Wed.Dec 01, 2021

article thumbnail

How to Implement Data Engineering in Practice?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? Initially, we have the definition of Software […].

Data Lake 391
article thumbnail

5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022

KDnuggets

This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Guide to Data Analysis with DuckDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Reach the next level in your data analysis career by adding DuckDB into your data stack. The guide will help you to understand Python API and various ways to read CSV files with SQL script. Image by Author The life of a data analyst […]. The post The Guide to Data Analysis with DuckDB appeared first on Analytics Vidhya.

article thumbnail

Anima Anandkumar: What’s in the Future for AI?

DataRobot

Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research.

article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

article thumbnail

Beginner’s Guide to Ensemble Learning in Python

Analytics Vidhya

This article was published as part of the Data Science Blogathon. This guide entails concepts like ensemble learning, Voting Classifiers, a brief about bagging, pasting, and Out-of-bag Evaluation and their implementation. A brief about Random Forest, Extra Trees, and Feature Importance. Lastly, we will wrap things up by taking a quick look at Boosting and some […].

article thumbnail

DBA Success Requires More Than Tech Ability

TDAN

There is no denying that database administration requires a bevy of technical know-how. The DBA is the information technician responsible for ensuring the ongoing operational functionality and efficiency of an organization’s databases and the applications that access those databases. As such, DBAs are tasked with designing, implementing, and administering databases, but also performance monitoring, backup […].

More Trending

article thumbnail

Reference Data: Smoothing Out the Bumps in M&A

Teradata

M&A is an important part of an organization's growth strategy. Getting reference data right can be foundational to overcoming many challenges that come with it.

article thumbnail

Movie Recommendations with Spark Collaborative Filtering

KDnuggets

Not sure what movie to watch? Ask your recommender system.

151
151
article thumbnail

Cloud Data Governance

TDAN

Migrating data to the public cloud offers a wide range of benefits for enterprises; data teams can more easily access their data, write, and test data science models, evaluate new data platforms and test applications, run POCs, and deploy in production. But with the advantages cloud migration and cloud platforms offer, enterprises must understand that […].

article thumbnail

The Seven Best ELT Tools for Data Warehouses

KDnuggets

ELT helps to streamline the process of modern data warehousing and managing a business’ data. In this post, we’ll discuss some of the best ELT tools to help you clean and transfer important data to your data warehouse.

article thumbnail

How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

article thumbnail

You Won’t Scale AI Without Enlisting Non-Experts to the Cause

Dataiku

2021 was the year that a significant number of organizations had this critical realization. In a variety of ways, the pool of people building and benefiting from AI is expanding and, in this article, we’ll highlight how and in what capacity.

64
article thumbnail

5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022

KDnuggets

This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.

article thumbnail

A Guide to Natural Language Processing for Text and Speech

Domino Data Lab

While humans have been using language since we arose, a complete understanding of language is a lifelong pursuit that often comes short, even for experts. To task computer technology with comprehending language, translating and even producing original written works represents a series of problems that are still in the process of being solved.

article thumbnail

KDnuggets™ News 21:n45, Dec 1: Most Common SQL Mistakes on Data Science Interviews; Why Machine Learning Engineers are Replacing Data Scientists

KDnuggets

Most Common SQL Mistakes on Data Science Interviews; Why Machine Learning Engineers are Replacing Data Scientists; Vote in new KDnuggets Poll: What Percentage of Your Machine Learning Models Have Been Deployed? KDnuggets: Personal History and Nuggets of Experience.

article thumbnail

Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

article thumbnail

The Future of EUC - Work From Anywhere

Nutanix

45