IBM Data Science in Practice

MARCH 13, 2023

In our previous blog, Fairness Explained: Definitions and Metrics , we discuss fairness definitions and fairness metrics through a real-world example. This blog focuses on pre-processing algorithms. Pre-processing algorithms involve modifying the dataset before training the model to remove or reduce the bias present in the data.

Machine Learning 130

Machine Learning Machine Learning Algorithm Data Scientist 130

Analytics Vidhya

AUGUST 6, 2024

Likewise, in mathematics and programming, getting factorial definition of a number requires a unique sequence of multiplication of a series of decrement positive integers. Introduction Suppose for instance that you are cooking a meal that will have a certain taste that you desire if only the sequence of processes is followed as expected.

Python 305

Python Analytics Analytics Algorithm 305

Dataconomy

APRIL 24, 2025

ML Interpretability is a crucial aspect of machine learning that enables practitioners and stakeholders to trust the outputs of complex algorithms. Unlike explainability, which aims to articulate the internal workings of an algorithm, interpretability concentrates on recognizing the significant features affecting model behavior.

ML 91

ML ML Algorithm Machine Learning 91

Towards AI

NOVEMBER 11, 2023

Just like looking for a time-efficient path in an unfamiliar route, Greedy Algorithms always select the next step that offers the most obvious and immediate benefit. Greedy Algorithms tend to choose the best option at each step, which gradually gives us a way to achieve the solution in a time-efficient approach.

Algorithm 122

Algorithm Python AI AI 122

Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence AI AI 111

Analytics Vidhya

DECEMBER 28, 2023

Further in this guide, you will explore temporal graphs in data science—definition, […] The post A Comprehensive Guide to Temporal Graphs in Data Science appeared first on Analytics Vidhya. They capture the temporal dependencies between entities and offer a robust framework for modeling and analyzing time-varying relationships.

Data Science 304

Data Science Analytics Analytics Algorithm 304

Dataconomy

APRIL 21, 2025

They influence the choice of algorithms and the structure of models. This includes converting categorical data into numerical values, which is often necessary for algorithms to work effectively. Definition and types of categorical data Categorical data can be classified into two primary types: nominal and ordinal.

Machine Learning 91

Machine Learning Machine Learning Algorithm Decision Trees 91

Dataconomy

APRIL 4, 2025

Definition and importance Convex optimization revolves around functions and constraints that exhibit specific properties. Definition of convex functions A function ( f(x) ) is convex if, for any two points ( x_1 ) and ( x_2 ), the following condition holds: [ f(tx_1 + (1-t)x_2) leq tf(x_1) + (1-t)f(x_2) text{ for all } t in [0, 1].

Machine Learning 91

Machine Learning Machine Learning Support Vector Machines Algorithm 91

Dataconomy

MARCH 11, 2025

The concept of a target function is an essential building block in the realm of machine learning, influencing how algorithms interpret data and make predictions. It is the mechanism that algorithms strive to approximate as they learn from provided data. Input (I): The data fed into the algorithm for analysis.

Machine Learning 91

Machine Learning Machine Learning Deep Learning Deep Learning 91

Towards AI

NOVEMBER 16, 2024

Keswani’s Algorithm introduces a novel approach to solving two-player non-convex min-max optimization problems, particularly in differentiable sequential games where the sequence of player actions is crucial. Keswani’s Algorithm: The algorithm essentially makes response function : maxy∈{R^m} f (.,

Algorithm 105

Algorithm ML ML AI 105

PyImageSearch

DECEMBER 23, 2024

These scenarios demand efficient algorithms to process and retrieve relevant data swiftly. This is where Approximate Nearest Neighbor (ANN) search algorithms come into play. ANN algorithms are designed to quickly find data points close to a given query point without necessarily being the absolute closest.

K-nearest Neighbors 112

K-nearest Neighbors Algorithm Deep Learning Deep Learning 112

Towards AI

JUNE 2, 2023

One such approach that emulates natural evolution is the genetic algorithm. A genetic algorithm is a metaheuristic that leverages the principles of natural selection and genetic inheritance to uncover near-optimal or optimal solutions. At the core of every genetic algorithm lies the concept of a chromosome.

Algorithm 98

Algorithm Python Computer Science Computer Science 98

Data Science Dojo

APRIL 20, 2023

However, with the rise of artificial intelligence, the definition of creativity is changing. In this article, we will discuss the impact of AI on art, including the definition of AI-generated art like Midjourney, the controversy surrounding its validity as “real” art, and its potential to revolutionize the art world.

AI 195

AI AI Algorithm Artificial Intelligence 195

PyImageSearch

APRIL 7, 2025

Mathematical Definition In an matrix, can be diagonalized and expressed in the following form: where: is an orthogonal matrix (i.e., ) is an diagonal matrix whose diagonal elements are non-negative real numbers (known as singular values). Figure 6: Image compression using the SVD algorithm (source: ScienceDirect ).

Algorithm 101

Algorithm Deep Learning Deep Learning Python 101

Dataconomy

APRIL 21, 2025

Definition of classification threshold A classification threshold is a specific value used as a cutoff point, where predicted probabilities generated by a model are transformed into discrete class labels. Development of customized algorithms aimed at specific use cases.

Machine Learning 91

Machine Learning Machine Learning Algorithm 91

Dataconomy

APRIL 4, 2025

Definition of decision trees A decision tree is a graphical representation of possible solutions to a problem based on certain conditions. Learning process in decision trees The learning process in decision trees relies on recursive partitioning, where the algorithm repeatedly divides the dataset into smaller and more homogeneous subsets.

Decision Trees 91

Decision Trees Machine Learning Machine Learning Algorithm 91

Dataconomy

APRIL 17, 2025

Feature engineering encompasses a variety of techniques aimed at converting raw data into informative features that machine learning algorithms can utilize efficiently. High-quality features allow algorithms to recognize patterns and correlations in data more effectively. What is feature engineering?

Machine Learning 91

Machine Learning Machine Learning Data Scientist Algorithm 91

Dataconomy

APRIL 17, 2025

Definition At its core, a reasoning engine’s primary role is to analyze data and derive insights through logical inference. Knowledge base Definition: This is the organized repository that contains the essential facts, rules, and relationships necessary for effective reasoning.

Machine Learning 91

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 91

Dataconomy

MARCH 21, 2025

Definition and significance of NLP Natural Language Processing is a subset of AI that combines computational linguistics and advanced algorithms to facilitate human-computer interaction. Algorithm development The choice between rule-based and machine learning algorithms is crucial in NLP.

Natural Language Processing 103

Natural Language Processing Deep Learning Deep Learning Machine Learning 103

Hacker News

MAY 24, 2024

We present a new hybrid digital-analog algorithm for training neural networks that is equivalent to NGD in a certain parameter regime but avoids prohibitively costly linear system solves. Our algorithm exploits the thermodynamic properties of an analog system at equilibrium, and hence requires an analog thermodynamic computer.

Algorithm 131

Algorithm 131

AWS Machine Learning Blog

NOVEMBER 15, 2023

Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model. An AutoML tool applies a combination of different algorithms and various preprocessing techniques to your data. The following screenshot shows the top rows of the dataset.

Algorithm 119

Algorithm AWS ML ML 119

Dataconomy

APRIL 24, 2025

Definition and overview Masked language models utilize a unique training technique where random tokens in a text are replaced with a masked symbol. Advanced algorithms: They play a key role in enhancing the capabilities of NLP algorithms, enabling more complex tasks.

Natural Language Processing 91

Natural Language Processing Algorithm AI AI 91

Dataconomy

APRIL 21, 2025

Role of hyperparameters in models Definition: External controls that shape model operations. Understanding hyperparameters The nature of hyperparameters varies; some are unique to specific models, while others are commonly applicable across various algorithms. Identifying these parameters is vital for efficient tuning.

Machine Learning 91

Machine Learning Machine Learning Algorithm 91

Dataconomy

APRIL 3, 2025

TreeSHAP, an innovative algorithm rooted in game theory, is transforming how we interpret predictions generated by tree-based machine learning models. Definition and overview SHAP provides a unified measure of feature contributions, allowing for clearer insights into how each feature influences a model’s predictions.

Machine Learning 91

Machine Learning Machine Learning Data Scientist Data Analyst 91

Dataconomy

MARCH 11, 2025

Definition of validation dataset A validation dataset is a separate subset used specifically for tuning a model during development. Exploring alternative algorithms Experimenting with different algorithms can uncover more effective modeling techniques. Quality data is paramount for reliable predictions.

Cross Validation 91

Cross Validation Predictive Analytics Algorithm Data Scientist 91

ML @ CMU

APRIL 23, 2025

The paper analyzes two families of self-improvement algorithms: one based on supervised fine-tuning (SFT) and one on reinforcement learning (RLHF). They develop a sound algorithm that identifies both causal relationships and selection mechanisms, demonstrating its effectiveness through experiments on both synthetic and real-world data.

Algorithm 170

Algorithm Machine Learning Machine Learning AI 170

Dataconomy

MARCH 4, 2025

By embedding curiosity into algorithms, we can develop AI systems that not only process data but also actively seek out knowledge gaps, enhancing their learning and decision-making capabilities in unprecedented ways. Curiosity Artificial Intelligence (Curiosity AI) is at the forefront of a transformative shift in the capabilities of machines.

AI 91

AI AI Artificial Intelligence Artificial Intelligence 91

AWS Machine Learning Blog

FEBRUARY 25, 2025

Instead of relying on predefined, rigid definitions, our approach follows the principle of understanding a set. Its important to note that the learned definitions might differ from common expectations. Instead of relying solely on compressed definitions, we provide the model with a quasi-definition by extension.

Algorithm 81

Algorithm Machine Learning Machine Learning K-nearest Neighbors 81

Data Science Dojo

SEPTEMBER 8, 2023

It replaces complex algorithms with neural networks, streamlining and accelerating the predictive process. ML encompasses a range of algorithms that enable computers to learn from data without explicit programming. Techniques Uses statistical models, machine learning algorithms, and data mining.

Predictive Analytics 243

Predictive Analytics Analytics Analytics Deep Learning 243

Dataconomy

JULY 10, 2023

Harnessing a seamless user-interface coupled with sophisticated algorithms, Remini doesn’t just elevate your photo quality; it can restore your favorite faded memories, transform old photographs, and even roll out a plethora of fun AI filters. :?? ︎ | ?????????? 1InfamousAmber) July 9, 2023 How to use Remini baby AI generator?

AI 222

AI AI Artificial Intelligence Artificial Intelligence 222

Towards AI

JANUARY 2, 2024

In this article, I will introduce you to Computer Vision, explain what it is and how it works, and explore its algorithms and tasks.Foto di Ion Fet su Unsplash In the realm of Artificial Intelligence, Computer Vision stands as a fascinating and revolutionary field. Healthcare, Security, and more. Healthcare, Security, and more.

Natural Language Processing 122

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 122

Dataconomy

APRIL 24, 2025

Definition and functionality of LLMs Large language models utilize advanced algorithms to process and generate text, which can mimic human comprehension and articulation. Understanding large language models (LLMs) To fully appreciate the LLM playground, it’s crucial to understand what large language models are.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Data Analysis Data Analysis 91

Towards AI

APRIL 16, 2025

To improve the quality of the region definition, we can use a GMM with multiple components. Although this offers an initial approximation, we can notice that the elliptical shape is not the best match for the distribution of data we have. Source: Image by the author. Source: Image by the author.

Clustering 103

Clustering Machine Learning Machine Learning Algorithm 103

FlowingData

JUNE 20, 2024

Neven Mrgan describes what it was like to get an AI-generated email from a friend : I knew that I didn’t want an algorithm to design layouts and draw illustrations “so I don’t have to,” but prior to this email, I never even pondered whether I wanted AI to call me up on behalf of people in my life.

AI 119

AI AI Algorithm 119

Dataconomy

MARCH 6, 2025

Definition and concept of edge AI Edge AI combines advanced algorithms with localized processing capabilities, enabling devices to analyze data on-site. By integrating city-scale data centers with localized devices, Edge AI can support a range of applications, from autonomous vehicles to smart home devices.

AI 91

AI AI Artificial Intelligence Artificial Intelligence 91

Dataconomy

MARCH 21, 2025

Base model training Next, each bootstrap sample undergoes independent training with base models, which can be decision trees or other machine learning algorithms. Definition and purpose The Bagging Regressor is an application of the bagging method designed for regression analysis.

Machine Learning 91

Machine Learning Machine Learning Decision Trees Algorithm 91

Dataconomy

MARCH 17, 2025

Through various statistical methods and machine learning algorithms, predictive modeling transforms complex datasets into understandable forecasts. Definition and overview of predictive modeling At its core, predictive modeling involves creating a model using historical data that can predict future events.

Decision Trees 91

Decision Trees Predictive Analytics Data Preparation Machine Learning 91