K-nearest Neighbors, ML and Support Vector Machines

How to Call Machine Learning Algorithms on R for Spatial Analysis.

Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. I wrote about Python ML here. data = trainData) 5. From research to projects and ideas.

Machine Learning

Machine Learning Machine Learning Algorithm K-nearest Neighbors

Five machine learning types to know

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

Machine Learning Machine Learning Supervised Learning Clustering

Machine learning world easy-to-understand overview for beginners

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

Machine Learning Machine Learning K-nearest Neighbors Clustering

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Everything you should know about AI models

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean?

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

Everything you should know about AI models

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean?

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

Introduction to Feature Scaling in Machine Learning

Pickl AI

AUGUST 22, 2023

This harmonization is particularly critical in algorithms such as k-Nearest Neighbors and Support Vector Machines, where distances dictate decisions. To start your learning journey in Machine Learning, you can opt for a free course in ML.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines

Text classification with Multi-Armed Bandit

Mlearning.ai

FEBRUARY 2, 2023

bag of words or TF-IDF vectors) and splitting the data into training and testing sets. Define the classifiers: Choose a set of classifiers that you want to use, such as support vector machine (SVM), k-nearest neighbors (KNN), or decision tree, and initialize their parameters.

K-nearest Neighbors

K-nearest Neighbors Support Vector Machines Algorithm Decision Trees

How to Choose the Best Algorithm for Your Machine Learning Project

Mlearning.ai

APRIL 6, 2023

⚠ You can solve the below-mentioned questions from this blog ⚠ ✔ What if I am building Low code — No code ML automation tool and I do not have any orchestrator or memory management system ? ✔ how to reduce the complexity and computational expensiveness of ML models ? will my data help in this ?

Machine Learning

Machine Learning Machine Learning Algorithm Decision Trees

Predicting Race from Twitter: Unveiling Insights with pyCaret and Machine Learning

Mlearning.ai

JULY 4, 2023

With the preprocessed data in hand, we can now employ pyCaret, a powerful machine learning library, to build our predictive models. pyCaret simplifies the machine learning pipeline by automating various steps, such as feature selection, model training, hyperparameter tuning, and model evaluation.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines

8 of the Top Python Libraries You Should be Using in 2024

ODSC - Open Data Science

JANUARY 5, 2024

PyTorch This essential library is an open-source ML framework capable of speeding up research prototyping, allowing companies to enter the production deployment phase. Key PyTorch features include robust cloud support, a rich ecosystem of tools, distributed training and native ONNX (Open Neural Network Exchange) support.

Python

Python K-nearest Neighbors Data Science Data Visualization

Everything to know about Anomaly Detection in Machine Learning

Pickl AI

SEPTEMBER 3, 2023

49% of companies in the world that use Machine Learning and AI in their marketing and sales processes apply it to identify the prospects of sales. On the other hand, 48% use ML and AI for gaining insights into the prospects and customers. An ensemble of decision trees is trained on both normal and anomalous data.

Machine Learning

Machine Learning Machine Learning K-nearest Neighbors Algorithm

Bias and Variance in Machine Learning

Pickl AI

JULY 26, 2023

K-Nearest Neighbors with Small k I n the k-nearest neighbours algorithm, choosing a small value of k can lead to high variance. A smaller k implies the model is influenced by a limited number of neighbours, causing predictions to be more sensitive to noise in the training data.

Machine Learning

Machine Learning Machine Learning Cross Validation Decision Trees

From prediction to prevention: Machines’ struggle to save our hearts

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.

Decision Trees

Decision Trees Machine Learning Machine Learning Support Vector Machines

Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

FEBRUARY 15, 2023

K-Nearest Neighbou r: The k-Nearest Neighbor algorithm has a simple concept behind it. The method seeks the k nearest neighbours among the training documents to classify a new document and uses the categories of the k nearest neighbours to weight the category candidates [3].

Cross Validation

Cross Validation Decision Trees Algorithm Natural Language Processing

[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

MAY 23, 2023

Let us first understand the meaning of bias and variance in detail: Bias: It is a kind of error in a machine learning model when an ML Algorithm is oversimplified. It is introduced into an ML Model when an ML algorithm is made highly complex. Another example can be the algorithm of a support vector machine.

Data Science

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Data Science Current

How to Call Machine Learning Algorithms on R for Spatial Analysis.

Five machine learning types to know

Webinars

Trending Sources

Machine learning world easy-to-understand overview for beginners

Webinars

Everything you should know about AI models

Everything you should know about AI models

Introduction to Feature Scaling in Machine Learning

Text classification with Multi-Armed Bandit

How to Choose the Best Algorithm for Your Machine Learning Project

Predicting Race from Twitter: Unveiling Insights with pyCaret and Machine Learning

8 of the Top Python Libraries You Should be Using in 2024

Everything to know about Anomaly Detection in Machine Learning

Bias and Variance in Machine Learning

From prediction to prevention: Machines’ struggle to save our hearts

Text Classification in NLP using Cross Validation and BERT

[Updated] 100+ Top Data Science Interview Questions

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