IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

Machine Learning 97

Machine Learning Machine Learning Supervised Learning Clustering 97

Dataconomy

APRIL 4, 2023

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. Support Vector Machines In order to classify data more precisely, support vector machine methods create a partition (a hyperplane).

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. Support Vector Machines In order to classify data more precisely, support vector machine methods create a partition (a hyperplane).

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Pickl AI

AUGUST 22, 2023

In the ever-evolving landscape of Machine Learning, scaling plays a pivotal role in refining the performance and robustness of models. Among the multitude of techniques available to enhance the efficacy of Machine Learning algorithms, feature scaling stands out as a fundamental process.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 52

ODSC - Open Data Science

JANUARY 5, 2024

Scikit-learn A machine learning powerhouse, Scikit-learn provides a vast collection of algorithms and tools, making it a go-to library for many data scientists. PyTorch This essential library is an open-source ML framework capable of speeding up research prototyping, allowing companies to enter the production deployment phase.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

Mlearning.ai

MAY 23, 2023

An interdisciplinary field that constitutes various scientific processes, algorithms, tools, and machine learning techniques working to help find common patterns and gather sensible insights from the given raw input data using statistical and mathematical analysis is called Data Science. What is Data Science? Let us see some examples.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Mlearning.ai

FEBRUARY 15, 2023

Figure 4 Data Cleaning Conventional algorithms are often biased towards the dominant class, ignoring the data distribution. Figure 11 Model Architecture The algorithms and models used for the first three classifiers are essentially the same. K-Nearest Neighbou r: The k-Nearest Neighbor algorithm has a simple concept behind it.

Cross Validation 52

Cross Validation Decision Trees Natural Language Processing Algorithm 52

Dataconomy

SEPTEMBER 1, 2023

The time has come for us to treat ML and AI algorithms as more than simple trends. We are no longer far from the concepts of AI and ML, and these products are preparing to become the hidden power behind medical prediction and diagnostics. The decision tree algorithm used to select features is called the C4.5 algorithm.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195