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.

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Pickl AI

SEPTEMBER 16, 2024

Summary: This blog highlights ten crucial Machine Learning algorithms to know in 2024, including linear regression, decision trees, and reinforcement learning. Disease Diagnosis: Predicting the presence or absence of a disease based on patient data. Each tree trained on the residual errors of the previous trees.

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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).

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Pickl AI

APRIL 16, 2025

hypothesis form the foundation for diverse applications, from predictive analytics and recommendation engines to autonomous systems, enabling accurate, data-driven decision-making and improved model performance. Key Takeaways hypothesis map input data to output predictions in Machine Learning models.

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Pickl AI

DECEMBER 14, 2023

The blog delves into their applications, emphasizing real-world examples in healthcare, finance, retail, and technology. From predicting patient outcomes to optimizing inventory management, these techniques empower decision-makers to navigate data landscapes confidently, fostering informed and strategic decision-making.

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AWS Machine Learning Blog

MAY 8, 2024

This success story emphasizes the crucial role of predictive analytics in staying ahead in the competitive telecom industry, demonstrating the transformative impact of advanced AI models. Weeraman , Sajani Jayathilaka , and Devinda Liyanage for your valuable contributions to this blog post. Thank you Nilanka S.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. Experience the power of watsonx Assistant The post Conversational AI use cases for enterprises appeared first on IBM Blog.

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Pickl AI

NOVEMBER 18, 2024

Summary: The blog provides a comprehensive overview of Machine Learning Models, emphasising their significance in modern technology. Underfitting happens when a model is too simplistic and fails to capture the underlying patterns in the data, leading to poor predictions. Decision trees are easy to interpret but prone to overfitting.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

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Pickl AI

OCTOBER 15, 2024

In Data Analysis, Statistical Modeling is essential for drawing meaningful conclusions and guiding decision-making. This blog aims to explain what Statistical Modeling is, highlight its key components, and explore its applications across various sectors. They identify patterns in existing data and use them to predict unknown events.

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Pickl AI

APRIL 9, 2025

This blog post aims to demystify these powerful concepts. DL Enhances Predictive Analytics: Excels in image and speech recognition tasks. AI is a broad field focused on simulating human intelligence, encompassing techniques like decision trees and rule-based systems. Is Deep Learning just another name for AI?

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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. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions. appeared first on IBM Blog.

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phData

SEPTEMBER 10, 2024

In this blog, we’ll look at how to apply Generative AI on top of predictive ML models to enhance explainability. Using Large Language Models (LLMs) on Snowflake AI Data Cloud , we’ll extract detailed natural-language descriptions to help business associates understand complex quantitative predictions.

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Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes.

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Defined.ai blog

AUGUST 10, 2023

From voice assistants like Siri and Alexa, which are now being trained with industry-specific vocabulary and localized dialogue data , to more complex technologies like predictive analytics and autonomous vehicles, AI is everywhere. It helps companies streamline operations, improve efficiency, and gain a competitive edge.

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Pickl AI

NOVEMBER 2, 2023

In this blog, we’ll explore various cheat sheets that cover a wide range of Data Science topics, making them a must-have resource for both beginners and experienced professionals. By making data-driven decisions, organizations can increase efficiency, reduce costs, and identify growth opportunities.

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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