Data Science and Analytics

How to Annotate Image Files for Machine Learning at Scale

   ​ Learn about the importance of image annotation and what you should know to annotate image files for machine learning at scale.​ ​ The performance of computer vision algorithms is greatly influenced by the quality of the images used for the training and validation. Every image in your training dataset should have thoughtful and accurate …

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How to Effectively Handle Unstructured Data Using AI

   ​ Explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions and stay ahead of the competition.​ ​ Over the last few decades, the sheer volume of data we have gathered has reached over 100 zettabytes (ZB). Yet nearly 80% of the data we captured globally remains unstructured, while …

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Model Deployment: Types, Strategies and Best Practices

   ​ Learn the best MLOps practices for deploying machine learning models to production.​ ​ Introduction: The Art of Deploying ML Systems Machine Learning is a complicated domain. Having these pieces of software running in a production environment is not trivial. There are several moving pieces in a Machine Learning System and each of them has …

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LLM Gateway: Key Features, Advantages, Architecture

   ​ LLM gateway provides a central hub for accessing multiple models with added features like pre-processing and monitoring.​ ​ The rise of commercial LLMs like ChatGPT has transformed how businesses and industries integrate AI into their workflows. From UI/UX design to backend development and data analysis, AI, particularly LLMs and GenAI, has become essential for …

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How to Manage Unstructured Data in AI and Machine Learning Projects

   ​ Unstructured data is difficult to analyze and extracting meaningful insights and patterns is challenging. Learn to manage unstructured data for AI and ML.​ ​[[{“value”:” Much of the world’s data doesn’t conform to a particular structure. The day-to-day data exchange between humans is an example of this. The tweets we post on X don’t have …

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Machine Learning Experiment Tracking: Your Ultimate Guide

   ​ Learn the importance of machine learning experiment tracking and how to implement it effectively to streamline your ML workflows.​ ​[[{“value”:” Machine learning workflows are a collection of multiple critical stages including data collection, preprocessing, model development, training, evaluation, and deployment. Each of these stages requires a thorough decision-making process starting from selecting preprocessing techniques …

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What is Prompt Management for LLM Applications

   ​ Improve your interactions with AI by learning all about prompt management for Large Language Models.​ ​ LLMs or Large Language Models have come a long way. They have become assistants in our day-to-day activities whether it is personal work like financial planning or professional work such as coding or analyzing data, LLMs are proficient …

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Deploying Large Language Models Safely and Securely

   ​ Learn all about deploying Large Language Models (LLMs) safely and securely to protect sensitive data and prevent misuse.​ ​ Large Language Models (LLMs) are excellent tools that can do anything from producing text that sounds human to comprehending actual language. But immense power comes with great responsibility. It is important to deploy LLMs safely …

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🌲 Machine Learning in Agriculture: Scaling AI for Crop Management with Dror Haor

   ​ Dror Haor, CTO of SeeTree, discusses AI-driven farm management and balancing accuracy with cost in agriculture on the MLOps podcast.​ ​ In this episode, Dean speaks with Dror Haor, CTO at SeeTree, about the challenges of deploying AI in agriculture at scale. They explore how SeeTree integrates AI and sensor fusion to manage vast …

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10 Best Tools for Machine Learning Model Visualization (2024)

   ​ Machine Learning Visualization is the art and science of representing machine learning models, data, and their relationships through graphical means.​ ​[[{“value”:”Source: Author Machine Learning Visualization is the art and science of representing machine learning models, data, and their relationships through graphical or interactive means. It’s a crucial tool for understanding the complex inner workings …

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