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Fermata Secures $10 Million Series A Funding to Revolutionize Agriculture with AI

Unite.AI

Fermata , a trailblazer in data science and computer vision for agriculture, has raised $10 million in a Series A funding round led by Raw Ventures. Croptimus monitors crops 24/7 using cameras that collect high-resolution imagery, which is then processed through advanced algorithms to detect pests, diseases, and nutrient deficiencies.

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Josh Tobin of Gantry on Continual Learning Benefits and Challenges

ODSC - Open Data Science

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. What is continual learning? What are the biggest benefits of continual learning? Then there’s a whole spectrum of techniques in between.

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From Supervised Learning to Contextual Bandits: The Evolution of AI Decision-Making

Towards AI

This blog explores the differences between supervised learning and contextual bandits. From personalization engines to real-time pricing, contextual bandits provide an edge by continuously learning from feedback. Knowing the appropriate model for a given problem is essential in our data-driven world.

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How to Become a Generative AI Engineer in 2025?

Towards AI

d) Continuous Learning and Innovation The field of Generative AI is constantly evolving, offering endless opportunities to learn and innovate. Adaptability and Continuous Learning 4. These are essential for understanding machine learning algorithms. Problem-Solving and Critical Thinking 2.

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Breaking down the advantages and disadvantages of artificial intelligence

IBM Journey to AI blog

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.

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Aman Sareen, CEO of Aarki – Interview Series

Unite.AI

Our multi-layered approach combines proprietary algorithms with third-party data to stay ahead of evolving fraud tactics. The Dynamic Multi-object Bid Optimizer is a sophisticated system that goes beyond traditional bid shading algorithms. The result is a synergy between data science and creativity.

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Mastering MLOps : The Ultimate Guide to Become a MLOps Engineer in 2024

Unite.AI

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. Here are some excellent resources to get started: YouTube Channels : Tech with Tim : A great channel for Python programming and machine learning tutorials.