Natural Language Processing, Supervised Learning and Support Vector Machines

Natural Language Processing

Supervised Learning

Support Vector Machines

Support Vector Machine: A Comprehensive Guide?—?Part1

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. Source: Alteryx To explain SVM I have divided this topic into 10 subtopics. What is SVM? Equation of a Line.

Support Vector Machines

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Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction

Towards AI

FEBRUARY 20, 2024

Types of Machine Learning There are three main categories of Machine Learning, Supervised learning, Unsupervised learning, and Reinforcement learning. Supervised learning: This involves learning from labeled data, where each data point has a known outcome.

Machine Learning

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How to build a Machine Learning Model?

Pickl AI

AUGUST 1, 2023

As technology continues to impact how machines operate, Machine Learning has emerged as a powerful tool enabling computers to learn and improve from experience without explicit programming. In this blog, we will delve into the fundamental concepts of data model for Machine Learning, exploring their types.

Machine Learning

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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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How To Get Promoted In Product Management

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Unleashing the Power of Applied Text Mining in Python: Revolutionize Your Data Analysis

Pickl AI

AUGUST 1, 2023

Text mining is also known as text analytics or Natural Language Processing (NLP). It is the process of deriving valuable patterns, trends, and insights from unstructured textual data. Gather a dataset of customer support tickets with different categories, such as billing, technical issues, or product inquiries.

Data Analysis

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Machine Learning vs. Deep Learning - A Comparison

Heartbeat

OCTOBER 11, 2023

Supervised, unsupervised, and reinforcement learning : Machine learning can be categorized into different types based on the learning approach. This is why the technique is known as "deep" learning. This is due to their capacity to adapt to new circumstances and learn from data.

Deep Learning

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Creating an artificial intelligence 101

Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. However, the process of creating AI can seem daunting to those who are unfamiliar with the technicalities involved. What is required to build an AI system?

Artificial Intelligence

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Exploring the dynamic fusion of AI and the IoT

Dataconomy

MAY 25, 2023

Here are some important machine learning techniques used in IoT: Supervised learning Supervised learning involves training machine learning models with labeled datasets.

Internet of Things

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

Subcategories of machine learning Some of the most commonly used machine learning algorithms include linear regression , logistic regression, decision tree , Support Vector Machine (SVM) algorithm, Naïve Bayes algorithm and KNN algorithm.

Machine Learning

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Ever wonder what makes machine learning effective?

Dataconomy

AUGUST 31, 2023

Here are some examples of where classification can be used in machine learning: Image recognition : Classification can be used to identify objects within images. This type of problem is more challenging because the model needs to learn more complex relationships between the input features and the multiple classes.

Machine Learning

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Best Resources for Kids to learn Data Science with Python

Pickl AI

MAY 31, 2023

Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. After that, move towards unsupervised learning methods like clustering and dimensionality reduction.

Data Science

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Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning

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Everything you should know about AI models

Dataconomy

APRIL 4, 2023

Reminder : Training data refers to the data used to train an AI model, and commonly there are three techniques for it: Supervised learning: The AI model learns from labeled data, which means that each data point has a known output or target value. Let’s dig deeper and learn more about them!

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

Everything you should know about AI models

Dataconomy

APRIL 4, 2023

K-nearest Neighbors

K-nearest Neighbors Decision Trees AI AI

AI Drug Discovery: How It’s Changing the Game

Becoming Human

MARCH 16, 2023

These branches include supervised and unsupervised learning, as well as reinforcement learning, and within each, there are various algorithmic techniques that are used to achieve specific goals, such as linear regression, neural networks, and support vector machines.

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Data Science Current

Support Vector Machine: A Comprehensive Guide?—?Part1

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction

Webinars

Trending Sources

How to build a Machine Learning Model?

Webinars

Unleashing the Power of Applied Text Mining in Python: Revolutionize Your Data Analysis

Machine Learning vs. Deep Learning - A Comparison

Creating an artificial intelligence 101

Exploring the dynamic fusion of AI and the IoT

Data science vs. machine learning: What’s the difference?

Ever wonder what makes machine learning effective?

Best Resources for Kids to learn Data Science with Python

Five machine learning types to know

Everything you should know about AI models

Everything you should know about AI models

AI Drug Discovery: How It’s Changing the Game

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