Contents# Introduction# Visualizing Gradients, Losses, and Embeddings# TensorBoard and Its Alternatives# Using Breakpoints and Hooks for Machine Learning Computations# Conclusion # Introduction  Training a machine learning model and observing the loss decrease is a feeling of progress, until the validation accuracy reaches a plateau or the loss begins to spike, and you’re not sure what caused it. At that point, …

Visual Debugging Tools for Machine Learning Workflows Read More »

Last year, Nano Banana brought Gemini’s intelligence to image generation and editing. Since then, it’s helped millions of people restore old photos, design from sketches and visualize ideas in ways that weren’t possible before. From the start we built Gemini to be natively multimodal from the ground up, and now we’re taking the next step. …

Introducing Gemini Omni Read More »

ContentsIntroduction to AI AgentsWhat are AI Agents?How does an AI Agent work?Building an AI Educational Agent in PythonInstalling PythonConclusion Introduction to AI Agents of the decade. You hear it everywhere on job descriptions, tech companies’ profiles, freelancers’ projects, etc. As overwhelming as it may sound, building an AI Agent is not that difficult. On the …

The Ultimate Beginners’ Guide to Building an AI Agent in Python Read More »

  Contents# Introduction# From Conversation to Agency# The Architectural Reuse# Tool 1: A Sandboxed Filesystem Explorer# Tool 2: A Restricted Python Interpreter# The Orchestration Loop# Testing the Tools# Conclusion # Introduction  In a recent article on Machine Learning Mastery, we built a tool-calling agent that reached outward, that is pulling weather, news, currency rates, and time from public APIs. That article covered the synthesis …

Easy Agentic Tool Calling with Gemma 4 Read More »

The Asia-Pacific region is a global engine for economic growth, but it’s also highly vulnerable to climate change. While green technologies are gaining momentum, a recent report shows they aren’t scaling fast enough to keep up with the region’s rising environmental risks. To help innovators tackle these environmental challenges, we’re launching an inaugural Google DeepMind …

We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks. Read More »

themes from a call corpus to the customer table. Customers without transcripts get NULL. NULL gets filled with zero, or with “no issue mentioned,” or quietly omitted as a reference category. In one line of preprocessing, the pipeline converts did not call support into did not experience billing frustration. The regression that follows looks clean. …

LLM Themes Are Not Observations Read More »

  Contents# Introduction# Step-by-Step Procedure# Wrapping Up # Introduction  Production data is typically subject to notable privacy and compliance constraints. For this reason, anonymizing such data becomes critical in virtually every real-world data science project involving the launch of a data-driven product, service, or solution. Mimesis is an open-source Python library that stands out for its ability to generate …

Anonymizing Production Data for Data Science with Mimesis Read More »

ContentsStreet View: ground your worlds in real placesProject Genie: now available with Google AI Ultra Street View: ground your worlds in real places When creating imaginative worlds in Project Genie, you can now also base them on real places. Just tap the Maps pin to choose a place in the U.S. and optionally select a …

Simulate real-world places with Project Genie and Street View Read More »

teach you how to make a model accurate. They rarely teach you the decisions that come right after. How do you know when to fully automate something versus keeping a human in the loop? When does prompting stop being enough and fine-tuning become worth the cost? What does it actually mean to pick real-time inference …

Six Choices Every AI Engineer Has to Make (and Nobody Teaches) Read More »

  Contents# Introduction# 1. List Comprehensions and Generator Expressions# 2. Decorators# 3. Context Managers (with Statements)# 4. Mastering *args and **kwargs# 5. Dunder Methods (Magic Methods)# Wrapping Up # Introduction  Why do you use Python? For a lot of people it comes down to “just because,” but it really shouldn’t. Python is a powerful, general-purpose programming language with a simple syntax highlighted by …

5 Must-Know Python Concepts – KDnuggets Read More »