Analytics Vidhya

JULY 16, 2024

Tensors efficiently handle multi-dimensional data, making such innovative projects possible. This article aims to provide readers with […] The post What is Tensor: Key Concepts, Properties, and Uses in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 341

Machine Learning Forecasting Analytics Deep Learning 341

Analytics Vidhya

MAY 7, 2024

Introduction Are you following the trend or genuinely interested in Machine Learning? Either way, you will need the right resources to TRUST, LEARN and SUCCEED. If you are unable to find the right Machine Learning resource in 2024? We are here to help.

Machine Learning 328

Machine Learning Analytics Deep Learning Data Science 328

Analytics Vidhya

NOVEMBER 23, 2024

Handling missing data is one of the most common challenges in data analysis and machine learning. Missing values can arise for various reasons, such as errors in data collection, manual omissions, or even the natural absence of information. appeared first on Analytics Vidhya.

Predictive Modeling 208

Predictive Modeling Machine Learning Data Collection Modeling 208

Analytics Vidhya

APRIL 11, 2024

Introduction Machine learning is a rapidly growing field that is transforming industries across sectors. It enables computers to learn from data and make predictions or decisions without being explicitly programmed.

Machine Learning 306

Machine Learning Modeling Analytics IT 306

Analytics Vidhya

NOVEMBER 26, 2024

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging.

Modeling 290

Modeling Machine Learning Data-driven Technology 290

KDnuggets

MAY 21, 2025

Amid so many different machine learning algorithms to choose from. This guide has been designed to help you navigate towards the right one for you, depending on your data and the problem to address.

Machine Learning 105

Machine Learning 105

Analytics Vidhya

DECEMBER 7, 2024

Python’s versatility and readability have solidified its position as the go-to language for data science, machine learning, and AI. From data manipulation […] The post Top 50 Python Libraries to Know in 2025 appeared first on Analytics Vidhya.

Machine Learning 288

Machine Learning Data Science Technology Analytics 288

Analytics Vidhya

APRIL 22, 2025

Data preprocessing remains crucial for machine learning success, yet real-world datasets often contain errors. Data preprocessing using Cleanlab provides an efficient solution, leveraging its Python package to implement confident learning algorithms. appeared first on Analytics Vidhya.

Machine Learning 162

Machine Learning Statistics Analytics IT 162

KDnuggets

MAY 15, 2025

Learn about the AWS machine learning service that helps you build machine learning pipelines, from processing data to training and deploying models.

Machine Learning 73

Machine Learning Modeling 73

Analytics Vidhya

DECEMBER 26, 2024

Linear algebra is a cornerstone of many advanced mathematical concepts and is extensively used in data science, machine learning, computer vision, and engineering. One of the fundamental concepts in linear algebra is eigenvectors, often paired with eigenvalues. But what exactly is an eigenvector, and why is it so important?

Machine Learning 208

Machine Learning Data Science Analytics IT 208

Analytics Vidhya

JUNE 10, 2024

Introduction Many contemporary technologies, especially machine learning, rely heavily on labeled data. The availability and caliber of labeled data strongly influence the […] The post What is Labeled Data? appeared first on Analytics Vidhya.

Machine Learning 318

Machine Learning Modeling Technology Analytics 318

Analytics Vidhya

NOVEMBER 20, 2024

A key idea in data science and statistics is the Bernoulli distribution, named for the Swiss mathematician Jacob Bernoulli. It is crucial to probability theory and a foundational element for more intricate statistical models, ranging from machine learning algorithms to customer behaviour prediction.

Statistics 198

Statistics Machine Learning Data Science Modeling 198

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

Analytics Vidhya

AUGUST 1, 2024

As you move through the crowd, you catch bits and pieces of two professionals discussing their work—one is a data scientist, who seems to be very passionate about the use of machine learning in predicting illnesses, the other […] The post Data Science vs. Computer Science: A Comprehensive Guide appeared first on Analytics Vidhya.

Data Science 306

Data Science Machine Learning Analytics IT 306

Analytics Vidhya

DECEMBER 27, 2023

Introduction Data annotation plays a crucial role in the field of machine learning, enabling the development of accurate and reliable models. In this article, we will explore the various aspects of data annotation, including its importance, types, tools, and techniques.

Machine Learning 334

Machine Learning Modeling Analytics Data mining 334

Analytics Vidhya

NOVEMBER 25, 2024

The normal distribution, also known as the Gaussian distribution, is one of the most widely used probability distributions in statistics and machine learning. Understanding its core properties, mean and variance, is important for interpreting data and modelling real-world phenomena.

Statistics 204

Statistics Machine Learning Modeling Analytics 204

Analytics Vidhya

DECEMBER 24, 2023

Introduction In the bustling world of machine learning, categorical data is like the DNA of our datasets – essential yet complex. But how do we make this data comprehensible to our algorithms? Enter One Hot Encoding, the transformative process that turns categorical variables into a language that machines understand.

Machine Learning 334

Machine Learning Analytics Data Science 334

Analytics Vidhya

MAY 17, 2025

For all the tasks related to data science and machine learning, the most important thing that defines how a model will perform depends on how good our data is. Python Pandas and SQL are among the powerful tools that can help in extracting and manipulating data efficiently.

Machine Learning 125

Machine Learning Data Science Modeling Analytics 125

Analytics Vidhya

APRIL 5, 2024

A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This article is […] The post Top 40 Python Libraries for AI, ML and Data Science appeared first on Analytics Vidhya. Python’s superpower?

Data Science 369

Data Science Machine Learning Analytics IT 369

Analytics Vidhya

SEPTEMBER 20, 2023

Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise.

Machine Learning 353

Machine Learning Reporting Analytics 353

Analytics Vidhya

AUGUST 13, 2024

It explains how these plots can reveal patterns in data, making them useful for data scientists and machine learning practitioners.

Visualization 287

Visualization Machine Learning Analytics IT 287

Analytics Vidhya

JANUARY 10, 2024

Introduction Git is a powerful version control system that plays a crucial role in managing and tracking changes in code for data science projects. Whether you’re working on machine learning models, data analysis scripts, or collaborative projects, understanding and utilizing Git commands is essential.

Data Science 329

Data Science Machine Learning Modeling Management 329

Analytics Vidhya

JULY 22, 2024

This research uses NASA jet engine simulation data to explore a novel method to predictive maintenance. We explore how machine learning can assess the condition of these vital components […] The post CMAPSS Jet Engine Failure Classification Based On Sensor Data appeared first on Analytics Vidhya.

Machine Learning 290

Machine Learning Analytics 290

Analytics Vidhya

MARCH 25, 2025

How can you ensure your machine learning models get the high-quality data they need to thrive? In todays machine learning landscape, handling data well is as important as building strong models.

Machine Learning 160

Machine Learning Structured Data Modeling Analytics 160

Analytics Vidhya

MARCH 19, 2024

Are you excited to explore the amazing field of data science? The top 10 Free Data Science eBooks are included below, and they cover a wide range of subjects from machine learning and statistics to advanced themes. You’re in the proper location!

Data Science 328

Data Science Statistics Machine Learning Analytics 328

CIO Business Intelligence

NOVEMBER 18, 2024

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

IoT 110

IoT Machine Learning Metadata Data-driven 110

Analytics Vidhya

MAY 30, 2024

Introduction Python is the favorite language for most data engineers due to its adaptability and abundance of libraries for various tasks such as manipulation, machine learning, and data visualization. This post looks at the top 9 Python libraries necessary for data engineers to have successful careers.

Machine Learning 317

Machine Learning Visualization Analytics IT 317

David Menninger's Analyst Perspectives

JANUARY 15, 2025

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Until recently, it was adequate for organizations to regard external data as a nice to have item, but that is no longer the case.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

Analytics Vidhya

APRIL 29, 2024

Introduction Incorporating Artificial Intelligence (AI) into Data Analytics has become a revolutionary force in the era of abundant data. It is transforming how businesses get insights from their data reservoirs.

Data Analytics 314

Data Analytics Analytics Machine Learning IT 314