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The audio-based model has grown rapidly in recent years, and businesses increasingly incorporate modern text-to-speech features into their operations.
Be sure to check out the previous articles in this series: β’
Data is the lifeblood of data science and the backbone of the AI revolution. Without it, there are no models, and sophisticated algorithms are worthless because there is no data to bring their usefulness to life.
By combining AI agents, you can build an application that not only answers questions and searches the internet but also performs computations and visualizes data effectively.
For many people studying data science,
A simple guide that tells you what you need to know about MicroPython and why you should use it as a Data Scientist
Debugging machine learning models entails inspecting, discovering, and fixing possible errors in the internal mechanisms of these models.
Out of many data visualization tools, which five should you use? Three Python libraries, JavaScript, and R library should cover most of your data science needs.
Want to build powerful machine learning models in minutes, not weeks? AutoGluon makes it ridiculously easy β no PhD required!
The transformers library is a Python library that provides a unified interface for working with different transformer models.
Do you want to create custom extensions for VS Code? Follow this guide to build, test, and publish your own extension in no time!
Data cleaning can be quite tedious and boring. But it doesn't have to be. Here's how you can automate most of the data cleaning steps with Python.
Unlock the power of modern AI code editors with features like intelligent autocomplete, agentic chat, inline edits, terminal suggestions, and more.
Large language models (LLMs) are a big step forward in artificial intelligence.
Exploring the Hadoop ecosystem β key tools to maximize your clusterβs potential The post Mastering Hadoop, Part 3: Hadoop Ecosystem: Get the most out of your cluster appeared first on Towards Data Science.
What we can learn from Anthropicβs analysis of millions of Claude.ai chats The post The Impact of GenAI and Its Implications for Data Scientists appeared first on Towards Data Science.
How prompt evaluation with a systematic approach composed of algorithmic testing with input/output data fixtures can make prompt engineering for complex AI tasks more reliable. The post Mastering Prompt Engineering with Functional Testing: A Systematic Guide to Reliable LLM Outputs appeared first on Towards Data Science.
Raspberry Pi programmable IO pitfalls illustrated with a musical example The post Nine Pico PIO Wats with Rust (Part 2) appeared first on Towards Data Science.
From startups to enterprise, companies are lowering costs and regaining control over their operations The post Forget About Cloud Computing. On-Premises Is All the Rage Again appeared first on Towards Data Science.
Game theory 101: Dynamic games The post One Turn After Another appeared first on Towards Data Science.
The large language model (LLM) has become a cornerstone of many AI applications.
Learn how to protect your Docker containers from vulnerabilities and security threats by following these best practices.
A list of machine learning conferences that can give you access to the the newest papers out there.
Skip the noise and focus on what really matters in PINN development The post Essential Review Papers on Physics-Informed Neural Networks: A Curated Guide for Practitioners appeared first on Towards Data Science.
Parquet from scratch: A Python deep dive into a raw parquet file The post Anatomy of a Parquet File appeared first on Towards Data Science.
How mathematics and data analysis can offer a head start to analysing poetry, before even reading the words. The post Fourier Transform Applications in Literary Analysis appeared first on Towards Data Science.
Understanding Hadoopβs core components before installation and scaling The post Mastering Hadoop, Part 2: Getting Hands-On β Setting Up and Scaling Hadoop appeared first on Towards Data Science.
A look at this yearβs crop of LoRA alternatives The post Are You Still Using LoRA to Fine-Tune Your LLM? appeared first on Towards Data Science.
Observations on performance and reliability from conversations with dozens of teams racing to productize enterprise AI The post 2026 Will Be The Year of Data + AI Observability appeared first on Towards Data Science.
The Hundred-Page Language Models Book is the LLM book you shouldn't miss.
These models are free to use, can be fine-tuned, and offer enhanced privacy and security since they can run directly on your machine, and match the performance of proprietary solutions like o3-min and Gemini 2.0.
Introducing Gemini Robotics and Gemini Robotics-ER, AI models designed for robots to understand, act and react to the physical world.
Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.
Most data professionals and top companies, such as Airbnb and Netflix, use Apache Airflow daily. That is why you will learn how to install and use Apache Airflow in this article.
Be sure to check out the previous articles in this series: β’