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. The challenge demonstrated the intersection of sports and data science by combining real-world datasets with predictive modeling.

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Cross Validation Decision Trees Data Scientist Data Science 85

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. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

Data Science 52

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Towards AI

SEPTEMBER 30, 2024

Last Updated on September 30, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. Unlike other algorithms, which rely on a single model to make predictions, Gradient Boosting uses a series of weak models (often decision trees), each learning from the mistakes of the one before it.

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Decision Trees Machine Learning Machine Learning Algorithm 116

Towards AI

OCTOBER 3, 2024

Last Updated on October 5, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. Join thousands of data leaders on the AI newsletter. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re trying to guess how many jelly beans are in a jar.

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Decision Trees Machine Learning Machine Learning Algorithm 111

Towards AI

DECEMBER 18, 2024

Last Updated on December 18, 2024 by Editorial Team Author(s): Mukundan Sankar Originally published on Towards AI. You're not ready for neural networks if you cant explain Linear Regression or Decision Trees. Stop Overthinking and Start Building Models with Real-World Datasets This member-only story is on us.

Machine Learning 98

Machine Learning Machine Learning Decision Trees Deep Learning 98

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.

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K-nearest Neighbors Machine Learning Machine Learning Decision Trees 98

Towards AI

MARCH 28, 2024

Last Updated on March 29, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. Back when I started learning ML, some of my professors would simply throw a formula on the screen and tell us “This is the loss function for a decision tree” and that was it. It can be very hard!

Machine Learning 98

Machine Learning Machine Learning Decision Trees ML 98

ODSC - Open Data Science

OCTOBER 23, 2024

ODSC West is right around the corner, promising an impressive lineup of industry leaders who will cover cutting-edge developments in AI, machine learning, and data science. Whether you are scaling your models or looking for ways to enhance predictive accuracy, this session will offer valuable guidance for data science professionals.

Data Science 40

Data Science Data Scientist AI AI 40

Towards AI

FEBRUARY 6, 2024

Last Updated on February 7, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. Context & Problem Statement from the Kaggle website: Welcome to the year 2912, where your data science skills are needed to solve a cosmic mystery. Click Here to see the project details.

Machine Learning 119

Machine Learning Machine Learning Decision Trees Algorithm 119

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. What makes it popular is that it is used in a wide variety of fields, including data science, machine learning, and computational physics. Not a bad list right?

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Python K-nearest Neighbors Data Science Data Visualization 52

Towards AI

MARCH 17, 2024

Last Updated on March 18, 2024 by Editorial Team Author(s): Joseph George Lewis Originally published on Towards AI. With applications in all the same places as plain old AI, XAI has a tangible role in promoting trust and transparency and enhancing user experience in data science and artificial intelligence.

AI 105

AI AI Decision Trees Artificial Intelligence 105

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. In the Hindcast Stage —the first stage of the challenge—participants developed forecast models that were evaluated against 10 years of held out historical data. Image courtesy of USBR.

Cross Validation 130

Cross Validation Machine Learning Machine Learning ML 130

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.

Algorithm 103

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

Towards AI

FEBRUARY 20, 2024

Last Updated on February 20, 2024 by Editorial Team Author(s): Vaishnavi Seetharama Originally published on Towards AI. Linear Regression Decision Trees Support Vector Machines Neural Networks Clustering Algorithms (e.g., You might be using machine learning algorithms from everything you see on OTT or everything you shop online.

Machine Learning 109

Machine Learning Machine Learning ML ML 109

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. Previously worked in various tech companies in Indonesia.

Cross Validation 147

Cross Validation Machine Learning Machine Learning ML 147

PyImageSearch

OCTOBER 21, 2024

Figure 3: Isolation Forest isolates anomalies by randomly selecting a feature and splitting the data (source: Data Science Demystified ). Figure 4: Isolation Tree is a binary tree structure built by recursively partitioning the data (source: Data Science Demystified ). What's next? Raha, and P.

Algorithm 113

Algorithm Deep Learning Deep Learning Data Preparation 113

Mlearning.ai

AUGUST 20, 2023

Decision Trees and Random Forests are scale-invariant. 2019) Data Science with Python. WRITER at MLearning.ai / 800+ AI plugins / AI Searching 2024 Mlearning.ai Feature scaling ensures that each feature has an effect on a model’s prediction. For most algorithms, feature scaling is an important pre-processing step.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

NOVEMBER 28, 2024

billion in 2024, at a CAGR of 10.7%. R and Other Languages While Python dominates, R is also an important tool, especially for statistical modelling and data visualisation. Decision Trees These trees split data into branches based on feature values, providing clear decision rules.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AssemblyAI

NOVEMBER 9, 2023

AssemblyAI's Summarization Model Results: Bias and Variance Explained Bias and variants are two of the most important topics when it comes to data science. Fitting variants show us the sensitivity of the model on the training data. This video is brought to you by AssemblyAI and is part of our Deep Learning Explained series.

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AI AI Machine Learning Machine Learning 102