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. 

DATAKUND

datakund.com

Since n.d.

DATAKUND

EVERGREEN INDEX #5962

DataKund's stories on HackerNoon

Meet the Winners of Startups in Asia

Datafund ICO Review: Degreasing Big Data

Swarm Summit 2024 Recap

The Best 50 Sites to Learn About Data Science

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

Grenade! Dependently Typed Neural Networks

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

Deep Learning and Deep Types: Tensor Flow and Dependent Types

3 Ways to Seamlessly Integrate Databend with SeaTunnel for Streaming ETL

Data Leak Prevention with Databunker

Fine-Tune JAX Models in TensorFlow with JAX2TF and Flax

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

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DATAKUND

datakund.com

Since n.d.

DATAKUND

EVERGREEN INDEX #5962

DataKund's stories on HackerNoon

Meet the Winners of Startups in Asia

Datafund ICO Review: Degreasing Big Data

Swarm Summit 2024 Recap

The Best 50 Sites to Learn About Data Science

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

Grenade! Dependently Typed Neural Networks

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

Deep Learning and Deep Types: Tensor Flow and Dependent Types

3 Ways to Seamlessly Integrate Databend with SeaTunnel for Streaming ETL

Data Leak Prevention with Databunker

Fine-Tune JAX Models in TensorFlow with JAX2TF and Flax

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

DataKund's Related Companies

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Reviews About DataKund

DataKund WIKI

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