IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others. Naïve Bayes algorithms include decision trees , which can actually accommodate both regression and classification algorithms.

Machine Learning 92

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Dataconomy

AUGUST 31, 2023

Some popular classification algorithms include logistic regression, decision trees, random forests, support vector machines (SVMs), and neural networks. Choose a suitable classification algorithm based on the type of classification problem and the data.

Machine Learning 136

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Dataconomy

JUNE 13, 2023

It leverages the power of technology to provide actionable insights and recommendations that support effective decision-making in complex business scenarios. At its core, decision intelligence involves collecting and integrating relevant data from various sources, such as databases, text documents, and APIs.

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Pickl AI

JULY 12, 2024

Jupyter notebooks allow you to create and share live code, equations, visualisations, and narrative text documents. Decision Trees Decision trees recursively partition data into subsets based on the most significant attribute values. classification, regression) and data characteristics.

Artificial Intelligence 52

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Mlearning.ai

APRIL 13, 2023

Before we discuss the above related to kernels in machine learning, let’s first go over a few basic concepts: Support Vector Machine , S upport Vectors and Linearly vs. Non-linearly Separable Data. The linear kernel is ideal for linear problems, such as logistic regression or support vector machines ( SVMs ).

Machine Learning 52

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ODSC - Open Data Science

JANUARY 5, 2024

It is easy to use, with a well-documented API and a wide range of tutorials and examples available. First, it’s easy to use, the code is easy to learn and it has a well-documented API. Scikit-learn is also open-source, which makes it a popular choice for both academic and commercial use. What really makes Django are a few things.

Python 52

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Pickl AI

DECEMBER 10, 2024

Model-Related Hyperparameters Model-related hyperparameters are specific to the architecture and structure of a Machine Learning model. They vary significantly between model types, such as neural networks , decision trees, and support vector machines.

Machine Learning 52

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Pickl AI

OCTOBER 15, 2024

Techniques like linear regression, time series analysis, and decision trees are examples of predictive models. At each node in the tree, the data is split based on the value of an input variable, and the process is repeated recursively until a decision is made.

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Mlearning.ai

FEBRUARY 15, 2023

Figure 5 Feature Extraction and Evaluation Because most classifiers and learning algorithms require numerical feature vectors with a fixed size rather than raw text documents with variable length, they cannot analyse the text documents in their original form.

Cross Validation 52

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Heartbeat

APRIL 17, 2023

NRE is a complex task that involves multiple steps and requires sophisticated machine learning algorithms like Hidden Markov Models (HMMs) , Conditional Random Fields (CRFs), and Support Vector Machines (SVMs) be present. The output is a list of named entities and their corresponding categories.

Natural Language Processing 52

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Pickl AI

SEPTEMBER 12, 2024

Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks. Random Forest: An ensemble learning method that constructs multiple decision trees and merges them to improve accuracy and control overfitting.

Data Analyst 52

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Pickl AI

FEBRUARY 18, 2025

This data needs to be analysed and be in a structured manner whether it is in the form of emails, texts, documents, articles, and many more. Support Vector Machines (SVM) : This method identifies optimal decision boundaries to classify sentiment effectively across various datasets.

Natural Language Processing 52

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Pickl AI

MAY 31, 2023

Well-supported: Python has a large community of followers that includes professionals from the academic and industrial circles which allows them to use the analytics libraries for problem solving. Accordingly, it is possible for the Python users to ask for help from Stack Overflow, mailing lists and user-contributed code and documentation.

Data Science 52

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Pickl AI

NOVEMBER 28, 2024

Decision Trees These trees split data into branches based on feature values, providing clear decision rules. Support Vector Machines (SVM) SVMs are powerful classifiers that separate data into distinct categories by finding an optimal hyperplane.

Machine Learning 52

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ODSC - Open Data Science

JANUARY 7, 2025

Natural Language Processing (NLP) has emerged as a dominant area, with tasks like sentiment analysis, machine translation, and chatbot development leading the way. Classification techniques, such as image recognition and document categorization, remain essential for a wide range of industries.

Data Scientist 40

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DagsHub

APRIL 21, 2024

Scikit-learn provides a consistent API for training and using machine learning models, making it easy to experiment with different algorithms and techniques. You must evaluate the level of support and documentation provided by the tool vendors or the open-source community.

Machine Learning 59

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DagsHub

DECEMBER 23, 2024

  Image classification Text categorization Document sorting Sentiment analysis Medical image diagnosis Advantages Pool-based active learning can leverage relationships between data points through techniques like density-based sampling and cluster analysis.   Traditional Active Learning has the following characteristics.

Deep Learning 52

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Dataconomy

DECEMBER 12, 2024

These complex data formats are usually unstructured, structurally only a set of bytes in a given field, about which the user often has no reliable information due to incomplete documentation. Overfitting can occur when the model uses too many features, causing it to make decisions faster, for example, at the endpoints of decision trees.

K-nearest Neighbors 91

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