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. NumPy NumPy is a fundamental package for scientific computing in Python. Matplotlib is a great tool for data visualization and is widely used in data analysis, scientific computing, and machine learning.

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Data Science Dojo

AUGUST 11, 2023

At the heart of this discipline lie four key building blocks that form the foundation for effective data science: statistics, Python programming, models, and domain knowledge. Machine learning is a field of computer science that uses statistical techniques to build models from data. SciPy is a library for scientific computing.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

Towards AI

JULY 15, 2024

R has become ideal for GIS, especially for GIS machine learning as it has topnotch libraries that can perform geospatial computation. R has simplified the most complex task of geospatial machine learning and data science. In addition, it’s also adapted to many other programming languages, such as Python or SQL.

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Machine Learning Machine Learning Algorithm K-nearest Neighbors 116

Data Science Dojo

FEBRUARY 14, 2024

These features can be used to improve the performance of Machine Learning Algorithms. 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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Towards AI

APRIL 5, 2023

Rustic Learning: Machine Learning in Rust — Part 2: Regression and Classification An Introduction to Rust’s Machine Learning crates Photo by Malik Skydsgaard on Unsplash Rustic Learning is a series of articles that explores the use of Rust programming language for machine learning tasks.

Machine Learning 98

Machine Learning Machine Learning Support Vector Machines Clustering 98

How to Learn Machine Learning

AUGUST 14, 2024

Machine learning for text extraction with Python is one of the best combos out there for this task. In this blog post, we’ll talk about how one can use Machine learning and Python to perform text extraction with the highest level of accuracy. So make sure to read till the end to absorb the maximum knowledge.

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Pickl AI

AUGUST 8, 2024

Summary: Support Vector Machine (SVM) is a supervised Machine Learning algorithm used for classification and regression tasks. Introduction Machine Learning has revolutionised various industries by enabling systems to learn from data and make informed decisions.

Machine Learning 52

Machine Learning Machine Learning Algorithm Support Vector Machines 52

IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 82

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 machine learning? This post will dive deeper into the nuances of each field.

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Machine Learning Machine Learning Data Science Big Data 70

ODSC - Open Data Science

FEBRUARY 13, 2023

Top 3 Free Training Sessions Microsoft Azure: Machine Learning Essentials This series of videos from Microsoft covers the entire stack of machine learning essentials with Microsoft Azure. A few standout topics include model deployment and inferencing, MLOps, and multi-cloud machine learning.

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How to Learn Machine Learning

DECEMBER 15, 2024

In the rapidly evolving world of technology, machine learning has become an essential skill for aspiring data scientists, software engineers, and tech professionals. Coursera Machine Learning Courses are an exceptional array of courses that can transform your career and technical expertise.

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Machine Learning Machine Learning Deep Learning Deep Learning 52

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.

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Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Key programming languages include Python and R, while mathematical concepts like linear algebra and calculus are crucial for model optimisation.

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Machine Learning Machine Learning ML ML 52

Pickl AI

FEBRUARY 2, 2025

Popular tools for implementing it include WEKA, RapidMiner, and Python libraries like mlxtend. Comparison with Other Classification Techniques Associative classification differs from traditional classification methods like decision trees and support vector machines (SVM).

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Data Mining Data Mining Data Mining Decision Trees 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

By following this data-driven approach, the classifier can accurately categorize new inputs based on their similarity to the learned characteristics of each class, capturing the nuances and diversity within each category. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module.

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Algorithm Machine Learning Machine Learning K-nearest Neighbors 88

Pickl AI

NOVEMBER 18, 2024

Summary: The blog provides a comprehensive overview of Machine Learning Models, emphasising their significance in modern technology. It covers types of Machine Learning, key concepts, and essential steps for building effective models. The global Machine Learning market was valued at USD 35.80

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Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

JANUARY 12, 2025

Machine learning allows an explainable artificial intelligence system to learn and change to achieve improved performance in highly dynamic and complex settings. Data forms the backbone of AI systems, feeding into the core input for machine learning algorithms to generate their predictions and insights.

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Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

SEPTEMBER 3, 2023

Introduction Anomaly detection is identified as one of the most common use cases in Machine Learning. The following blog will provide you a thorough evaluation on how Anomaly Detection Machine Learning works, emphasising on its types and techniques. Billion which is supposed to increase by 35.6% CAGR during 2022-2030.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

Mlearning.ai

APRIL 13, 2023

Photo by Robo Wunderkind on Unsplash In general , a data scientist should have a basic understanding of the following concepts related to kernels in machine learning: 1. Support Vector Machine Support Vector Machine ( SVM ) is a supervised learning algorithm used for classification and regression analysis.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Support Vector Machines 52

Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence.

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Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Mlearning.ai

JULY 4, 2023

One such intriguing aspect is the potential to predict a user’s race based on their tweets, a task that merges the realms of Natural Language Processing (NLP), machine learning, and sociolinguistics. With the preprocessed data in hand, we can now employ pyCaret, a powerful machine learning library, to build our predictive models.

Machine Learning 52

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

Mlearning.ai

NOVEMBER 30, 2023

Mastering Tree-Based Models in Machine Learning: A Practical Guide to Decision Trees, Random Forests, and GBMs Image created by the author on Canva Ever wondered how machines make complex decisions? Just like a tree branches out, tree-based models in machine learning do something similar. Let’s get started!

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Machine Learning Machine Learning Decision Trees Data Science 52

Pickl AI

MAY 31, 2023

Python is one of the widely used programming languages in the world having its own significance and benefits. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Some of the top Data Science courses for Kids with Python have been mentioned in this blog for you.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Mlearning.ai

APRIL 28, 2023

Anomaly Detection Identifying Outliers in Your Data using Statistical and Machine Learning Methods In today’s data-driven world, it’s essential to be able to identify outliers or anomalies in your data. Our approach will emphasize on providing illustrative Python code to effectively demonstrate each of these methods.

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Python Machine Learning Machine Learning Algorithm 52

ODSC - Open Data Science

JANUARY 5, 2024

Python is still one of the most popular programming languages that developers flock to. In this blog, we’re going to take a look at some of the top Python libraries of 2023 and see what exactly makes them tick. In this blog, we’re going to take a look at some of the top Python libraries of 2023 and see what exactly makes them tick.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

Mlearning.ai

JUNE 8, 2023

Netflix-style if-you-like-these-movies-you’ll-like-this-one-too) All kinds of search Text search (like Google Search) Image search (like Google Reverse Image Search) Chatbots and question-answering systems Data preprocessing (preparing data to be fed into a machine learning model) One-shot/zero-shot learning (i.e.

Machine Learning 52

Machine Learning Machine Learning Clustering Database 52

Pickl AI

AUGUST 1, 2023

In this article, we will explore the concept of applied text mining in Python and how to do text mining in Python. Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python? How To Do Text Mining in Python?

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Data Analysis Data Analysis Python Support Vector Machines 52

Heartbeat

MARCH 8, 2023

Text categorization is supported by a number of programming languages, including R, Python, and Weka, but the main focus of this article will be text classification with R. Text Categorization Text categorization is a machine-learning approach that divides the text into specific categories based on its content.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Mining 52

Towards AI

JANUARY 26, 2024

This article will explain the concept of hyperparameter tuning and the different methods that are used to perform this tuning, and their implementation using python Photo by Denisse Leon on Unsplash Table of Content Model Parameters Vs Model Hyperparameters What is hyperparameter tuning? What is hyperparameter tuning?

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K-nearest Neighbors Deep Learning Deep Learning Algorithm 100

AWS Machine Learning Blog

JANUARY 17, 2024

We then discuss the various use cases and explore how you can use AWS services to clean the data, how machine learning (ML) can aid in this effort, and how you can make ethical use of the data in generating visuals and insights. In this first post, we introduce mobility data, its sources, and a typical schema of this data.

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Clustering AWS ML ML 136

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. AI refers to developing machines capable of performing tasks that require human intelligence.

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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. Develop AI models using machine learning or deep learning algorithms. Machine learning and deep learning algorithms are commonly used in AI development.

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Heartbeat

APRIL 17, 2023

Photo by Shahadat Rahman on Unsplash Introduction Machine learning (ML) focuses on developing algorithms and models that can learn from data and make predictions or decisions. In this article, we will discuss how to perform Named Entity Recognition with SpaCy , a popular Python library for NLP.

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Natural Language Processing Support Vector Machines Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 12, 2024

Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques. Examples include linear regression, logistic regression, and support vector machines.

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Heartbeat

SEPTEMBER 28, 2023

Hands-on Project Why customer churn matters and how to predict it with machine learning, explained step-by-step Photo by Gabrielle Ribeiro on Unsplash Introduction In today’s competitive business environment, retaining customers is essential to a company’s success. Follow “Nhi Yen” for future updates! Our project uses Comet ML to: 1.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines ML 52

Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube Deploy LLMs in production Deploy Model Azure —  Use endpoints for inference — Azure Machine Learning | Microsoft Learn AWS + Huggingface —  Exporting ?

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phData

AUGUST 24, 2023

However, these models are evolving, with machine learning now playing an essential role in refining and improving the accuracy and efficiency of credit scoring and decisioning. How Does Machine Learning Impact These Models? Below are just some of the advantages provided by incorporating machine learning in credit models.

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