Dataconomy

MAY 25, 2023

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.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

Data Science Dojo

APRIL 10, 2023

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.

Data Mining 195

Data Mining Data Mining Data Mining Algorithm 195

ODSC - Open Data Science

MAY 31, 2023

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.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

IBM Journey to AI blog

FEBRUARY 23, 2024

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.

AI 116

AI AI ML ML 116

Dataconomy

FEBRUARY 24, 2023

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.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

Pickl AI

JULY 14, 2023

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.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

JUNE 6, 2024

Building the Model: Data scientists choose algorithms that act as frameworks for the model to learn from the data. Model Building & Training Once the data is ready, data scientists choose appropriate algorithms like regression analysis, decision trees, or machine learning techniques.

Internet of Things 52

Internet of Things Data Scientist Data Quality Data Analysis 52