Analytics Vidhya

DECEMBER 30, 2022

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages.

Natural Language Processing 259

Natural Language Processing Analytics Analytics Computer Science 259

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.

K-nearest Neighbors 338

K-nearest Neighbors AI AI Supervised Learning 338

Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

Mlearning.ai

NOVEMBER 3, 2023

AI-generated image ( craiyon ) [link] Who By Prior And who by prior, who by Bayesian Who in the pipeline, who in the cloud again Who by high dimension, who by decision tree Who in your many-many weights of net Who by very slow convergence And who shall I say is boosting? I think I managed to get most of the ML players in there…??

Machine Learning 98

Machine Learning Machine Learning Decision Trees Deep Learning 98

Pickl AI

JANUARY 29, 2024

Join me on this journey as we unravel the intricacies of 2024’s tech revolution, exploring the realms of data, intelligence, and the opportunity for growth, including a special mention of a free Machine Learning course. ML catalyses AI advancements, enabling systems to evolve and improve decision-making. billion by 2029.

Data Science 52

Data Science ML ML Machine Learning 52

Dataconomy

JUNE 13, 2023

In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights.

Power BI 103

Power BI Artificial Intelligence Artificial Intelligence Data Analysis 103

Dataconomy

OCTOBER 5, 2023

Artificial intelligence, one of the most talked about topics in today’s technology world, has played a huge role in bringing many things into our lives, especially in the last five years. But does that mean artificial intelligence is perfect? With the model selected, the initialization of parameters takes place.

AI 136

AI AI Artificial Intelligence Artificial Intelligence 136

Mlearning.ai

FEBRUARY 17, 2023

Basically, Machine learning is a part of the Artificial intelligence field, which is mainly defined as a technic that gives the possibility to predict the future based on a massive amount of past known or unknown data. ML algorithms can be broadly divided into supervised learning , unsupervised learning , and reinforcement learning.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

Towards AI

AUGUST 5, 2023

Photo by Ed Robertson on Unsplash The Gini index is a popular tool within Data Science that is responsible for deciding how decision trees split. How the Gini index from economics is now a crucial concept for machine learning This member-only story is on us. Upgrade to access all of Medium.

Machine Learning 82

Machine Learning Machine Learning Decision Trees Data Science 82

Towards AI

MARCH 17, 2024

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. This article builds on the work of the XAI community. Would one be transparent but not understandable or explainable but not interpretable?

AI 96

AI AI Decision Trees Artificial Intelligence 96

Mlearning.ai

MARCH 13, 2023

Photo by Andy Kelly on Unsplash Choosing a machine learning (ML) or deep learning (DL) algorithm for application is one of the major issues for artificial intelligence (AI) engineers and also data scientists. Here I wan to clarify this issue.

Machine Learning 52

Machine Learning Machine Learning Algorithm Support Vector Machines 52

Data Science Dojo

JUNE 9, 2023

The program’s curriculum is comprehensive and covers all the essential topics in data science, including data exploration and visualization, decision tree learning, predictive modeling, and linear models for regression. The program’s curriculum includes modules in machine learning and deep learning and artificial intelligence.

Data Science 370

Data Science Machine Learning Machine Learning Data Scientist 370

Mlearning.ai

APRIL 6, 2023

For example, if you have binary or categorical data, you may want to consider using algorithms such as Logistic Regression, Decision Trees, or Random Forests. For non-normal or skewed data, algorithms such as Decision Trees or SVM may be more appropriate. ⚠ Bonus tip ⚠ Always start with KNN!!!!!!! .

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Towards AI

OCTOBER 4, 2023

Weak learners or base models: These are the different algorithms used in a collection of machine learning base models in the ensemble, these models can be logistic regression, SVM, decision trees, linear regression, random forest, etc.

Decision Trees 52

Decision Trees Machine Learning Machine Learning Python 52

Dataconomy

FEBRUARY 16, 2024

As far as technological advancements go, Artificial Intelligence (AI) has undoubtedly been one of the greatest. Ranging from voice synthesis, image analysis, sentiment analysis, expert systems, and other novel creations, AI is transforming the workflow of the world using its prowess in numerous fields.

AI 103

AI AI Support Vector Machines Decision Trees 103

Smart Data Collective

JULY 1, 2023

We have mentioned that advances in Artificial intelligence have significantly changed the quality of images recently. This he’s just one of the many ways that artificial intelligence has significantly improved outcomes that rely on visual media.

Cross Validation 64

Cross Validation AI AI Machine Learning 64

Pickl AI

JULY 14, 2023

Artificial Intelligence has been able to gain immense momentum today and is transforming every industry in the world. Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

NOVEMBER 30, 2023

It uses data mining techniques like decision trees and rule-based systems to generate correct responses. It is a type of transparency that will hold medical professionals and data scientists to new standards while humanity develops a better relationship with artificial intelligence.

AI 94

AI AI Data Scientist Decision Trees 94

Smart Data Collective

SEPTEMBER 16, 2020

These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness. Data Sourcing.

Predictive Analytics 122

Predictive Analytics Analytics Analytics Decision Trees 122

Dataconomy

JULY 18, 2023

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

AI 91

AI AI Algorithm Predictive Analytics 91

ODSC - Open Data Science

MARCH 29, 2024

You didn’t mention to them that the scorecard you built uses decision trees to strategically bin the variables in the model, you calculated the weight of evidence values for each of these bins and then inputted all of that into a logistic regression model with a high model performance.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Smart Data Collective

JUNE 7, 2019

For centuries before the existence of computers, humans have imagined intelligent machines that were capable of making decisions autonomously. At the early era of Artificial Intelligence, programmers tried to teach machines from the definition of logical rules that the machine itself could extend during the execution of the program.

Machine Learning 78

Machine Learning Machine Learning Supervised Learning Artificial Intelligence 78

Pickl AI

APRIL 3, 2023

Accordingly, Examples of Supervised learning include linear regression, logistic regression , decision trees, random forests and neural networks. It includes various algorithms like linear regression, logistic regression, decision trees, bayesian logic, etc. Comparatively, no input is taken by unsupervised learning.

Supervised Learning 52

Supervised Learning Machine Learning Machine Learning Clustering 52

How to Learn Machine Learning

DECEMBER 4, 2022

In recent years, artificial intelligence (AI) has made significant advances in its ability to complete various tasks that were once thought to be exclusive to humans. Programming a computer with artificial intelligence (Ai) allows it to make decisions on its own. This includes the ability to write code.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Chatbots Life

MAY 16, 2023

Simple chatbots without generative AI integration rely on pre-programmed responses and rule-based decision trees to guide their interactions with users. Focused on forging engaging voice and text-based conversational interfaces powered by Artificial Intelligence.

AI 97

AI AI Natural Language Processing Artificial Intelligence 97

Flipboard

NOVEMBER 21, 2023

MATLAB   is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. You can set up and train a simple decision tree classifier locally. This allows you to quickly iterate and debug the model.

Machine Learning 116

Machine Learning Machine Learning AWS Decision Trees 116

DrivenData Labs

MAY 24, 2023

He has a keen interest in the application of artificial intelligence in various fields of healthcare, including genomics and trial emulation. Summary of approach: Our solution for Phase 1 is a gradient boosted decision tree approach with a lot of feature engineering. We trained one LightGBM model per airport.

Machine Learning 225

Machine Learning Machine Learning Decision Trees Data Science 225

IBM Journey to AI blog

SEPTEMBER 5, 2023

However, more advanced chatbots can leverage artificial intelligence (AI) and natural language processing (NLP) to understand a user’s input and navigate complex human conversations with ease. Essentially, these chatbots operate like a decision tree. However, this system is evolving with artificial intelligence.

Decision Trees 57

Decision Trees AI AI Artificial Intelligence 57

Dataconomy

FEBRUARY 26, 2024

Could artificial intelligence (AI) be the answer to a devastating disease like Alzheimer’s? New research suggests that the answer may be a resounding yes. Alzheimer’s disease is a progressive neurodegenerative disorder that slowly erodes memory, thinking skills, and the ability to perform everyday tasks.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Decision Trees Algorithm 103

Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. Maybe it’s a neural network or a decision tree. For instance, with a decision tree, you can actually visualize the decision paths.

AI 52

AI AI Machine Learning Machine Learning 52

Mlearning.ai

APRIL 4, 2023

Financial applications, especially Credit Risk Modelling, have benefited significantly from the use of Machine Learning (and Artificial Intelligence, to a degree). It addresses their demand for high-quality data insights and high-volume processing.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Artificial Intelligence systems are known for their remarkable performance in image classification, object detection, image segmentation, and more.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

Machine Learning 64

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 64

ODSC - Open Data Science

AUGUST 15, 2023

You’ll get hands-on practice with unsupervised learning techniques, such as K-Means clustering, and classification algorithms like decision trees and random forest. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. They typically rely on simpler algorithms like decision trees, support vector machines, or linear regression. This process is known as machine learning or deep learning.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Defined.ai blog

AUGUST 10, 2023

Welcome to the world of financial data, where every digit has a story to tell, and Artificial Intelligence (AI) assumes the role of a compelling storyteller. With more companies shifting towards data-driven decision-making, understanding financial data and leveraging AI’s power has never been more crucial.

Business Intelligence 52

Business Intelligence Business Intelligence AI AI 52

Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. An AI model is a crucial part of artificial intelligence. What is an AI model?

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91