Mon.Oct 24, 2022

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Easy Guide To Data Preprocessing In Python

KDnuggets

Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.

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Stop Using Tiny, Grainy Photos in PowerPoint!!!

Depict Data Studio

It’s not 1995. Last week, I was leading a post-conference workshop with CQI professionals in California. You can learn more about their annual conferences here. An attendee asked about best practices for adding photographs to our PowerPoint presentations. Before. Let’s pretend that you’re giving a presentation about young children and physical fitness.

Modeling 111
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Ensemble Learning with Examples

KDnuggets

Learn various algorithms to improve the robustness and performance of machine learning applications. Furthermore, it will help you build a more generalized and stable model.

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Inside track: Chris Bedi on his evolving CIO role at ServiceNow

CIO Business Intelligence

What’s in a name? For Chris Bedi, who joined ServiceNow as CIO in September 2015, a lot: the company recently gave him a new title, chief digital information officer, and rebranded his IT team as “digital technology.” “The rebranding is an acknowledgement of how the role has changed,” he says, but is also intended to reinforce various mindsets that he wants the whole team to adopt.

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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.

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Top Posts October 17-23: 7 Free Platforms for Building a Strong Data Science Portfolio

KDnuggets

Most Popular Posts Last Week 7 Free Platforms for Building a Strong Data Science Portfolio by Abid Ali Awan 25 Advanced SQL Interview Questions for Read more »

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Over 90% of companies overpay for project collaboration software: Report

CIO Business Intelligence

As popularity of project collaboration software grows along with other software-as-a-service products, a research report from SaaS purchasing platform Vertice shows that more than 90% of enterprises are overpaying for these tools. The project collaboration software market is estimated to reach a value of $27.40 billion by the end of 2022, from $21.69 billion in 2021, according to a report from Grand View Research, which links the growth to factors such as the evolution of the workplace and th

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Modelers, ML Engineers, and Analysts: New Reasons for You to Love Dataiku 11

Dataiku

Dataiku 11 introduced major breakthroughs centered around empowering your expert technical communities and unleashing the potential of your subject matter experts and business professionals, all with a top level focus on AI oversight and governance.

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What is Data Storage: Types of Data Storage

Nutanix

What is data storage, what are the different types and what do you need for your business? Find out everything you need to know to store and manage your data.

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Taming the Tech Stack: Leverage Your Existing Tech Stack Securely With an Analytics Layer

Jet Global

Analytics and data visualizations have the power to elevate a software product, making it a powerful tool that helps each user fulfill their mission more effectively. To stand apart from the competition, today’s software applications need to deliver a lot more than just transaction processing. They must also provide insights that help drive better decisions, alert users to matters that require their attention, and deliver up-to-the-minute information about the things that matter most.