning and SARSA are foundational reinforcement learning algorithms whose practical success depends critically on step-size calibration. Step-sizes that are too large can cause numerical instability, while step-sizes that are too small can lead to slow progress. We propose implicit variants…

  • Learning Python by doing projects: What does that even mean?

    Learning Python by doing projects: What does that even mean? I’m learning Python and considering this approach: choose a real dataset, frame a question I want to answer, then work toward it step by step by breaking it into small tasks and researching each step as needed. For those of you who are already comfortable…

  • One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow

    One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow arXiv:2512.05251v1 Announce Type: new Abstract: Sampling from unnormalized target distributions is a fundamental yet challenging task in machine learning and statistics. Existing sampling algorithms typically require many iterative steps to produce high-quality samples, leading to high computational costs. We introduce one-step diffusion samplers which learn a step-conditioned…

  • The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor

    The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor Cursor is great at writing code but not as good when it comes to design The post The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor appeared first on Towards Data Science. Soner Yıldırım Go to…

  • High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes

    High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes arXiv:2511.03952v1 Announce Type: new Abstract: We develop a high-dimensional scaling limit for Stochastic Gradient Descent with Polyak Momentum (SGD-M) and adaptive step-sizes. This provides a framework to rigourously compare online SGD with some of its popular variants. We show that the scaling limits of SGD-M coincide…

  • Implementing the Fourier Transform Numerically in Python: A Step-by-Step Guide

    Implementing the Fourier Transform Numerically in Python: A Step-by-Step Guide What if the FFT functions in NumPy and SciPy don’t actually compute the Fourier transform you think they do? The post Implementing the Fourier Transform Numerically in Python: A Step-by-Step Guide appeared first on Towards Data Science. JUNIOR JUMBONG Go to original source

  • How to Become a Machine Learning Engineer (Step-by-Step)

    How to Become a Machine Learning Engineer (Step-by-Step) Your one-stop guide to becoming a machine learning engineer The post How to Become a Machine Learning Engineer (Step-by-Step) appeared first on Towards Data Science. Egor Howell Go to original source

  • Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation

    Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation arXiv:2509.09802v1 Announce Type: cross Abstract: We propose and study Sparse Polyak, a variant of Polyak’s adaptive step size, designed to solve high-dimensional statistical estimation problems where the problem dimension is allowed to grow much faster than the sample size. In such settings, the standard Polyak…

  • Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide

    Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide Learn how to create AI Agents using the OpenAI Agents SDK to automate Jira ticket creation from a meeting transcript. The post Automating Ticket Creation in Jira With the OpenAI Agents SDK: A Step-by-Step Guide appeared first on Towards Data Science. Juan…

  • Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design

    Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design arXiv:2507.14057v1 Announce Type: new Abstract: We develop a semi-amortized, policy-based, approach to Bayesian experimental design (BED) called Stepwise Deep Adaptive Design (Step-DAD). Like existing, fully amortized, policy-based BED approaches, Step-DAD trains a design policy upfront before the experiment. However, rather than keeping this policy fixed, Step-DAD periodically updates it…

  • Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide

    Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide Rust has become a popular programming language in recent years as it combines security and high performance and can be used in many applications. It combines the positive characteristics of C and C++ with the modern syntax and simplicity of other…

  • Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack

    Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack Have you ever wanted to pause an automated workflow to wait for a human decision? Maybe you need approval before provisioning cloud resources, promoting a machine learning model to production, or charging a customer’s credit card. In many data science and machine learning…

  • Master the 3D Reconstruction Process: A Step-by-Step Guide

    Master the 3D Reconstruction Process: A Step-by-Step Guide The 3d Reconstruction journey from 2D photographs to 3D models follows a structured path.  This path consists of distinct steps that build upon each other to transform flat images into spatial information.  Understanding this pipeline is crucial for anyone looking to create high-quality 3D reconstructions. Let me…

  • Introducing n-Step Temporal-Difference Methods

    Introducing n-Step Temporal-Difference Methods Dissecting “Reinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode V Continue reading on Towards Data Science » Oliver S Go to original source

  • How I’d Learn AI in 2025 (If I Knew Nothing)

    How I’d Learn AI in 2025 (If I Knew Nothing) A 5-step roadmap for today’s landscape Today, more people than ever are trying to learn AI. Although there are countless free learning resources online, navigating this rapidly evolving landscape can be overwhelming (especially as a beginner). In this article, I discuss how I’d approach learning…

  • Step-by-Step Guide for Building Bump Charts in Plotly

    Step-by-Step Guide for Building Bump Charts in Plotly Learn how to create custom bump charts in Python using Plotly for data visualization Continue reading on Towards Data Science » Amanda Iglesias Moreno Go to original source