IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g.,

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Dataconomy

MAY 25, 2023

AI algorithms can uncover hidden correlations within IoT data, enabling predictive analytics and proactive actions. With AI algorithms, IoT devices can process and interpret data in real-time, enabling accurate decision-making and actionable intelligence.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? AI models can be trained to recognize patterns and make predictions.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? AI models can be trained to recognize patterns and make predictions.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

JUNE 13, 2023

AI algorithm selection and training Depending on the nature of the decision problem, appropriate artificial intelligence algorithms are selected. These may include machine learning algorithms like neural networks, decision trees, support vector machines, or reinforcement learning.

Power BI 103

Power BI Artificial Intelligence Artificial Intelligence Data Analysis 103

Pickl AI

SEPTEMBER 16, 2024

Applications Medical Diagnosis: Predicting disease outcomes based on patient data. Stock Market Predictions : Forecasting stock prices based on historical data. Support Vector Machines (SVM) Support Vector Machines are powerful supervised learning algorithms used for classification and regression tasks.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

JULY 12, 2024

Deep Learning has been used to achieve state-of-the-art results in a variety of tasks, including image recognition, Natural Language Processing, and speech recognition. Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52