Data makes the engine run in many organisations. But what if the number of observations is too low or there is only expert knowledge? I will demonstrate how to generate synthetic data with applications in predictive maintenance.

Towards Data Science

27.05.2025

Code Agents: The Future of Agentic AI | Towards Data Science

HuggingFace smolagents framework in action

Towards Data Science

27.05.2025

5 Statistical Concepts You Need to Know Before Your Next Data Science Interview | Towards Data Science

These common, basic statistics and machine learning concepts are crucial for landing a data scientist role

Towards Data Science

27.05.2025

How to Reduce Your Power BI Model Size by 90% | Towards Data Science

Have you ever wondered what makes Power BI so fast and powerful when it comes to performance? Learn on a real-life example about data model optimization and general rules for reducing data model

Towards Data Science

27.05.2025

Understanding Matrices | Part 1: Matrix-Vector Multiplication | Towards Data Science

The physical meaning of multiplying a matrix by a vector, and how it works on several special matrices.

Towards Data Science

27.05.2025

The Best AI Books & Courses for Getting a Job | Towards Data Science

A comprehensive guide to the books and courses that helped me learn AI

Towards Data Science

27.05.2025

Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO | Towards Data Science

A beginner-friendly guide to PPO and GRPO: simplifying policy optimization in reinforcement learning

Towards Data Science

24.05.2025

Prototyping Gradient Descent in Machine Learning | Towards Data Science

Mathematical theorem and credit transaction prediction using Stochastic / Batch GD

Towards Data Science

24.05.2025

Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype | Towards Data Science

Improve static analysis and run-time validation with full generic specification

Towards Data Science

24.05.2025

Estimating Product-Level Price Elasticities Using Hierarchical Bayesian | Towards Data Science

Using one model to personalize ML results

Towards Data Science

24.05.2025

How to Evaluate LLMs and Algorithms — The Right Way | Towards Data Science

Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. Subscribe today! All the hard work it takes to integrate large language models and powerful algorithms into your workflows can go to waste if the outputs you see don’t live up to expectations. […]

Towards Data Science

24.05.2025

New to LLMs? Start Here | Towards Data Science

A guide to Agents, LLMs, RAG, Fine-tuning, LangChain with practical examples to start building

Towards Data Science

23.05.2025

Multiple Linear Regression Analysis | Towards Data Science

Implementation of multiple linear regression on real data: Assumption checks, model evaluation, and interpretation of results using Python.

Towards Data Science

23.05.2025

Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents | Towards Data Science

Introduction AlphaEvolve [1] is a promising new coding agent by Google’s DeepMind. Let’s look at what it is and why it is generating hype. Much of the Google paper is on the claim that AlphaEvolve is facilitating novel research through its ability to improve code until it solves a problem in a really good way. […]

Towards Data Science

23.05.2025

What Statistics Can Tell Us About NBA Coaches | Towards Data Science

Using Python to determine where NBA coaches come from and what makes them successful

Towards Data Science

23.05.2025

About Calculating Date Ranges in DAX | Towards Data Science

When performing date calculations, creating date ranges can be helpful. But how can we do this, and which DAX function can help us in which case? Now you can learn more about this topic.

Towards Data Science

23.05.2025

Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed | Towards Data Science

Coding concepts that distinguish an amateur from a professional data scientist

home›Towards Data Science›Software

Towards Data Science - Software

LLM Optimization: LoRA and QLoRA | Towards Data Science

Agentic RAG Applications: Company Knowledge Slack Agents | Towards Data Science

Hands-On Attention Mechanism for Time Series Classification, with Python | Towards Data Science

Gaining Strategic Clarity in AI | Towards Data Science

The Secret Power of Data Science in Customer Support | Towards Data Science

Simulating Flood Inundation with Python and Elevation Data: A Beginner’s Guide | Towards Data Science

May Must-Reads: Math for Machine Learning Engineers, LLMs, Agent Protocols, and More | Towards Data Science

How to Build an MCQ App | Towards Data Science

The Hidden Security Risks of LLMs | Towards Data Science

GAIA: The LLM Agent Benchmark Everyone’s Talking About | Towards Data Science

The Simplest Possible AI Web App | Towards Data Science

A Bird’s Eye View of Linear Algebra: The Basics | Towards Data Science

I Transitioned from Data Science to AI Engineering: Here’s Everything You Need to Know | Towards Data Science

A Practical Introduction to Google Analytics | Towards Data Science

JAX: Is This Google’s NumPy killer? | Towards Data Science

Tree of Thought Prompting: Teaching LLMs to Think Slowly | Towards Data Science

Detecting Malicious URLs Using LSTM and Google’s BERT Models | Towards Data Science

Multi-Agent Communication with the A2A Python SDK | Towards Data Science

From Data to Stories: Code Agents for KPI Narratives | Towards Data Science

Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python | Towards Data Science

Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives | Towards Data Science

Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models | Towards Data Science

How Microsoft Power BI Elevated My Data Analysis and Visualization Workflow | Towards Data Science

How to Generate Synthetic Data: A Comprehensive Guide Using Bayesian Sampling and Univariate Distributions | Towards Data Science

Code Agents: The Future of Agentic AI | Towards Data Science

5 Statistical Concepts You Need to Know Before Your Next Data Science Interview | Towards Data Science

How to Reduce Your Power BI Model Size by 90% | Towards Data Science

Understanding Matrices | Part 1: Matrix-Vector Multiplication | Towards Data Science

The Best AI Books & Courses for Getting a Job | Towards Data Science

Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO | Towards Data Science

Prototyping Gradient Descent in Machine Learning | Towards Data Science

Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype | Towards Data Science

Estimating Product-Level Price Elasticities Using Hierarchical Bayesian | Towards Data Science

How to Evaluate LLMs and Algorithms — The Right Way | Towards Data Science

New to LLMs? Start Here | Towards Data Science

Multiple Linear Regression Analysis | Towards Data Science

Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents | Towards Data Science

What Statistics Can Tell Us About NBA Coaches | Towards Data Science

About Calculating Date Ranges in DAX | Towards Data Science

Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed | Towards Data Science

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