Data Science Dojo

AUGUST 6, 2024

As the artificial intelligence landscape keeps rapidly changing, boosting algorithms have presented us with an advanced way of predictive modelling by allowing us to change how we approach complex data problems across numerous sectors. These algorithms excel at creating powerful predictive models by combining multiple weak learners.

Machine Learning 195

Machine Learning Machine Learning Algorithm ML 195

Data Science Dojo

AUGUST 19, 2024

The demand for AI scientist is projected to grow significantly in the coming years, with the U.S. AI researcher role is consistently ranked among the highest-paying jobs, attracting top talent and driving significant compensation packages. Describe the backpropagation algorithm and its role in neural networks.

AI 364

AI AI Machine Learning Machine Learning 364

Pickl AI

JANUARY 21, 2025

Summary: Machine Learning algorithms enable systems to learn from data and improve over time. Key examples include Linear Regression for predicting prices, Logistic Regression for classification tasks, and Decision Trees for decision-making. These intelligent predictions are powered by various Machine Learning algorithms.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Data Science Dojo

MAY 27, 2024

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. These methodologies represent distinct paradigms in AI, each with unique capabilities and applications. What is Generative AI?

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

IBM Journey to AI blog

APRIL 13, 2023

If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model. Building ML infrastructure and integrating ML models with the larger business are major bottlenecks to AI adoption [1,2,3]. Db2 will deal with both issues natively.

Decision Trees 105

Decision Trees ML ML Database 105

Dataconomy

APRIL 17, 2025

Explainable AI is transforming how we view artificial intelligence systems, specifically regarding their decision-making processes. As AI continues to permeate various sectors, the need for understanding how these systems arrive at specific outcomes grows ever more critical. What is explainable AI?

AI 91

AI AI Decision Trees Algorithm 91

Towards AI

NOVEMBER 6, 2024

Last Updated on November 6, 2024 by Editorial Team Author(s): Talha Nazar Originally published on Towards AI. This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily. CatBoost is a powerful, gradient-boosting algorithm designed to handle categorical data effectively.

Cross Validation 109

Cross Validation Decision Trees Algorithm Machine Learning 109

Data Science Dojo

AUGUST 27, 2024

Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case. Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case.

Data Scientist 273

Data Scientist Data Science Machine Learning Machine Learning 273

Towards AI

JUNE 19, 2024

Last Updated on June 22, 2024 by Editorial Team Author(s): Frederik Holtel Originally published on Towards AI. 👇🏽 Interactive decision tree plotter. An algorithm is making choices about where to split the space. An algorithm is making choices about where to split the space. Source: The author.

Decision Trees 70

Decision Trees Algorithm Machine Learning Machine Learning 70

Pickl AI

JUNE 2, 2023

One of the most popular algorithms in Machine Learning are the Decision Trees that are useful in regression and classification tasks. Decision trees are easy to understand, and implement therefore, making them ideal for beginners who want to explore the field of Machine Learning. How Decision Tree Algorithm works?

Decision Trees 52

Decision Trees Machine Learning Machine Learning Algorithm 52

Pickl AI

APRIL 13, 2025

Summary: Classifier in Machine Learning involves categorizing data into predefined classes using algorithms like Logistic Regression and Decision Trees. Classifiers are algorithms designed to perform this task efficiently, helping industries solve problems like spam detection, fraud prevention, and medical diagnosis.

Machine Learning 52

Machine Learning Machine Learning Decision Trees K-nearest Neighbors 52

Pickl AI

FEBRUARY 10, 2025

By combining it with heuristics and Machine Learning, developers achieve faster, deeper searches, enabling robust, real-time AI performance across complex game and planning scenarios. By focusing only on promising options, it helps AI systems arrive at better outcomes more quickly. What is Minimax?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Decision Trees Machine Learning 52

Pickl AI

AUGUST 16, 2023

In the world of Machine Learning and Data Analysis , decision trees have emerged as powerful tools for making complex decisions and predictions. These tree-like structures break down a problem into smaller, manageable parts, enabling us to make informed choices based on data. What is a Decision Tree?

Decision Trees 52

Decision Trees Algorithm Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 2, 2025

It identifies hidden patterns in data, making it useful for decision-making across industries. Compared to decision trees and SVM, it provides interpretable rules but can be computationally intensive. For instance, a classification algorithm could predict whether a transaction is fraudulent or not based on various features.

Data Mining 52

Data Mining Data Mining Data Mining Decision Trees 52

IBM Journey to AI blog

AUGUST 9, 2024

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. But generative AI is not predictive AI. But generative AI is not predictive AI. What is generative AI? What is predictive AI?

AI 120

AI AI Decision Trees Algorithm 120

Data Science Dojo

AUGUST 27, 2024

Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case. Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Towards AI

JULY 3, 2024

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. When it comes to the three best algorithms to use for spatial analysis, the debate is never-ending. Although practitioners’ tastes may differ, several algorithms are regularly preferred because of their strength, adaptability, and efficiency.

K-nearest Neighbors 101

K-nearest Neighbors Machine Learning Machine Learning Algorithm 101

Towards AI

OCTOBER 3, 2024

Last Updated on October 5, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. Instead, it leverages a combination of different algorithms — or even the same algorithm applied to varied data or configurations — to make smarter decisions. Join thousands of data leaders on the AI newsletter.

Decision Trees 111

Decision Trees Machine Learning Machine Learning Algorithm 111

Pickl AI

JANUARY 12, 2025

Summary: The article explores the differences between data driven and AI driven practices. The right approach is necessary to improve decisions and ensure your business remains competitive. Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Towards AI

JANUARY 11, 2024

Last Updated on January 12, 2024 by Editorial Team Author(s): Davide Nardini Originally published on Towards AI. In this article, I’ve covered one of the most famous classification and regression algorithms in machine learning, namely the Decision Tree. Join thousands of data leaders on the AI newsletter.

Machine Learning 130

Machine Learning Machine Learning Decision Trees Supervised Learning 130

Towards AI

SEPTEMBER 30, 2024

Last Updated on September 30, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. So, instead of relying on one model to do all the work, you decide to use Gradient Boosting, an algorithm that cleverly combines the predictions of multiple models to get closer to the truth. Published via Towards AI

Decision Trees 116

Decision Trees Machine Learning Machine Learning Algorithm 116

Towards AI

JULY 15, 2024

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code.

Machine Learning 116

Machine Learning Machine Learning Algorithm K-nearest Neighbors 116

Towards AI

MARCH 28, 2023

Last Updated on March 30, 2023 by Editorial Team Author(s): Andrea Ianni Originally published on Towards AI. Explained from scratch, step by step Some time ago, I found myself having to explain the tree-based algorithms to a person who was into mathematics… but with zero knowledge of data science. Published via Towards AI

Decision Trees 52

Decision Trees Data Science Algorithm AI 52

Towards AI

SEPTEMBER 5, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Learn AI Together Community section! Featured Community post from the Discord Aman_kumawat_41063 has created a GitHub repository for applying some basic ML algorithms. AI poll of the week! Enjoy the read!

Algorithm 85

Algorithm ML ML Machine Learning 85

Towards AI

JANUARY 7, 2025

Author(s): Stephen Chege Originally published on Towards AI. Random Forests ensemble approach, which uses numerous decision trees, offers accurate and dependable forecasts even when working with heterogeneous data, such as crop health indicators, weather patterns, and soil quality. Published via Towards AI

Decision Trees 98

Decision Trees Algorithm Machine Learning Machine Learning 98

Dataconomy

MAY 25, 2023

By leveraging advanced algorithms and machine learning techniques, IoT devices can analyze and interpret data in real-time, enabling them to make informed decisions and take autonomous actions. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

Deep Learning 118

Deep Learning Deep Learning Algorithm ML 118

Dataconomy

OCTOBER 5, 2023

If you are interested in technology at all, it is hard not to be fascinated by AI technologies. Whether it’s pushing the limits of creativity with its generative abilities or knowing our needs better than us with its advanced analysis capabilities, many sectors have already taken a slice of the huge AI pie.

AI 136

AI AI Artificial Intelligence Artificial Intelligence 136

Data Science Dojo

JULY 7, 2023

This discipline takes raw data, deciphers it, and turns it into a digestible format using various tools and algorithms. Understanding algorithms is like mastering maps, with each algorithm offering different paths to solutions. Demand in AI, machine learning, and data analysis is soaring, with implications for both fields.

Data Science 195

Data Science Data Scientist Python Algorithm 195

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. Each algorithm is explained with its applications, strengths, and weaknesses, providing valuable insights for practitioners and enthusiasts in the field.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Data Science Dojo

JULY 23, 2024

Model Compatibility Most machine learning algorithms work with numerical data, making it essential to transform categorical variables into numerical values. Learn about 101 ML algorithms for data science with cheat sheets 5. Here are some key points highlighting the importance of categorical data in machine learning: 1.

Machine Learning 195

Machine Learning Machine Learning Algorithm ML 195

Pickl AI

AUGUST 28, 2024

Summary: This comprehensive guide covers the basics of classification algorithms, key techniques like Logistic Regression and SVM, and advanced topics such as handling imbalanced datasets. Classification algorithms are crucial in various industries, from spam detection in emails to medical diagnosis and customer segmentation.

Machine Learning 52

Machine Learning Machine Learning Algorithm K-nearest Neighbors 52

Dataconomy

MAY 7, 2025

Explainable AI (XAI) has gained significant attention in recent years as the complexity of artificial intelligence systems grows. As these systems become more integrated into decision-making processes, understanding how they arrive at conclusions is vital. What is explainable AI (XAI)?

AI 91

AI AI Decision Trees Artificial Intelligence 91

Towards AI

JULY 17, 2023

Last Updated on July 18, 2023 by Editorial Team Author(s): Muttineni Sai Rohith Originally published on Towards AI. Later on, we will train a classifier for Car Evaluation data, by Encoding the data, Feature extraction and Developing classifier model using various algorithms and evaluate the results. Happy to assist… Happy coding….

ML 98

ML ML Decision Trees Machine Learning 98

Dataconomy

JULY 18, 2023

Real-time quoting with AI is a powerful tool that can significantly advance manufacturing competitiveness. By leveraging artificial intelligence algorithms and data analytics, manufacturers can streamline their quoting process, improve accuracy, and gain a competitive edge in the market.

Algorithm 91

Algorithm Predictive Analytics AI AI 91

Dataconomy

OCTOBER 11, 2024

Two of AI’s most exciting and impactful branches are generative AI and predictive AI. What is generative AI? Generative AI , as the name suggests, focuses on creation. Think of it as the creative artist in the AI family. Imagine feeding an AI system thousands of landscape paintings.

AI 121

AI AI Decision Trees Artificial Intelligence 121

Towards AI

MAY 1, 2024

Last Updated on May 1, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. We shall look at various types of machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can call their libraries in R studios, including executing the code.

Machine Learning 95

Machine Learning Machine Learning K-nearest Neighbors Decision Trees 95