DataStema

Train ML models faster with Google Cloud TPUs using TensorFlow, Keras, and custom loops—step-by-step from setup to performance tuning.

Boost TensorFlow Training Speed by 50% with These TPU Tricks

Speed up your TensorFlow training by optimizing input pipelines with tf.data. Learn how prefetching, caching, and vectorization make a difference.

You’re Wasting GPU Power—Fix Your TensorFlow Input Pipeline Today

Identify and fix slow tf.data pipelines using TensorFlow Profiler. Analyze, prefetch, and optimize your input pipeline with step-by-step guidance.

How to Speed Up Your TensorFlow tf.data Pipeline

Learn how to use Ragged Tensors in TensorFlow to handle variable-length data in machine learning workflows with real-world code examples.

For Data of All Shapes and Sizes, Ragged Tensors Offer a Home

How to integrate ALLURE Reports to test projects made on the CITRUS Framework.

Let's Connect Allure Reports to a Test Project Made on Citrus Framework

Learn how to fine tune a RoBERTa topic classification model in python with the hugging face transformers and libraries. 

Fine-Tuning RoBERTa for Topic Classification

A guide to using the open-source tool FiftyOne to download the Kinetics dataset and evaluate video understanding models

Kinetics Dataset - Training and Evaluating Models for Video Classification 

How to fine-tune a Hugging Face Transformer model for Sequence Classification

How to Fine Tune a 🤗 (Hugging Face) Transformer Model

Yes, building AI is hard! Every step from data annotation, training and deployment comes with its own set of challenges. This blog post will try to deal with the first two of those:

Multi-GPU training with Brain Builder and TensorFlow

I was rewriting codebase of our <a href="https://letsenhance.io" target="_blank">neural network image upscaling service</a> — Let’s Enhance to make it ready for bigger and faster models and API we are working on. As we work with image generation (superresolution, deblurring, etc) we do rely on a typical image processing libraries like OpenCV and PIL. I always had suspicions that it makes sense to use Tensorflow image processing capabilities — in theory, they should be faster. So, I decided to stick to native Tensorflow image preprosessing and dataset building tools using dataset.map() to keep all operations in tensors all around my code.

How Tensorflow’s tf.image.resize stole 60 days of my life

A look at two databases that have made claims to the Kubernetes native label: TiDB and DataStax Astra DB.

Kubernetes-Native Database: TiDB Vs. DataStax Astra DB

Blue Sky Analytics is a big data and AI start-up that uses geospatial data to monitor environmental parameters. Our goal is to become the Bloomberg of Environmental data for environmental monitoring, ESG (environment, social, and governance) due-diligence and climate risk assessment.

Building a Global Environmental Datastack for Climate Action

Stop babysitting profile pictures. Learn how Filestack Workflows turn image uploads into scalable, async, and lightning-fast experiences.

How to Fix Profile Image Upload Headaches with Filestack Workflows

As a tech startup, you don’t have to reach everyone. You just need to reach your people, the ones who get your product, the ones whose problems you solve.

The Tech Startup’s Guide to First-Time Advertising (TL;DR: Go Niche!)

Reach 4M+ tech professionals monthly on HackerNoon with targeted campaigns, curated tags, and high-performing ad formats.

How AWS, Bosch & Brave Reach 4M+ Tech Pros on HackerNoon

Learn how to build machine learning models in Java using DeepLearning4J, Tribuo, and Smile. 

Machine Learning in Java: Getting Started with DeepLearning4J, Tribuo, and Smile

Fine-tune ResNet-18 from TensorFlow Model Garden to classify CIFAR-10 images with this step-by-step deep learning tutorial.

Fine-Tuning ResNet-18 with TensorFlow Model Garden for CIFAR-10 Classification

Use ExtensionTypes in TensorFlow with custom dispatch, Keras, tf.function, and SavedModel to build smarter, flexible models beyond regular tensors.

Building Smarter Models with TensorFlow’s Most Underrated Feature—Extension Types

Write better, cleaner TensorFlow 2 code. This guide covers migration from TF1, Keras best practices, custom loops, metrics, and more.

Tips for Writing Clean Code in TensorFlow 2

From a technical architecture perspective, I believe this wave of AI will profoundly reshape the entire software ecosystem.

Are Traditional Data Warehouses Being Devoured by Agentic AI? 

Learn how to build a logistic regression model with TensorFlow Core to classify tumors using the Wisconsin Breast Cancer Dataset.

Logistic Regression for Binary Classification With Core APIs

Customize Keras model training by overriding train_step() while keeping the benefits of fit(), like callbacks and metrics.

Keep Keras fit() and Train Your Model Your Way

Dive into the full-stack integration of Apache SeaTunnel × Cloudberry! 

Build Scalable Data Pipelines With Apache SeaTunnel × Cloudberry Integration

Discover how HackerNoon's contextual ads outperform traditional platforms, delivering 5x more clicks by reaching 2M+ engaged tech readers. Book a call.

DATASTEMA

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DataStema's stories on HackerNoon

Boost TensorFlow Training Speed by 50% with These TPU Tricks

You’re Wasting GPU Power—Fix Your TensorFlow Input Pipeline Today

How to Speed Up Your TensorFlow tf.data Pipeline

For Data of All Shapes and Sizes, Ragged Tensors Offer a Home

Let's Connect Allure Reports to a Test Project Made on Citrus Framework

Fine-Tuning RoBERTa for Topic Classification

Kinetics Dataset - Training and Evaluating Models for Video Classification

How to Fine Tune a 🤗 (Hugging Face) Transformer Model

Multi-GPU training with Brain Builder and TensorFlow

How Tensorflow’s tf.image.resize stole 60 days of my life

Kubernetes-Native Database: TiDB Vs. DataStax Astra DB

Building a Global Environmental Datastack for Climate Action

How to Fix Profile Image Upload Headaches with Filestack Workflows

The Tech Startup’s Guide to First-Time Advertising (TL;DR: Go Niche!)

How AWS, Bosch & Brave Reach 4M+ Tech Pros on HackerNoon

Machine Learning in Java: Getting Started with DeepLearning4J, Tribuo, and Smile

Fine-Tuning ResNet-18 with TensorFlow Model Garden for CIFAR-10 Classification

Building Smarter Models with TensorFlow’s Most Underrated Feature—Extension Types

Tips for Writing Clean Code in TensorFlow 2

Are Traditional Data Warehouses Being Devoured by Agentic AI?

Logistic Regression for Binary Classification With Core APIs

Keep Keras fit() and Train Your Model Your Way

Build Scalable Data Pipelines With Apache SeaTunnel × Cloudberry Integration

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