Analytics Vidhya

NOVEMBER 1, 2023

The answer lies in clustering, a powerful technique in machine learning and data analysis. Clustering algorithms allow us to group data points based on their similarities, aiding in tasks ranging from customer segmentation to image analysis.

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Clustering Machine Learning Machine Learning Algorithm 264

Data Science Dojo

JULY 15, 2024

By understanding machine learning algorithms, you can appreciate the power of this technology and how it’s changing the world around you! Let’s unravel the technicalities behind this technique: The Core Function: Regression algorithms learn from labeled data , similar to classification.

Machine Learning 307

Machine Learning Machine Learning Algorithm Clustering 307

Analytics Vidhya

SEPTEMBER 6, 2024

Real-time systems, such as financial transactions, voice assistants, and health monitoring systems, rely on continuous […] The post Guide to Online Learning and Passive-Aggressive Algorithms appeared first on Analytics Vidhya.

Algorithm 271

Algorithm Analytics Analytics Data Analysis 271

Flipboard

MARCH 11, 2025

"The main issue is that many PDFs are simply pictures of information, which means you need Optical Character Recognition software to turn those pictures into data, especially when the original is old or includes handwriting." Read full article Comments

Data Analysis 174

Data Analysis Data Analysis Algorithm Machine Learning 174

Data Science Dojo

JULY 17, 2023

To address this challenge, businesses need to use advanced data analysis methods. These methods can help businesses to make sense of their data and to identify trends and patterns that would otherwise be invisible. In recent years, there has been a growing interest in the use of artificial intelligence (AI) for data analysis.

Data Analysis 195

Data Analysis Data Analysis Tableau Machine Learning 195

Data Science Dojo

JANUARY 16, 2023

An overview of data analysis, the data analysis process, its various methods, and implications for modern corporations. Studies show that 73% of corporate executives believe that companies failing to use data analysis on big data lack long-term sustainability.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Analytics Vidhya

APRIL 20, 2024

Introduction Large Language Models (LLMs) are becoming increasingly valuable tools in data science, generative AI (GenAI), and AI. These complex algorithms enhance human capabilities and promote efficiency and creativity across various sectors.

Natural Language Processing 328

Natural Language Processing Data Analysis Data Analysis Data Science 328

Analytics Vidhya

JANUARY 29, 2024

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch.

Machine Learning 353

Machine Learning Machine Learning Data Scientist Data Analysis 353

KDnuggets

OCTOBER 27, 2022

Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs.

Data Analysis 325

Data Analysis Data Analysis Machine Learning Machine Learning 325

Analytics Vidhya

MAY 23, 2024

With the help of machine learning algorithms and real-time data analysis, Mastercard’s AI […] The post Mastercard AI: It Detects Compromised Cards Faster, Thwarting Criminals appeared first on Analytics Vidhya.

Artificial Intelligence 319

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 319

Dataconomy

JANUARY 3, 2024

That’s akin to the experience of sifting through today’s digital news landscape, except instead of a magical test, we have the power of data analysis to help us find the news that matters most to us. What if you could take a test that magically guides you to the knowledge that interests you most?

Data Analysis 207

Data Analysis Data Analysis Big Data Big Data 207

Dataconomy

AUGUST 13, 2024

I spoke with Pavel Grishin , Co-Founder and CTO of NTPro, to understand data science’s role in this lucrative market. The Rise of Algorithmic FX Trading One of the most significant applications of data science in FX trading is the development of algorithmic trading strategies. ” What Comes Next?

Algorithm 202

Algorithm Data Science Machine Learning Machine Learning 202

Analytics Vidhya

JANUARY 17, 2024

It plays a crucial role in various fields, such as probability, statistics, cryptography, and data analysis. In Python, powerful libraries and algorithms allow us to work efficiently with permutations and combinations.

Python 309

Python Data Analysis Data Analysis Algorithm 309

FlowingData

SEPTEMBER 27, 2022

To teach, learn, and measure the process of analysis more concretely, Lucy D’Agostino McGowan, Roger D. Hicks explain their work in the Journal of Computational and Graphical Statistics : The design principles for data analysis are qualities or characteristics that are relevant to the analysis and can be observed or measured.

Data Analysis 141

Data Analysis Data Analysis Data Visualization Data Analyst 141

Analytics Vidhya

DECEMBER 4, 2023

Introduction Welcome to the world of data science, where algorithms, statistics, and domain expertise converge to extract meaningful insights from vast datasets. In this era of technological advancement, having the right tools at your disposal can make all the difference in navigating the intricate landscape of data analysis.

Data Science 325

Data Science Data Analysis Data Analysis Algorithm 325

Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Analytics Vidhya

JULY 12, 2023

One often encounters datasets with categorical variables in data analysis and machine learning. However, many machine learning algorithms require numerical input. These variables represent qualitative attributes rather than numerical values. This is where label encoding comes into play.

Python 269

Python Machine Learning Machine Learning Data Analysis 269

Data Science Dojo

NOVEMBER 25, 2024

Live Data Analysis: Applications that can analyze and act on continuously flowing data, such as financial market updates, weather reports, or social media feeds, in real-time. Latency While streaming promises real-time processing, it can introduce latency, particularly with large or complex data streams.

AI 345

AI AI Predictive Analytics Python 345

Analytics Vidhya

OCTOBER 26, 2023

It is used to handle complex tasks, like data manipulation matrix, data analysis, algorithm implementation, etc. Well, It is a multi-purpose programming language that contains its own set of libraries and IDE (Integrated Development Environment). Now, let’s […] The post What is MATLAB?

Data Analysis 235

Data Analysis Data Analysis Algorithm Analytics 235

Analytics Vidhya

MAY 18, 2023

Data mining and machine learning are two closely related yet distinct fields in data analysis. What is data mining vs machine learning? This article aims to shed light on […] The post Data Mining vs Machine Learning: Choosing the Right Approach appeared first on Analytics Vidhya.

Data Mining 337

Data Mining Data Mining Data Mining Machine Learning 337

Smart Data Collective

FEBRUARY 9, 2022

Using the DirectX analytics interface can enable you to pick out important trading insights and points, which simplifies algorithmic trading. For example, when your trading algorithm makes losses or a particular threshold or condition is met. Helps in the design of simple geometric shapes for visual data analysis.

Analytics 145

Analytics Algorithm Analytics Data Analysis 145

Data Science Dojo

SEPTEMBER 25, 2024

By leveraging AI-powered algorithms, media producers can improve production processes and enhance creativity. Some key benefits of integrating the production process with AI are as follows: Personalization AI algorithms can analyze user data to offer personalized recommendations for movies, TV shows, and music.

AI 432

AI AI Algorithm Artificial Intelligence 432

Data Science Dojo

APRIL 18, 2024

E-commerce platforms like Amazon collect data from various sources, including browsing history, what customers purchase, and how they interact with the site. This extensive data collection helps Amazon understand what products to recommend and how to personalize the homepage for each user.

AI 397

AI AI Predictive Analytics Artificial Intelligence 397

Dataconomy

DECEMBER 24, 2024

By using intelligent algorithms, real-time data analysis, and even emotional cues, AI has emerged as the ultimate networking wingman. AI-driven personalization takes away the guesswork: Smart recommendations: Algorithms suggest connections based on mutual goals, skills, or industries.

AI 103

AI AI Algorithm Artificial Intelligence 103

Analytics Vidhya

FEBRUARY 4, 2023

One of the most promising areas within AI in healthcare is Natural Language Processing (NLP), which has the potential to revolutionize patient care by facilitating more efficient and accurate data analysis and communication.

Natural Language Processing 291

Natural Language Processing Artificial Intelligence Artificial Intelligence Data Analysis 291

Analytics Vidhya

JULY 21, 2024

These tests allow data scientists to validate hypotheses, compare groups, identify relationships, and make predictions with confidence. Whether you’re analyzing customer behavior, optimizing algorithms, […] The post 5 Statistical Tests Every Data Scientist Should Know appeared first on Analytics Vidhya.

Data Scientist 347

Data Scientist Data Science Algorithm Analytics 347

Analytics Vidhya

JANUARY 31, 2023

But are they still useful without the data? The machine learning algorithms heavily rely on data that we feed to them. The quality of data we feed to the algorithms […] The post Practicing Machine Learning with Imbalanced Dataset appeared first on Analytics Vidhya. The answer is No.

Machine Learning 318

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 318

Data Science Dojo

AUGUST 27, 2024

Libraries and Tools: Libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Tableau are like specialized tools for data analysis, visualization, and machine learning. Data Cleaning and Preprocessing Before analyzing data, it often needs a cleanup. Normalization: Making data consistent and comparable.

Data Scientist 273

Data Scientist Data Science Machine Learning Machine Learning 273

Dataconomy

MARCH 11, 2025

The concept of a target function is an essential building block in the realm of machine learning, influencing how algorithms interpret data and make predictions. By serving as a guide, the target function enables AI systems to forecast outcomes based on training data. Input (I): The data fed into the algorithm for analysis.

Machine Learning 91

Machine Learning Machine Learning Deep Learning Deep Learning 91

Analytics Vidhya

MAY 29, 2022

Introduction on RFM Analysis This article aims to take you through the important concept of Customer Segmentation using RFM Analysis and how it can be done using machine learning. The algorithms we will be using are RFM analysis and comparing it with the […].

Machine Learning 367

Machine Learning Machine Learning Data Science Algorithm 367

Data Science Dojo

OCTOBER 23, 2023

The Power of Embeddings with Vector Search Embeddings are a powerful tool for representing data in an easy-to-understand way for machine learning algorithms. Master ChatGPT for Data Analysis and Visualization! What are some of the benefits of using the ChatGPT API to build AI applications?

Database 343

Database Data Analysis Data Analysis Artificial Intelligence 343

Analytics Vidhya

FEBRUARY 10, 2024

Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya. And why should one consider specializing in it? This blog post aims to answer these questions and more.

Data Science 357

Data Science Algorithm Analytics Analytics 357

Dataconomy

MARCH 11, 2025

The elegance of linear regression lies in its simplicity, making it accessible for those exploring the world of data analysis. Understanding supervised learning In supervised learning, algorithms learn from training data that includes input-output pairs. What is linear regression?

Supervised Learning 91

Supervised Learning Machine Learning Machine Learning Exploratory Data Analysis 91

Dataconomy

MAY 17, 2024

The data analysis, pattern recognition, and decision-making functionalities in AI have produced remarkable efficiencies and ideas. However, ethical concerns have risen to dominate as these artificial intelligence systems including machine learning algorithms penetrate our daily lives.

Machine Learning 121

Machine Learning Machine Learning Algorithm Artificial Intelligence 121

Dataconomy

APRIL 3, 2025

Researchers have extensively utilized this dataset to develop and refine algorithms capable of recognizing and classifying objects within visual inputs. Data analysis: Enabling automated data collection for better insights and decision-making.

Machine Learning 91

Machine Learning Machine Learning Algorithm Data Analysis 91

Dataconomy

MARCH 26, 2024

The data analysis, pattern recognition, and decision-making functionalities in AI have produced remarkable efficiencies and ideas. However, ethical concerns have risen to dominate as these artificial intelligence systems including machine learning algorithms penetrate our daily lives.

Machine Learning 127

Machine Learning Machine Learning Algorithm Artificial Intelligence 127

Data Science Dojo

JUNE 10, 2024

Here are some key ways data scientists are leveraging AI tools and technologies: 6 Ways Data Scientists are Leveraging Large Language Models with Examples Advanced Machine Learning Algorithms: Data scientists are utilizing more advanced machine learning algorithms to derive valuable insights from complex and large datasets.

Data Scientist 195

Data Scientist Natural Language Processing Machine Learning Machine Learning 195