Pickl AI

JANUARY 29, 2024

AI comprises Natural Language Processing, computer vision, and robotics. ML focuses on algorithms like decision trees, neural networks, and support vector machines for pattern recognition. Skills Proficiency in programming languages (Python, R), statistical analysis, and domain expertise are crucial.

Data Science 52

Data Science ML ML Machine Learning 52

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

Heartbeat

OCTOBER 23, 2023

Predictive Modeling and Risk Stratification: They also develop predictive models to forecast disease progression and patient outcomes and identify high-risk individuals for developing specific health conditions. Another notable application is predictive analytics in healthcare.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

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

IBM Journey to AI blog

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 60

Machine Learning Machine Learning Data Science Big Data 60

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 82

Machine Learning Machine Learning Supervised Learning Clustering 82

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