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Exploring the dynamic fusion of AI and the IoT

Dataconomy

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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Data mining hacks 101: Listing down best techniques for beginners

Data Science Dojo

Data mining can help governments identify areas of concern, allocate resources, and make informed policy decisions. With the growth of the Internet of things (IoT) and the massive amounts of data generated by connected devices, data mining has become even more critical in today’s world.

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Where AI is headed in the next 5 years?

Pickl AI

Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. Rule-based chatbots : Also known as decision-tree or script-driven bots, they follow preprogrammed protocols and generate responses based on predefined rules.

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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

From there, a machine learning framework like TensorFlow, H2O, or Spark MLlib uses the historical data to train analytic models with algorithms like decision trees, clustering, or neural networks. A very common pattern for building machine learning infrastructure is to ingest data via Kafka into a data lake.

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How to use AI: Everything you need to know

Dataconomy

Choose the appropriate algorithm: Select the AI algorithm that best suits the problem you want to solve. Several algorithms are available, including decision trees, neural networks, and support vector machines. This involves feeding the algorithm with data and tweaking it to improve its accuracy.

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Data Demystified: What Exactly is Data?- 4 Types of Analytics

Pickl AI

It requires sophisticated tools and algorithms to derive meaningful patterns and trends from the sheer magnitude of data. Real-time data feeds and algorithmic trading strategies have transformed the dynamics of financial markets. Implementing robust data security measures and adhering to ethical data practices are paramount.