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Explore how Bayesian Optimization outperforms Grid Search in efficiency and performance over binary classification tasks.
The post Bayesian Optimization for Hyperparameter Tuning of Deep Learning Models appeared first on Towards Data Science.
Amazon Bedrock Data Automation helps organizations streamline development and boost efficiency through customizable, multimodal analytics. It eliminates the heavy lifting of unstructured content processing at scale, whether for video or audio. The new capabilities make it faster to extract tailored, generative AI-powered insights like scene summaries, key topics, and customer intents from video and audio. This unlocks the value of unstructured content for use cases such as improving sales productivity and enhancing customer experience.
Explaining useful features every data analyst needs
The post How Microsoft Power BI Elevated My Data Analysis and Visualization Workflow appeared first on Towards Data Science.
Inspired by AlphaGo’s Move 37 — learn how agents explore, exploit, and win
The post Reinforcement Learning Made Simple: Build a Q-Learning Agent in Python appeared first on Towards Data Science.
For professionals like the Lead AI Engineer or Senior AI Engineer, the Mistral Agents API represents a powerful addition to their AI toolkit.
IOI Partners and Build a Rocket Boy dropped a new trailer on MindsEye, a new title coming on June 10 from the co-creator of Grand Theft Auto V.
Why splitting your objectives and your model might be the key to better performance and clearer trade-offs in deep learning.
The post Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives appeared first on Towards Data Science.
Industry analysts explain how Salesforce's $8 billion Informatica acquisition will transform enterprise data management and accelerate agentic AI adoption .
In this post, we share how GuardianGamer uses AWS services including Amazon Nova and Amazon Bedrock to deliver a scalable and efficient supervision platform. The team uses Amazon Nova for intelligent narrative generation to provide parents with meaningful insights into their children’s gaming activities and social interactions, while maintaining a non-intrusive approach to monitoring.
Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.
You don’t need to be a Python pro to write fast, clean code. Just a few smart coding habits can go a long way.
Develop a data system that every business user wants to use.
These ten compact and pythonic shortcuts will boost your time data analysis and processing workflows. See how and why.
This is the second of four parts in this series. Part 1 can be found here. 4. The Architecture of MCP: Clients, Protocol, Servers, and Services How does MCP actually work under the hood? At its core, MCP follows a client–server architecture, with a twist tailored for AI-to-software communication. Let’s break down the roles: MCP […]
The Institute-wide effort aims to bolster industry and create jobs by driving innovation across vital manufacturing sectors.
Nothing’s CEO speaks to WIRED about how he sees the smartphone market playing out in an era of AI, and where he thinks the competition is going wrong.
AI race, robositters, master Veo 3, AI cheating, AI SDR agents, and more...
HuggingFace smolagents framework in action
The post Code Agents: The Future of Agentic AI appeared first on 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
The post How to Reduce Your Power BI Model Size by 90% appeared first on Towards Data Science.
A comprehensive guide to the books and courses that helped me learn AI
The post The Best AI Books & Courses for Getting a Job appeared first on Towards Data Science.
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.
The post How to Generate Synthetic Data: A Comprehensive Guide Using Bayesian Sampling and Univariate Distributions appeared first on Towards Data Science.
The physical meaning of multiplying a matrix by a vector, and how it works on several special matrices.
The post Understanding Matrices | Part 1: Matrix-Vector Multiplication appeared first on Towards Data Science.
We are beginning a cognitive migration: Away from what AI now does well, and toward a redefinition of what humans are now made for.
These common, basic statistics and machine learning concepts are crucial for landing a data scientist role
The post 5 Statistical Concepts You Need to Know Before Your Next Data Science Interview appeared first on Towards Data Science.
A beginner-friendly guide to PPO and GRPO: simplifying policy optimization in reinforcement learning
The post Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO appeared first on Towards Data Science.
Effortlessly run terminal commands, enhance projects with AI, collaborate with your team, and access features quickly, all through a sleek, modern interface designed for efficiency.
Want recruiters and collaborators to find you? Fix your LinkedIn, even if you hate self-promotion.
Want to be a data scientist in 2025? These 10 YouTube channels teach important skills, from Python basics to advanced machine learning.
Rogue AI, AI risks, hands-free shopping, robot senses, and more...
Google doubles down on its ‘world-model’ vision, racing to build an AI operating layer to drive a universal personal assistant with Gemini. Even as Microsoft moves to capture the enterprise UI. Here's what's at stake.