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. This member-only story is on us.

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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. Before we start, please consider following me on Medium or LinkedIn.

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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. This member-only story is on us.

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Ocean Protocol

NOVEMBER 28, 2024

Introduction The Formula 1 Prediction Challenge: 2024 Mexican Grand Prix brought together data scientists to tackle one of the most dynamic aspects of racing — pit stop strategies. 2024 Championship Our challenges offer prize pools from $10,000 to $20,000, distributed among the top 10 participants.

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Flipboard

MAY 25, 2025

The analysis included 218 patients admitted to Qilu Hospital of Shandong University from July 2011 to April 2024. Feature selection via the Boruta and LASSO algorithms preceded the construction of predictive models using Random Forest, Decision Tree, K-Nearest Neighbors, Support Vector Machine, LightGBM, and XGBoost.

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K-nearest Neighbors Machine Learning Machine Learning Support Vector Machines 81

ODSC - Open Data Science

JUNE 9, 2025

level decreased around 280 times from November 2022 to October 2024. Alternatively, professionals could approximate it into a decision-tree-like framework. Humans Remain an Important Part of AI’s Future However lifelike an algorithm seems, it’s ultimately a tool. The inference cost for the system performing at the GPT-3.5

Data Science 52

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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

Towards AI

FEBRUARY 6, 2024

Last Updated on February 7, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. Through the integration of machine learning algorithms, this project aims to enhance the capabilities of the Spaceship Titanic, empowering it to navigate the cosmos with unprecedented efficiency and accuracy.

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Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. ML is a subset of AI, focusing on developing algorithms that enable computers to learn patterns from data.

Data Science 52

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Towards AI

JANUARY 26, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Shivamshinde Originally published on Towards AI. Examples of hyperparameters for algorithms Advantages and Disadvantages of hyperparameter tuning How to perform hyperparameter tuning?– kernel: This hyperparameter decides which kernel to be used in the algorithm.

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Towards AI

FEBRUARY 20, 2024

Last Updated on February 20, 2024 by Editorial Team Author(s): Vaishnavi Seetharama Originally published on Towards AI. Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms.

Machine Learning 103

Machine Learning Machine Learning ML ML 103

Towards AI

APRIL 4, 2024

Last Updated on April 4, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme.

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Towards AI

MAY 10, 2024

Last Updated on May 13, 2024 by Editorial Team Author(s): Cristian Rodríguez Originally published on Towards AI. Ensemble models can be generated using a single algorithm with numerous variations, known as a homogeneous ensemble, or by using different techniques, known as a heterogeneous ensemble [3].

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Pickl AI

DECEMBER 9, 2024

The global Machine Learning market is rapidly growing, projected to reach US$79.29bn in 2024 and grow at a CAGR of 36.08% from 2024 to 2030. This blog aims to clarify the concept of inductive bias and its impact on model generalisation, helping practitioners make better decisions for their Machine Learning solutions.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Natural Language Processing 52

PyImageSearch

OCTOBER 21, 2024

One such technique is the Isolation Forest algorithm, which excels in identifying anomalies within datasets. In this tutorial, you will learn how to implement a predictive maintenance system using the Isolation Forest algorithm — a well-known algorithm for anomaly detection. And Why Anomaly Detection?

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Dataconomy

APRIL 4, 2024

From deterministic software to AI Earlier examples of “thinking machines” included cybernetics (feedback loops like autopilots) and expert systems (decision trees for doctors). Whatever the case, by 2024, humans are the input on which things are trained, and provide the feedback on output quality that is used to improve it.

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Algorithm AI AI Decision Trees 103

Ocean Protocol

MAY 2, 2024

His predictive models showed an impressive accuracy rate, with the Decision Tree Classifier achieving a classification accuracy of 98% and a recall rate of 97%, highlighting its effectiveness in identifying potentially successful startups based on early-stage data inputs.

Data Scientist 105

Data Scientist Decision Trees Analytics Analytics 105

ODSC - Open Data Science

JANUARY 5, 2024

Top Python Libraries of 2023 and 2024 NumPy NumPy is the gold standard for scientific computing in Python and is always considered amongst top Python libraries. Scikit-learn A machine learning powerhouse, Scikit-learn provides a vast collection of algorithms and tools, making it a go-to library for many data scientists.

Python 52

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DrivenData Labs

MAY 22, 2024

Results of the Hindcast Stage ¶ The Water Supply Forecast Rodeo is being held over multiple stages from October 2023 through July 2024. Tree-based models were popular but not exclusive. There are two model architectures underlying the solution, both based on the Catboost implementation of gradient boosting on decision trees.

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Towards AI

MARCH 17, 2024

Last Updated on March 18, 2024 by Editorial Team Author(s): Joseph George Lewis Originally published on Towards AI. Interpretability — Explaining the meaning of a model/model decisions to humans. Photo by Growtika on Unsplash Everyone knows AI is experiencing an explosion of media coverage, research, and public focus.

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DagsHub

APRIL 21, 2024

Autonomous Vehicles: Automotive companies are using ML models for autonomous driving systems including object detection, path planning, and decision-making algorithms. This is the reason why data scientists need to be actively involved in this stage as they need to try out different algorithms and parameter combinations.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

DrivenData Labs

JANUARY 22, 2025

Solvers first developed their solutions on historical data in the Hindcast Stage, which concluded in spring 2024. This blog post presents the winners of all remaining stages: Forecast Stage where models made near-real-time forecasts for the 2024 forecast season. What motivated you to compete in this challenge?

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Pickl AI

FEBRUARY 7, 2025

ML algorithms use statistical methods to identify patterns in data, allowing systems to make predictions or decisions without human intervention. Basic Concepts of Machine Learning Machine Learning revolves around training algorithms to learn from data. billion in 2024 and is expected to reach approximately USD 1420.29

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Ocean Protocol

MARCH 11, 2024

METAR, Miami International Airport (KMIA) on March 9, 2024, at 15:00 UTC In the recently concluded data challenge hosted on Desights.ai , participants used exploratory data analysis (EDA) and advanced artificial intelligence (AI) techniques to enhance aviation weather forecasting accuracy. Unlike other platforms, data scientists keep the IP.

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Pickl AI

NOVEMBER 12, 2024

According to a recent report, the global embedded AI market is projected to reach US$826.70bn in 2030, growing at a compound annual growth rate (CAGR) of 28.46% from 2024 to 2030. They provide a comprehensive environment for designing algorithms, simulating their performance, and generating code for deployment on various hardware platforms.

AI 52

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Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. billion in 2024, at a CAGR of 10.7%.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

OCTOBER 24, 2024

To mention some facts, the AI market soared to $184 billion in 2024 and is projected to reach $826 billion by 2030. Key Takeaways Scope and Purpose : Artificial Intelligence encompasses a broad range of technologies to mimic human intelligence, while Machine Learning focuses explicitly on algorithms that enable systems to learn from data.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

ODSC - Open Data Science

OCTOBER 23, 2024

Matt Harrison’s Talk: Machine Learning with XGBoost XGBoost is one of the most widely used machine learning algorithms today, known for its speed and accuracy in decision tree-based models. This session will focus on how compound AI systems, which combine multiple models and algorithms, are the future of AI.

Data Science 40

Data Science Data Scientist AI AI 40

Mlearning.ai

AUGUST 20, 2023

Before we feed data into a learning algorithm, we need to make sure that we pre-process the data. Many Machine Learning algorithms don’t work with missing data. Handling categorical data Most machine learning algorithms cannot handle categorical data. For most algorithms, feature scaling is an important pre-processing step.

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Mlearning.ai

OCTOBER 2, 2023

Supervised vs. Unsupervised Learning Supervised learning means that you’re going to use labeled data to train algorithms and predict outputs for new, unseen data. In other words, without telling the algorithm what’s good and what’s not, i.e., features are selected without reference to a target variable. Here’s the overview.

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Machine Learning Machine Learning Supervised Learning Algorithm 98

DagsHub

SEPTEMBER 16, 2024

By identifying these details, developers can adjust the learning rate, activation functions, or optimization algorithms for the model. LIME can help improve model transparency, build trust, and ensure that models make fair and unbiased decisions by identifying the key features that are more relevant in prediction-making.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AssemblyAI

NOVEMBER 9, 2023

Taking this intuition further, we might consider the TextRank algorithm. Google uses an algorithm called PageRank in order to rank web pages in their search engine results. High variance means overfitting models with high flexibility tend to have high variance like decision trees.

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ML @ CMU

DECEMBER 2, 2024

Carnegie Mellon University is proud to present 194 papers at the 38th conference on Neural Information Processing Systems (NeurIPS 2024), held from December 10-15 at the Vancouver Convention Center.

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