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

Dataconomy

DECEMBER 25, 2024

The global predictive analytics market in healthcare, valued at $11.7 This blog examines predictive healthcare analytics, explaining what it is, how it works, and its applications. What is predictive healthcare analytics? How does predictive analytics work in healthcare? billion in 2022, is expected to grow at 24.4%

Analytics 91

Analytics Analytics Predictive Analytics Machine Learning 91

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

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

MARCH 17, 2025

Augmented analytics is revolutionizing how organizations interact with their data. By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. What is augmented analytics?

Augmented Analytics 91

Augmented Analytics Analytics Analytics Natural Language Processing 91

Data Science Dojo

NOVEMBER 25, 2024

Artificial intelligence (AI) and natural language processing (NLP) technologies are evolving rapidly to manage live data streams. They power everything from chatbots and predictive analytics to dynamic content creation and personalized recommendations.

AI 369

AI AI Predictive Analytics Python 369

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

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 310

Python Data Analysis Data Analysis Algorithm 310

Analytics Vidhya

JANUARY 19, 2023

Introduction What is Churn Analytics? And how do telecommunication companies effectively use this analysis in day-to-day activities? Learn from the industry expert Sakshi Gujral who will take you through all the essential details and give you some tips on improving churn analytics results when used practically.

Analytics 291

Analytics Analytics Data Analysis Data Analysis 291

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. appeared first on Analytics Vidhya. These variables represent qualitative attributes rather than numerical values.

Python 269

Python Machine Learning Machine Learning Data Analysis 269

Smart Data Collective

FEBRUARY 9, 2022

Analytics technology has become an invaluable aspect of modern financial trading. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Unfortunately mastering the nuances of financial analytics tools isn’t easy.

Analytics 145

Analytics Algorithm Analytics Data Analysis 145

FlowingData

SEPTEMBER 27, 2022

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. Tags: analysis , principle.

Data Analysis 141

Data Analysis Data Analysis Data Visualization Data Analyst 141

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

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

Analytics Vidhya

OCTOBER 26, 2023

It is used to handle complex tasks, like data manipulation matrix, data analysis, algorithm implementation, etc. Working, Functions, and Applications appeared first on Analytics Vidhya. Now, let’s […] The post What is MATLAB?

Data Analysis 235

Data Analysis Data Analysis Algorithm Analytics 235

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 350

Data Scientist Data Science Algorithm Analytics 350

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. This blog post aims to answer these questions and more.

Data Science 357

Data Science Algorithm Analytics Analytics 357

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

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

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

Data Science Dojo

APRIL 18, 2024

Efficiency in Operations : AI helps e-commerce businesses streamline operations by automating customer support with chatbots and optimizing inventory management through predictive analytics. 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

Smart Data Collective

SEPTEMBER 17, 2020

Would your business benefit from the use of data analysis? What is Data Analysis? The term data analysis refers to the recovery of useful information from data. How is Data Analysis Undertaken? Why Should You Use Data Analysis?

Data Analysis 129

Data Analysis Data Analysis Algorithm Analytics 129

Dataconomy

APRIL 16, 2025

Composable analytics is transforming the data analytics landscape by offering organizations the ability to build their unique analytics solutions. What is composable analytics? Data ingestion: Tools gather data from various sources, providing a holistic view of organizational data.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

Data Science Dojo

MAY 10, 2023

As the volume and complexity of data continue to surge, the demand for skilled professionals who can derive meaningful insights from this wealth of information has skyrocketed. Salary Trends – The average salary for data scientists ranges from $100,000 to $150,000 per year, with senior-level positions earning even higher salaries.

Data Science 366

Data Science Data Scientist Database Administration Machine Learning 366

Smart Data Collective

OCTOBER 8, 2023

In such a murky pool, the application of data analytics emerges as an invaluable tool. This article delves into the profound impact data analytics can have on fast food legal cases. In the realm of legal affairs, data analytics can serve as a strategic ally. However, accidents can, and do, happen.

Analytics 125

Analytics Analytics Data Analysis Data Analysis 125

Dataconomy

DECEMBER 17, 2024

Implementing data-driven strategies can unlock many benefits, from enhancing decision-making with actionable insights and increasing operational efficiency to improving customer experiences and driving innovative solutions. Data analytics enables companies to make strategic decisions based on solid evidence.

Data Analysis 91

Data Analysis Data Analysis Analytics Analytics 91

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 448

AI AI Algorithm Artificial Intelligence 448

Analytics Vidhya

MAY 17, 2023

By leveraging a machine learning algorithm and an importance-ranking metric, RFE evaluates each feature’s impact […] The post Recursive Feature Elimination: Working, Advantages & Examples appeared first on Analytics Vidhya.

Machine Learning 277

Machine Learning Machine Learning Algorithm Analytics 277

Smart Data Collective

AUGUST 29, 2022

Did you know that 53% of companies use data analytics technology ? Machine Learning Helps Companies Get More Value Out of Analytics. There are a lot of benefits of using analytics to help run a business. You will get even more value out of analytics if you leverage machine learning at the same time.

ML 132

ML ML Analytics Analytics 132

Dataconomy

JULY 14, 2023

This evolution is currently taking a new turn with the introduction of AI tools and big data analytics to the niche. It’s just a matter of time until AI and big data analytics will be used all over, for each new influencer marketing campaign by every brand. It’s good that a lot of them can be delegated to AI.

Big Data Analytics 172

Big Data Analytics Big Data Analytics Big Data Big Data 172

Data Science Dojo

APRIL 27, 2023

This blog lists down-trending data science, analytics, and engineering GitHub repositories that can help you with learning data science to build your own portfolio.  What is GitHub? GitHub is a powerful platform for data scientists, data analysts, data engineers, Python and R developers, and more.

Data Science 195

Data Science Analytics Analytics Power BI 195

Data Science Dojo

NOVEMBER 5, 2024

Here’s a quick look at how it caters to professionals from diverse fields: Data Professionals As a data professional, you can join the bootcamp to enhance your skills in data management, visualization, and analytics. Our comprehensive training will empower you to handle and interpret complex datasets.

Data Science 195

Data Science Azure Natural Language Processing Database 195

Dataconomy

MAY 29, 2024

It seems futuristic, but predictive analytics makes it a reality. Now, let’s dive into the fascinating world of predictive analytics in education and see how it can make a real difference. Predictive analytics: An overview Predictive analytics is the practice of gathering and examining data to predict future events.

Predictive Analytics 127

Predictive Analytics Machine Learning Machine Learning Analytics 127

Smart Data Collective

MAY 29, 2022

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. Companies need all of this data in a structured manner to improve their decision—making capabilities.

Analytics 145

Analytics Analytics Artificial Intelligence Artificial Intelligence 145