Towards AI

JANUARY 11, 2024

Last Updated on January 12, 2024 by Editorial Team Author(s): Davide Nardini Originally published on Towards AI. Arguably, one of the most important concepts in machine learning is classification. This article will illustrate the difference between classification and regression in machine learning.

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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. But what if we could predict a student’s engagement level before they begin?

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Towards AI

DECEMBER 18, 2024

Last Updated on December 18, 2024 by Editorial Team Author(s): Mukundan Sankar Originally published on Towards AI. Photo by Mahdis Mousavi on Unsplash Do you want to get into machine learning? I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this!

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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. Created by the author with DALL E-3 R has become very ideal for GIS, especially for GIS machine learning as it has topnotch libraries that can perform geospatial computation.

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Towards AI

FEBRUARY 6, 2024

Last Updated on February 7, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. Photo by SpaceX on Unsplash Spaceship Titanic — A Machine Learning Project It is an innovative venture that combines cutting-edge technology with the boundless possibilities of space exploration.

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Data Science Dojo

AUGUST 19, 2024

These professionals venture into new frontiers like machine learning, natural language processing, and computer vision, continually pushing the limits of AI’s potential. What is the bias-variance trade-off, and how do you address it in machine learning models?

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Towards AI

MARCH 28, 2024

Last Updated on March 29, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. The secrets no one tells you but make learning ML a lot easier and enjoyable. There is a lot of scary math and code you need to understand to learn machine learning. It can be very hard!

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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. The result is a decision tree. Doesn’t look like a tree to you? Maybe this one is more familiar: A decision tree in its extensive form.

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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.

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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. As we move into 2024, understanding the key algorithms that drive Machine Learning is essential for anyone looking to work in this field.

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Mlearning.ai

OCTOBER 2, 2023

Learn how to use them to avoid the biggest scare in ML: overfitting and underfitting. Photo by Arseny Togulev on Unsplash If you’re working with a dataset and trying to build a machine learning model, you probably don’t need all the data and columns that feed into your model. Here’s the overview.

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Flipboard

MAY 25, 2025

This retrospective study leverages machine learning to determine the optimal timing for fracture reconstruction surgery in polytrauma patients, focusing on those with concomitant traumatic brain injury. The analysis included 218 patients admitted to Qilu Hospital of Shandong University from July 2011 to April 2024.

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Towards AI

OCTOBER 3, 2024

Last Updated on October 5, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. This principle of collective intelligence — the “wisdom of the crowd” — is the foundation of Ensemble Learning in machine learning. The real power of Ensemble Learning comes from diversity.

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Towards AI

AUGUST 5, 2024

Last Updated on August 7, 2024 by Editorial Team Author(s): Sarah Lea Originally published on Towards AI. comparison method, cost approach or expert evaluation), machine learning and deep learning models offer new alternatives. How can we estimate the price of objects such as used cars as accurately as possible?

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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

SEPTEMBER 30, 2024

Last Updated on September 30, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. At its core, Gradient Boosting is a powerful machine learning technique used for regression and classification tasks. This member-only story is on us. Upgrade to access all of Medium. Seems simple enough, right?

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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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Pickl AI

DECEMBER 9, 2024

Summary: Inductive bias in Machine Learning refers to the assumptions guiding models in generalising from limited data. Introduction Understanding “What is Inductive Bias in Machine Learning?” ” is crucial for developing effective Machine Learning models.

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ODSC - Open Data Science

OCTOBER 28, 2024

Since there was a massive data breach in 2024 that compromised 2.9 Whether businesses use pattern matching, machine learning (ML), or forecasting, their approach will outperform conventional rule-based systems. A machine learning decision tree can help data science professionals prevent synthetic identity theft.

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ODSC - Open Data Science

JUNE 9, 2025

level decreased around 280 times from November 2022 to October 2024. As individuals, humans have dramatically different learning styles and technical expertise. Typically, this is the longest stage in machine learning development. Alternatively, professionals could approximate it into a decision-tree-like framework.

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Pickl AI

FEBRUARY 7, 2025

Summary: Machine Learning and Deep Learning are AI subsets with distinct applications. Introduction In todays world of AI, both Machine Learning (ML) and Deep Learning (DL) are transforming industries, yet many confuse the two. What is Machine Learning? billion by 2030.

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Pickl AI

OCTOBER 24, 2024

Summary: This article compares Artificial Intelligence (AI) vs Machine Learning (ML), clarifying their definitions, applications, and key differences. While AI aims to replicate human intelligence across various domains, ML focuses on learning from data to improve performance. What is Machine Learning?

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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%.

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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 catalyses AI advancements, enabling systems to evolve and improve decision-making.

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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? quantile forecast.

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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. I saw this as an exciting opportunity to test and expand my machine learning skills in a practical, real-world setting. Image courtesy of USBR. quantile forecast.

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DagsHub

APRIL 21, 2024

Source: [link] Similarly, while building any machine learning-based product or service, training and evaluating the model on a few real-world samples does not necessarily mean the end of your responsibilities. MLOps tools play a pivotal role in every stage of the machine learning lifecycle. What is MLOps?

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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. It introduces a novel approach that combines the power of stacking ensemble machine learning with sophisticated image feature extraction techniques. For the meta-model, k-nearest neighbors were used again.

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Ocean Protocol

MAY 2, 2024

1st Place: Ahan Ahan stood out with his application of machine learning to analyze the venture capital landscape. 2024 Championship Each challenge features a prize pool of $10,000, distributed among the top 10 participants. He revealed that the median acquisition price among startups with disclosed values was approximately $72.6

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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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Towards AI

JANUARY 26, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Shivamshinde Originally published on Towards AI. Every type of machine learning and deep learning algorithm has a large number of hyperparameters. What is hyperparameter tuning?

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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.

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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. For example, which of these definitions fit a model like a decision tree which is explainable by design compared to a neural network using SHAP values to explain it’s predictions?

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PyImageSearch

OCTOBER 21, 2024

By leveraging machine learning techniques, businesses can significantly reduce downtime and maintenance costs, ensuring smoother and more efficient operations. For instance, if a machine usually operates within a certain temperature range, a sudden spike in temperature could be an anomaly, signaling a problem. What's next?

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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. Many of these speakers are familiar faces at past ODSC events or are regular contributors to major AI and tech conferences.

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Mlearning.ai

AUGUST 20, 2023

Photo by Bruno Nascimento on Unsplash Introduction Data is the lifeblood of Machine Learning Models. 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. 2019) Python Machine Learning.

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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. Simulink provides blocks specifically designed for AI functions, allowing you to incorporate Machine Learning or deep learning models seamlessly.

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