Clustering, Decision Trees and Predictive Analytics

Generative AI vs. predictive AI: What’s the difference?

IBM Journey to AI blog

AUGUST 9, 2024

It extracts insights from historical data to make accurate predictions about the most likely upcoming event, result or trend. In short, predictive AI helps enterprises make informed decisions regarding the next step to take for their business.

AI

AI AI Decision Trees Algorithm

Unlocking data science 101: The essential elements of statistics, Python, models, and more

Data Science Dojo

AUGUST 11, 2023

They play a pivotal role in predictive analytics and machine learning, enabling data scientists to make informed forecasts and decisions based on historical data patterns. By leveraging models, data scientists can extrapolate trends and behaviors, facilitating proactive decision-making.

Data Science

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Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g., temperature, salary).

Machine Learning

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Understanding and Building Machine Learning Models

Pickl AI

NOVEMBER 18, 2024

Clustering and dimensionality reduction are common tasks in unSupervised Learning. For example, clustering algorithms can group customers by purchasing behaviour, even if the group labels are not predefined. Predictive analytics uses historical data to forecast future trends, such as stock market movements or customer churn.

Machine Learning

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Statistical Modeling: Types and Components

Pickl AI

OCTOBER 15, 2024

They identify patterns in existing data and use them to predict unknown events. Predictive modeling is widely used in finance, healthcare, and marketing. Techniques like linear regression, time series analysis, and decision trees are examples of predictive models.

Decision Trees

Decision Trees Hypothesis Testing Clustering Data Analysis

Exploring 5 Statistical Data Analysis Techniques with Real-World Examples

Pickl AI

DECEMBER 14, 2023

Decision Trees Decision trees are a versatile statistical modelling technique used for decision-making in various industries. In marketing, a decision tree can help determine the most effective advertising channels based on customer demographics, improving campaign targeting and ROI.

Data Analysis

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

JULY 12, 2024

Algorithms in ML identify patterns and make decisions, which is crucial for applications like predictive analytics and recommendation systems. Supervised Learning Algorithms In supervised learning , algorithms learn from labelled data to predict outcomes for unseen data points.

Artificial Intelligence

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How Data Science and AI is Changing the Future

Pickl AI

NOVEMBER 5, 2024

Key Takeaways Data-driven decisions enhance efficiency across various industries. Predictive analytics improves customer experiences in real-time. Together, Data Science and AI enable organisations to analyse vast amounts of data efficiently and make informed decisions based on predictive analytics.

Data Science

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Everything you should know about AI models

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? The information from previous decisions is analyzed via the decision tree.

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

Everything you should know about AI models

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? The information from previous decisions is analyzed via the decision tree.

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

Data Science skills: Mastering the essentials for success

Pickl AI

MARCH 20, 2024

Aspiring Data Scientists must equip themselves with a diverse skill set encompassing technical expertise, analytical prowess, and domain knowledge. Whether you’re venturing into machine learning, predictive analytics, or data visualization, honing the following top Data Science skills is essential for success.

Data Science

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Elevating business decisions from gut feelings to data-driven excellence

Dataconomy

JUNE 13, 2023

These algorithms are carefully selected based on the specific decision problem and are trained using the prepared data. Machine learning algorithms, such as neural networks or decision trees, learn from the data to make predictions or generate recommendations.

Power BI

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Exploring the dynamic fusion of AI and the IoT

Dataconomy

MAY 25, 2023

This enables them to extract valuable insights, identify patterns, and make informed decisions in real-time. AI algorithms can uncover hidden correlations within IoT data, enabling predictive analytics and proactive actions.

Internet of Things

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Comparison: Artificial Intelligence vs Machine Learning

Pickl AI

OCTOBER 24, 2024

It is often used for clustering data into meaningful categories. Reinforcement Learning : Reinforcement learning teaches models to make decisions by rewarding desired actions and penalising incorrect ones, allowing the system to learn optimal strategies over time. Machine Learning, on the other hand, focuses on task-specific learning.

Artificial Intelligence

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

SEPTEMBER 23, 2024

Healthcare Data Science is revolutionising healthcare through predictive analytics, personalised medicine, and disease detection. For example, it helps predict patient outcomes, optimise hospital operations, and discover new drugs. Finance: AI-driven algorithms analyse historical data to detect fraud and predict market trends.

Artificial Intelligence

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Data Science Current

Generative AI vs. predictive AI: What’s the difference?

Unlocking data science 101: The essential elements of statistics, Python, models, and more

Webinars

Trending Sources

Five machine learning types to know

Webinars

Understanding and Building Machine Learning Models

Statistical Modeling: Types and Components

Exploring 5 Statistical Data Analysis Techniques with Real-World Examples

Artificial Intelligence Using Python: A Comprehensive Guide

How Data Science and AI is Changing the Future

Everything you should know about AI models

Everything you should know about AI models

Data Science skills: Mastering the essentials for success

Elevating business decisions from gut feelings to data-driven excellence

Exploring the dynamic fusion of AI and the IoT

Comparison: Artificial Intelligence vs Machine Learning

Understanding the Synergy Between Artificial Intelligence & Data Science

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