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AI Drug Discovery: How It’s Changing the Game

Becoming Human

AI began back in the 1950s as a simple series of “if, then rules” and made its way into healthcare two decades later after more complex algorithms were developed. Machine Learning Machine learning (ML) focuses on training computer algorithms to learn from data and improve their performance, without being explicitly programmed.

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Top Use Cases of AI in the Banking Sector

Becoming Human

AI Chatbots The banking sector has started to use AI and ML (machine learning) significantly, with chatbots being one of the most popular applications. This is where AI and ML can be extremely useful. What’s more, AI/ML can help banks protect customer data. Chatathon by Chatbot Conference Top 6 AI in Banking Use Cases 1.

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How to implement Adaptive AI in your business

Becoming Human

The inability to adapt to new data streams has been a significant limitation of ML models. Adaptive AI steadily enhances performance as time progresses by actively adjusting algorithms, decision-making processes, and actions. Fortunately, the emergence of adaptive AI is changing the game.

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Revolutionary AI Use Cases In The Logistics Industry

Becoming Human

Predictive Maintenance AI and machine learning algorithms support predicting machine failures in logistics operations by analyzing real-time data. Route Optimization The applications of AI in the logistics and transport industry help the VRP or Vehicle Routing Problem by applying the AI/ML-powered route optimization feature.

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2021 in Review: What Just Happened in the World of Artificial Intelligence?

Applied Data Science

The immense computational complexity of recent algorithms has forced their creators to train them only a handful of times, in many cases just once. ML models are however statistical in nature, which theoretically means that their average performance may be very different from the one during a specific training run.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

Note : Now write some articles or blogs on the things you have learned because this thing will help you to develop soft skills as well if you want to publish some research paper on AI/ML so this writing habit will help you there for sure. Performance Metrics These are used to evaluate the performance of a machine-learning algorithm.

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NLP News Cypher | 08.23.20

Towards AI

I tend to view LIT as an ML demo on steroids for prototyping. old mermaid money found on the Titanic ? declassified Google sneaked up on us with LIT. A toolkit that allows the developer to dig deep into language models, in addition to dataset visualization. Comes with a UI out of the box. What can it do?