Towards AI

AUGUST 23, 2024

Fall in Love with Decision Trees with dtreeviz’s Visualization This member-only story is on us. Decision Trees, also known as CART (Classification and Regression Trees), are undoubtedly one of the most intuitive algorithms in the machine learning space, thanks to their simplicity. Why am I saying this?

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Towards AI

NOVEMBER 6, 2024

This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily. CatBoost is a powerful, gradient-boosting algorithm designed to handle categorical data effectively. CatBoost is part of the gradient boosting family, alongside well-known algorithms like XGBoost and LightGBM.

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Cross Validation Decision Trees Algorithm Machine Learning 114

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 algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world. What is Generative AI?

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Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. Understanding artificial intelligence Before diving into the process of creating AI, it is important to understand the key concepts and types of AI.

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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.

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Data Science Dojo

AUGUST 19, 2024

Business Benefits: Organizations are recognizing the value of AI and data science in improving decision-making, enhancing customer experiences, and gaining a competitive edge An AI research scientist acts as a visionary, bridging the gap between human intelligence and machine capabilities.

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Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. It equips you to build and deploy intelligent systems confidently and efficiently.

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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 Artificial Intelligence?

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Towards AI

OCTOBER 3, 2024

Instead, it leverages a combination of different algorithms — or even the same algorithm applied to varied data or configurations — to make smarter decisions. But here’s the twist: ensemble learning doesn’t just combine random models willy-nilly. The real power of Ensemble Learning comes from diversity.

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IBM Journey to AI blog

AUGUST 9, 2024

Predictive AI is its own class of artificial intelligence , and while it might be a lesser-known approach, it’s still a powerful tool for businesses. Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. But generative AI is not predictive AI.

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Pickl AI

DECEMBER 16, 2024

Introduction Artificial Intelligence (AI) is the simulation of human intelligence in machines, enabling them to perform tasks like learning, reasoning, and problem-solving. Understanding the prerequisites for Artificial Intelligence is crucial for organisations aiming to harness its full potential.

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Towards AI

SEPTEMBER 30, 2024

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. But here’s the catch — you don’t want to make just any prediction; you want the most accurate prediction possible.

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Towards AI

SEPTEMBER 5, 2024

Featured Community post from the Discord Aman_kumawat_41063 has created a GitHub repository for applying some basic ML algorithms. It offers pure NumPy implementations of fundamental machine learning algorithms for classification, clustering, preprocessing, and regression. Learn AI Together Community section!

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Dataversity

MAY 19, 2022

In my previous blog post, I described some concrete techniques and surveyed some early approaches to artificial intelligence (AI) and found that they still offer attractive opportunities for improving the user experience. The post What Can Artificial Intelligence Do for Me? Regression Analysis Regression […].

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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? The next critical step is model selection.

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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.

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Finance In finance, Data Science is critical in fraud detection, risk management, and algorithmic trading.

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Dataconomy

JUNE 13, 2023

Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights. Think of decision intelligence as a synergy between the human mind and cutting-edge algorithms.

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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. Explore algorithms: Research and explore different algorithms that are desired for your problem.

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Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. 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.

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Mlearning.ai

APRIL 6, 2023

However, with a wide range of algorithms available, it can be challenging to decide which one to use for a particular dataset. In this article, we will discuss some of the factors to consider while selecting a classification & Regression machine learning algorithm based on the characteristics of the data.

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Dataconomy

FEBRUARY 24, 2023

The term “artificial intelligence” (AI) describes machines’ ability to mimic human intelligence. Artificial Intelligence (AI) can be used in various ways to solve complex problems and automate tasks that were previously done manually. Yes, even lawyers, doctors, and more. What is AI?

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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?

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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?

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IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

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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. Because we have a model of the system and faults are rare in operation, we can take advantage of simulated data to train our algorithm.

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Towards AI

APRIL 4, 2024

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. Shall we unravel the true meaning of machine learning algorithms and their practicability?

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PyImageSearch

JANUARY 16, 2023

Jump Right To The Downloads Section Scaling Kaggle Competitions Using XGBoost: Part 3 Gradient Boost at a Glance In the first blog post of this series, we went through basic concepts like ensemble learning and decision trees. To recap: ensemble learners are normally a group of weak algorithms working together to produce quality output.

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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. AI-powered quoting systems leverage advanced algorithms to analyze vast amounts of data accurately.

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DrivenData Labs

MAY 24, 2023

We chose to compete in this challenge primarily to gain experience in the implementation of machine learning algorithms for data science. He has a keen interest in the application of artificial intelligence in various fields of healthcare, including genomics and trial emulation. What motivated you to compete in this challenge?

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Smart Data Collective

JULY 1, 2023

We have mentioned that advances in Artificial intelligence have significantly changed the quality of images recently. The resulting structured data is then used to train a machine learning algorithm. Provide examples and decision trees to guide annotators through complex scenarios.

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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.

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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. Interpretability — Explaining the meaning of a model/model decisions to humans. This article builds on the work of the XAI community.

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Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

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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.

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Pickl AI

JANUARY 29, 2024

Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. 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. billion by 2029.

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ODSC - Open Data Science

NOVEMBER 30, 2023

Explainable AI (XAI) refers to AI that explains how, where, and why it produces decisions. XAI coincides with white-box models, which detail the results the algorithms have. It uses data mining techniques like decision trees and rule-based systems to generate correct responses. What Is Explainable AI?

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