DataKund

In 2021, HackerNoon hosted the first-ever Startup of the Year awards!!

Meet the Winners of Startups in Asia

They bait the hook and we fall for it every time. Want to use a free, massively popular public platform like Facebook or Google? Go for it.

Datafund ICO Review: Degreasing Big Data

Any blockchains that support transactions with an escrow contract and implement SHA-256 encryption are eligible.

Swarm Summit 2024 Recap

Blogs, they’re everywhere. Blogs about travel, blogs about pets, blogs about blogs. And data science is no exception. Data science blogs are a dime a dozen and with so many, where do you start when you need to find the most valuable information for your needs?

The Best 50 Sites to Learn About Data Science

For all its talk of disrupting existing technologies and making our lives better, the tech industry hasn't been especially good at keeping its employees happy. In fact, Millennial tech workers
are reaching alarming burnout rates and leave their jobs more frequently than previous generations. There are several factors at play in both issues, but one big problem is that many Millennials are not finding meaning and purpose in their work. 

Millennials are Leaving Tech’s Old Guard in Favor of Social Enterprise Startups

<a href="https://mmhaskell.com/blog/2017/9/11/deep-learning-and-deep-types-tensor-flow-and-dependent-types" target="_blank">In the last</a> <a href="https://www.mmhaskell.com/blog/2017/9/18/checking-its-all-in-place-placeholders-and-dependent-types" target="_blank">couple weeks</a> we explored one of the most complex topics I’ve presented on this blog. We examined potential runtime failures that can occur when using Tensor Flow. These included mismatched dimensions and missing placeholders. In an ideal world, we would catch these issues at compile time instead. At its current stage, the Haskell Tensor Flow library doesn’t support that. But we demonstrated that it is possible to add a layer to do this by using dependent types.

Grenade! Dependently Typed Neural Networks

Last week we dove into the world of dependent types. We linked tensors with their shapes at the type level. This gave our program some extra type safety and allowed us to avoid certain runtime errors.

Checking it’s all in Place: Placeholders and Dependent Types

In the <a href="https://mmhaskell.com/blog/2017/8/7/the-future-is-functional-haskell-and-the-ai-native-world" target="_blank">introduction to this series</a>, one primary point I made was that Haskell is a safe language. There are a lot of errors we will catch at compile time, rather than runtime. Runtime errors can often be catastrophic to a system, so being able to reduce these is paramount. This is especially true when programming an autonomous car or drone. These objects will be out in the real world where they can hurt people if they malfunction.

Deep Learning and Deep Types: Tensor Flow and Dependent Types

Learn three practical methods to integrate Databend with SeaTunnel for scalable, real-time ETL.

3 Ways to Seamlessly Integrate Databend with SeaTunnel for Streaming ETL

We hear the horror stories of data leaks almost every day. Some require a sophisticated attack to gain shell access to the servers. Some happen over the web using the SQL injections in the web apps. As a result of this attack, your customer data can be dumped and personal data leaked.

Data Leak Prevention with Databunker

Convert and train JAX models in TensorFlow with JAX2TF. Build with Flax and Optax, then export to TensorFlow for production, fine-tuning, or inference.

Fine-Tune JAX Models in TensorFlow with JAX2TF and Flax

The global knowledge graph market is projected to reach $6.93 billion by 2030. 

What If Your LLM Is a Graph? Researchers Reimagine the AI Stack

In this post, I used Crossplane to create a simple GKE cluster. Using Kubernetes for the registry and the reconciling behavior is ingenious.

My First Steps With Crossplane: Crossplane 101

Meet the 2024 Startups of The Year winners in the programming category who are rewriting the rules of software development one code at a time.

Startups of The Year 2024 Winners: Programming

Meet the AI startups leading the way in automation, machine learning, and generative AI, and more, in the Startups of the Year 2024 awards.

Startups of The Year 2024 Winners: AI Industry 

Realizing that not all use Gradle, I thought I would demonstrate how quickly a RESTful API can be created by leveraging ChatGPT, Spring Boot, Maven, and Heroku.

How To Introduce a New API Quickly Using Spring Boot and Maven

Time to market can make or break any idea or solution. Check out how quickly a RESTful API can be created by leveraging ChatGPT, Spring Boot, Gradle, and Heroku

How To Introduce a New API Quickly Using Spring Boot and Gradle

Dyslexia has shaped how I read and write code, influencing my preference for structured, easy-to-scan formatting.

How Dyslexia Shapes The Way I Code

As Dungeon Master, you craft epic encounters—but finding the perfect D&D monster is tough. Let’s build a tool that picks the ideal foe with vector search magic!

Build a Monster-Finding Tool For Your Next D&D Session That Picks the Right Encounter For You

A smart, flexible solution to reduce boilerplate code and handle Context-Aware Configurations serialization in AEM

How to Simplify AEM Configuration Serialization

You'll learn about the Hugging Face platform, setting up a project, creating an access token, building a Java client, and more!

Step-by-Step: Building a REST API That Talks to Hugging Face Models

This guide provides practical steps for managing Terraform provider configurations across multiple Yandex Cloud regions using Terragrunt.

Setting up Yandex Cloud Provider with Terraform and Terragrunt

mlops with databricks, mlflow, model registry, experiment tracking, feature store, machin learning pipeline, tutorial, machine learning and data engineering, 

Let's Build an MLOps Pipeline With Databricks and Spark - Part 1

A simplified example of an application that handles sensitive data leveraging Spring and Redis.

DATAKUND

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DATAKUND

datakund.com

10 emps

Since 2018

DataKund's Related Companies

2003

225B

130B

2005

8.2B

2013

1.6B

2012

1.3B

2016

1.2B

2019

31.5M

-1%

2000

28.2M

2017

12M