Remove 2024 Remove Data Modeling Remove Data Preparation
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The Top AI Slides from ODSC West 2024

ODSC - Open Data Science

ODSC West 2024 showcased a wide range of talks and workshops from leading data science, AI, and machine learning experts. This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.

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2024’s top Power BI interview questions simplified

Pickl AI

Optimising Power BI reports for performance ensures efficient data analysis. Power BI proficiency opens doors to lucrative data analytics and business intelligence opportunities, driving organisational success in today’s data-driven landscape. How does Power Query help in data preparation?

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Deploying Gen AI in Production with NVIDIA NIM & MLRun

Iguazio

Over the course of 2023 enterprises entered the experimentation stage and kicked off POCs with API services and open models including Llama 2, Mistral, NVIDIA and others. In 2024, organizations are setting aside dedicated budgets for gen AI while ramping up their efforts to build accelerated infrastructure to support gen AI in production.

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Future-Forward: 2024’s Most Promising Power BI Project Ideas

Pickl AI

It now allows users to clean, transform, and integrate data from various sources, streamlining the Data Analysis process. This eliminates the need to rely on separate tools for data preparation, saving time and resources. Ensure data consistency and accuracy for trustworthy insights.

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How to Choose MLOps Tools: In-Depth Guide for 2024

DagsHub

You need to make that model available to the end users, monitor it, and retrain it for better performance if needed. Best MLOps Tools & Platforms for 2024 In this section, you will learn about the top MLOps tools and platforms that are commonly used across organizations for managing machine learning pipelines.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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Must-Have Skills for a Machine Learning Engineer

Pickl AI

billion in 2024, at a CAGR of 10.7%. R and Other Languages While Python dominates, R is also an important tool, especially for statistical modelling and data visualisation. Model evaluation and tuning involve several techniques to assess and optimise model accuracy and reliability. billion in 2023 to $181.15