Mon.Sep 23, 2024

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How to Calculate Eigenvalues and Eigenvectors with NumPy

KDnuggets

NumPy is a powerful Python library, which supports many mathematical functions that can be applied to multi-dimensional arrays. In this short tutorial, you will learn how to calculate the eigenvalues and eigenvectors of an array using the linear algebra module in NumPy. Calculating the Eigenvalues and Eigenvectors in NumPy In order to explore.

Python 137
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Announcing Databricks Support for Amazon EC2 G6 Instances

databricks

We are excited to announce that Databricks now supports Amazon EC2 G6 instances powered by NVIDIA L4 Tensor Core GPUs. This addition marks.

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How to Use R for Data Transformation with dplyr

KDnuggets

It's important to transform data for effective data analysis. R's 'dplyr' package makes data transformation simple and efficient. This article will teach you how to use the dplyr package for data transformation in R. Install dplyr Before using dplyr, you must install and load it into your R session. Now you’re ready to.

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How to decide on a data project for your portfolio

Start Data Engineering

1. Introduction 2. Steps to decide on a data project to build 2.1. Objective 2.2. Research 2.2.1. Job description 2.2.2. Potential referral/hiring manager research 2.2.3. Company research 2.3. Data 2.3.1. Dataset Search 2.3.2. Generate fake data 2.4. Outcome 2.4.1. Visualization 2.5. Presentation 3. Conclusion 4. Read these 1.

Portfolio 130
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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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How to Train a Speech Recognition Model with Wav2Vec 2.0 and Hugging Face Transformers

KDnuggets

Let’s learn how to train the speech recognition model with Wav2Vec 2.0 and Transformers. Preparation Our tutorial would require the following packages, so install them with the following code: pip install transformers datasets soundfile Additionally, you should install the PyTorch package by selecting the suitable version for your environment. With the package.

Datasets 127
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9 Mainframe Statistics That May Surprise You

Precisely

Are mainframes still relevant today? You bet! The following ten statistics paint a picture that shows mainframes are still going strong, with no signs of slowing. 1. The Mainframe Turns 60: A Milestone in Computing History. 60 years can really fly by! On April 7, 2024 , the Mainframe turned 60. At this milestone, we should all reflect on what the mainframe has done to the computing industry.

Banking 116

More Trending

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Free Courses That Are Actually Free: Google Cloud Edition

KDnuggets

If you’ve been keeping up, I have been creating a series of free courses that are actually free, for example, the AI & ML Edition. Type in ‘Free courses that are actually free’ in the search bar to look at the rest. In this blog, I will dive into free courses with Google, from programming.

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Metadata – Data Interoperability’s Hidden Talent (Part One)

ArcGIS

Metadata, the data about your data, is incredibly important, and Data Interoperability can help you create, manage, and maintain that data.

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Celebrating Hispanic Heritage Month with Cloudera

Cloudera

We’re more than a week into Hispanic Heritage Month, which started on September 15 and continues through October 15. This month is an annual celebration in the United States that honors the contributions, culture, and achievements of Hispanic and Latinx Americans. Over the next few weeks, we’ll be gathering with fellow Clouderans to reflect on and celebrate, the achievements of the Hispanic and Latinx communities here in the U.S. and across the globe.

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Python Packaging in the Real World: Biomedical projects vs. PyPI

Tweag

The Python programming language, and its huge ecosystem (there are more than 500,000 projects hosted on the main Python repository, PyPI ), is used both for software engineering and scientific research. Both have similar requirements for reproducibility. But, as we will see, the practices are quite different. In fact, the Python ecosystem and community is notorious for the countless ways it uses to declare dependencies.

Python 56
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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Convening With Data Streaming Engineers at Current 2024

Confluent

Check out this technical recap of Current 2024 keynotes and sessions for an overview of what data streaming engineers are learning and building today.

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Masking Sensitive Data in External Tables

Cloudyard

Read Time: 3 Minute, 51 Second In this post, we’ll explore the application of masking policies on external tables in Snowflake. While masking policies are commonly implemented on permanent tables, there are scenarios where sensitive data may reside in external sources, such as files in S3, which do not need to be fully ingested into Snowflake.

Data 52
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Michael J. Wallace Joins Confluent as Public Sector GM

Confluent

New executive to lead Confluent’s growth in public sector

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Unlocking Effective Data Governance with Unity Catalog – Data Bricks – Part 2

RandomTrees

In the first part of Data Governance with Unity Catalog , we explored the fundamentals of Unity Catalog, including its core features, advantages, and a comparison with other data catalog tools. We also delved into the object hierarchy in the metastore, setting the foundation for a comprehensive understanding of this powerful governance solution. Now, in this part, we will continue our deep dive by examining the critical admin roles in Unity Catalog, uncovering how data lineage is captured and vi

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Activities in Project Management: Roles, Activity List, Templates

Knowledge Hut

Many of us have heard about project management, especially as an upcoming career path. But only a few know the actual drill. Project management encompasses several phases: initiation, planning, execution, monitoring, and closure. Every stage is an activity in project management. Whether you are an experienced project manager looking to upgrade your skills or a curious beginner for insights into the art of successful projects, this fundamental guide will educate you with knowledge and tools to wo

Project 52
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Top 10+ AI skills To Boost your Career in AI

Edureka

Introduction You must be wondering what is Artificial Intelligence? Artificial Intelligence (AI) is transforming the way we live and work. As AI technologies become more prevalent, the demand for professionals with the right AI skills is growing rapidly. Whether you’re an aspiring AI/ML engineer, a data scientist, or someone interested in AI ethics, knowing the essential AI required skills can help you stand out in this competitive field.

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AI vs. Data Science: A Complete Guide

Edureka

Currently, two fields are critical and in demand – Data Science and Artificial Intelligence (AI). Though these terms and their usage are very close, they are two separate fields with their characteristics, and the field of statistics is narrower and focused differently. To overview data science and AI, it is necessary to explain the principles of the work of each field and their similarities and differences.