Analytics Vidhya

OCTOBER 23, 2020

This article was published as a part of the Data Science Blogathon. The post The Mathematics Behind Support Vector Machine Algorithm (SVM) appeared first on Analytics Vidhya. Introduction One of the classifiers that we come across while learning about.

Support Vector Machines 298

Support Vector Machines Algorithm Data Science Analytics 298

Analytics Vidhya

JULY 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Support Vector Machine (SVM) is a very powerful and. The post Support Vector Machine and Principal Component Analysis Tutorial for Beginners appeared first on Analytics Vidhya.

Support Vector Machines 282

Support Vector Machines Data Science Analytics Analytics 282

Analytics Vidhya

JULY 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Overview In this article, we will learn the working of. The post Start Learning SVM (Support Vector Machine) Algorithm Here! appeared first on Analytics Vidhya.

Support Vector Machines 271

Support Vector Machines Algorithm Data Science Analytics 271

Analytics Vidhya

APRIL 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Introduction to SVM(Support Vector Machine) Along with Python Code appeared first on Analytics Vidhya. Introduction This article aims to provide a basic understanding.

Support Vector Machines 271

Support Vector Machines Python Data Science Analytics 271

Analytics Vidhya

OCTOBER 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Support vector machine is one of the most famous and decorated machine learning algorithms in classification problems.

Support Vector Machines 394

Support Vector Machines Algorithm Machine Learning Machine Learning 394

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Before the sudden rise of neural networks, Support Vector Machines. The post Top 15 Questions to Test your Data Science Skills on SVM appeared first on Analytics Vidhya.

Data Science 213

Data Science Support Vector Machines Analytics Analytics 213

Data Science Dojo

AUGUST 11, 2023

In contemporary times, data science has emerged as a substantial and progressively expanding domain that has an impact on virtually every sphere of human ingenuity: be it commerce, technology, healthcare, education, governance, and beyond. This piece will concentrate on the elemental constituents constituting data science.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

Data Science Dojo

FEBRUARY 7, 2023

Top statistical techniques – Data Science Dojo Counterfactual causal inference: Counterfactual causal inference is a statistical technique that is used to evaluate the causal significance of historical events. These algorithms are often used to solve optimization problems, such as gradient descent and conjugate gradient.

Data Analysis 368

Data Analysis Data Analysis Support Vector Machines Algorithm 368

Data Science Dojo

MAY 1, 2023

Python is a powerful and versatile programming language that has become increasingly popular in the field of data science. One of the main reasons for its popularity is the vast array of libraries and packages available for data manipulation, analysis, and visualization.

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Python Machine Learning Machine Learning Data Science 268

Data Science Dojo

FEBRUARY 15, 2023

Image Credit: Pinterest – Problem solving tools In last week’s post , DS-Dojo introduced our readers to this blog-series’ three focus areas, namely: 1) software development, 2) project-management, and 3) data science. This week, we continue that metaphorical (learning) journey with a fun fact. Better yet, a riddle. IoT, Web 3.0,

K-nearest Neighbors 195

K-nearest Neighbors Decision Trees Support Vector Machines Data Science 195

Data Science Dojo

MAY 24, 2023

They work by dividing the data into smaller and smaller groups until each group can be classified with a high degree of accuracy. It works by finding a line that best fits the data. Support vector machines : Support vector machines are a more complex algorithm that can be used for both classification and regression tasks.

Machine Learning 355

Machine Learning Machine Learning Data Scientist Support Vector Machines 355

Data Science Dojo

MAY 1, 2023

Python is a powerful and versatile programming language that has become increasingly popular in the field of data science. One of the main reasons for its popularity is the vast array of libraries and packages available for data manipulation, analysis, and visualization.

Python 195

Python Machine Learning Machine Learning Data Science 195

Dataconomy

MARCH 6, 2025

Surrogate models have become essential tools in engineering and data science, transforming how we approach complex simulations. Their usefulness ranges from optimizing designs to performing sensitivity analyses, making them invaluable in today’s data-driven world. What is a surrogate model?

Machine Learning 91

Machine Learning Machine Learning Support Vector Machines Data Science 91

Data Science Dojo

FEBRUARY 14, 2024

In this blog, we will discuss one of the feature transformation techniques called feature scaling with examples and see how it will be the game changer for our machine learning model accuracy. In the world of data science and machine learning, feature transformation plays a crucial role in achieving accurate and reliable results.

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Mlearning.ai

MAY 12, 2023

Support Vector Machine: A Comprehensive Guide — Part1 Support Vector Machines (SVMs) are a type of supervised learning algorithm used for classification and regression analysis. Submission Suggestions Support Vector Machine: A Comprehensive Guide — Part1 was originally published in MLearning.ai

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Support Vector Machines Natural Language Processing Supervised Learning Algorithm 52

Mlearning.ai

MAY 22, 2023

Support Vector Machine: A Comprehensive Guide — Part2 In my last article, we discussed SVMs, the geometric intuition behind SVMs, and also Soft and Hard margins. So we can use SVM kernels here to transform the data into higher dimensions. But the model can create only 1 best-fit line. BECOME a WRITER at MLearning.ai.

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Support Vector Machines Machine Learning Machine Learning Algorithm 52

Data Science Dojo

MAY 27, 2024

Some common models used are as follows: Logistic Regression – it classifies by predicting the probability of a data point belonging to a class instead of a continuous value Decision Trees – uses a tree structure to make predictions by following a series of branching decisions Support Vector Machines (SVMs) – create a clear decision (..)

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Towards AI

FEBRUARY 23, 2024

In Data Science, clustering is used to group similar instances together, discovering patterns, hidden structures, and fundamental relationships within a dataset. In this introduction guide, I will formally introduce you to clustering in Machine Learning. You are certainly capable of identifying groups of related books.

Clustering 115

Clustering Support Vector Machines Machine Learning Machine Learning 115

Pickl AI

APRIL 6, 2025

Learn how they work and how to apply them in real-world projects through Pickl.AIs data science courses. Introduction Machine learning often struggles when the data isnt in a straight lineliterally! This is where kernel methods in machine learning come in like superheroes.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines Data Science 52

ODSC - Open Data Science

FEBRUARY 13, 2023

The field of data science changes constantly, and some frameworks, tools, and algorithms just can’t get the job done anymore. Machine Learning for Beginners Learn the essentials of machine learning including how Support Vector Machines, Naive Bayesian Classifiers, and Upper Confidence Bound algorithms work.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Data Science skills that will help you excel professionally.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

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. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

Data Science 52

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Data Science Dojo

JULY 15, 2024

Common Classification Algorithms: Logistic Regression: A popular choice for binary classification, it uses a mathematical function to model the probability of a data point belonging to a particular class. Decision Trees: These work by asking a series of yes/no questions based on data features to classify data points.

Machine Learning 307

Machine Learning Machine Learning Algorithm Clustering 307

Pickl AI

JULY 1, 2024

Demand forecasting, powered by data science, helps predict customer needs. Optimize inventory, streamline operations, and make data-driven decisions for success. Data Science empowers businesses to leverage the power of data for accurate and insightful demand forecasts.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 2, 2025

Comparison with Other Classification Techniques Associative classification differs from traditional classification methods like decision trees and support vector machines (SVM). Understanding these differences can help determine when to use each technique based on the nature of the data and the problem at hand.

Data Mining 52

Data Mining Data Mining Data Mining Decision Trees 52

Pickl AI

MAY 31, 2023

With the expanding field of Data Science, the need for efficient and skilled professionals is increasing. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Towards AI

JULY 15, 2024

R has simplified the most complex task of geospatial machine learning and data science. As GIS is slowly embracing data science, mastery of programming is very necessary regardless of your perception of programming. data = trainData) 5.

Machine Learning 119

Machine Learning Machine Learning Algorithm K-nearest Neighbors 119

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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Data Analyst Data Science Machine Learning Machine Learning 52

Towards AI

APRIL 5, 2023

Photo by David Schultz on Unsplash Linfa Linfa is a Rust-based machine-learning library that offers a wide range of algorithms for regression, classification, clustering, and other tasks. One of Linfa’s most notable features is its emphasis on interoperability, achieved through a standardized API for machine learning algorithms.

Machine Learning 98

Machine Learning Machine Learning Support Vector Machines Clustering 98

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Towards AI

APRIL 27, 2023

Understanding the Principles, Challenges, and Applications of Gradient Descent Image by Author with @MidJourney Introduction to Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning and data science to find the optimal values of the parameters in a model.

Machine Learning 98

Machine Learning Machine Learning Support Vector Machines Algorithm 98

Data Science Dojo

APRIL 10, 2023

In data mining, popular algorithms include decision trees, support vector machines, and k-means clustering. This is similar as you consider many factors while you pay someone for essay , which may include referencing, evidence-based argument, cohesiveness, etc.

Data Mining 195

Data Mining Data Mining Data Mining Algorithm 195

Smart Data Collective

JUNE 7, 2019

Machine learning is playing a very important role in improving the functionality of task management applications. In January, Towards Data Science published an article on this very topic. “In Project managers should be aware of the changes that machine learning has brought to task management applications.

Machine Learning 101

Machine Learning Machine Learning Supervised Learning Support Vector Machines 101

Data Science Dojo

JULY 23, 2024

Feature Engineering Encoding categorical data is a crucial part of feature engineering, which involves creating features that make ML models more effective. Learn about 101 ML algorithms for data science with cheat sheets 5. Effective feature engineering, including proper encoding, can significantly enhance model performance.

Machine Learning 195

Machine Learning Machine Learning Algorithm ML 195

Towards AI

JULY 20, 2023

This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI). NLP for SLR data extraction in action Several studies have shown the viability of automated extraction through NLP models. This study by Bui et al.

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