Analytics Vidhya

AUGUST 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction As Josh Wills once said, “A Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician“ Statistics is a fundamental tool when dealing with data and its analysis in Data Science.

Statistics 343

Statistics Data Science Publishing Analytics 343

Analytics Vidhya

AUGUST 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the most important applications of Statistics is looking into how two or more variables relate. The post Statistical Effect Size and Python Implementation appeared first on Analytics Vidhya.

Statistics 357

Statistics Measurement Testing Data Science 357

Analytics Vidhya

APRIL 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Statistics is the heart of Machine Learning Statistical methods. The post 25 Probability and Statistics Questions to Ace your Data Science Interviews appeared first on Analytics Vidhya.

Statistics 306

Statistics Data Science Machine Learning Publishing 306

Analytics Vidhya

MARCH 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction This article assumes that you possess a basic knowledge. The post Machine Learning with Python- Gaussian Naive Bayes appeared first on Analytics Vidhya.

Machine Learning 369

Machine Learning Data Science Publishing Analytics 369

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.

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Statistics Machine Learning Data Science Modeling 149

Analytics Vidhya

FEBRUARY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Learn about the decision tree algorithm in machine learning, The post Machine Learning 101: Decision Tree Algorithm for Classification appeared first on Analytics Vidhya.

Machine Learning 380

Machine Learning Data Science Publishing Analytics 380

Analytics Vidhya

NOVEMBER 24, 2020

This article was published as a part of the Data Science Blogathon. A Tour of Evaluation Metrics for Machine Learning After we train our. The post A Tour of Evaluation Metrics for Machine Learning appeared first on Analytics Vidhya.

Machine Learning 333

Machine Learning Metrics Data Science Publishing 333

Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data Science is an interdisciplinary field that uses various algorithms. The post Introductory Statistics for Data Science! appeared first on Analytics Vidhya.

Statistics 217

Statistics Data Science Publishing Analytics 217

Analytics Vidhya

OCTOBER 12, 2020

This article was published as a part of the Data Science Blogathon. Introduction Machine learning is about building a predictive model using historical data. The post Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning appeared first on Analytics Vidhya.

Machine Learning 306

Machine Learning Metrics Predictive Modeling Data Science 306

KDnuggets

DECEMBER 5, 2023

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

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Statistics Testing Optimization Machine Learning 115

Analytics Vidhya

SEPTEMBER 29, 2020

This article was published as a part of the Data Science Blogathon. The post How Machine Learning Models Fail to Deliver in Real-World Scenarios appeared first on Analytics Vidhya. Introduction Yesterday, my brother broke an antique at home. I began to.

Machine Learning 322

Machine Learning Modeling Data Science Publishing 322

Analytics Vidhya

MAY 19, 2024

Introduction This article highlights 10 exceptional YouTube channels that provide comprehensive tutorials, practical guidance, and engaging content for mastering Python programming. These channels cover various aspects of Python, from statistics to machine learning, AI, and data science.

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Statistics Machine Learning Data Science Analytics 316

Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Are you an aspiring data scientist who is fascinated by how. The post How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science? appeared first on Analytics Vidhya.

Machine Learning 358

Machine Learning Data Science Publishing Analytics 358

KDnuggets

JUNE 29, 2022

In this article, we discuss the importance of statistics and probability in data science and machine learning.

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Statistics Data Science Machine Learning 153

Analytics Vidhya

JUNE 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Feature Selection is the process of selecting the features which. The post Feature Selection using Statistical Tests appeared first on Analytics Vidhya.

Statistics 178

Statistics Testing Data Science Publishing 178

O'Reilly on Data

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Let’s begin by looking at the state of adoption.

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Machine Learning Risk Management Statistics 224

Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction One of the most common problems every Data Science practitioner. The post Complete Guide to Regularization Techniques in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 190

Machine Learning Data Science Publishing Analytics 190

Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Imbalanced Datasets The accuracy achieved by many of the machine learning models using traditional statistical algorithms increases by just around 2% or so when the size of the training dataset is increased from 20% to 80%.

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Statistics Machine Learning Data Science Publishing 351

Analytics Vidhya

OCTOBER 6, 2020

This article was published as a part of the Data Science Blogathon. Introduction The first step in a data science project is to summarize, The post A Quick Guide to Descriptive Statistical Analysis – The First Step in Exploring your Data appeared first on Analytics Vidhya.

Statistics 290

Statistics Data Science Publishing Analytics 290

Smart Data Collective

SEPTEMBER 13, 2023

Machine Learning is Crucial for Success in Digital Marketing If you have a Spotify or Netflix account, you have probably noticed a trend. If yes, then you will be amazed to learn that this is all machine learning. Now read on to learn more about machine learning and digital marketing.

Machine Learning 102

Machine Learning Marketing Strategy Optimization 102

Analytics Vidhya

AUGUST 13, 2019

And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at. The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya. Overview What are loss functions?

Machine Learning 303

Machine Learning Analytics Statistics 303

Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Whenever we build any machine learning model, we feed it. The post 4 Ways to Evaluate your Machine Learning Model: Cross-Validation Techniques (with Python code) appeared first on Analytics Vidhya.

Machine Learning 212

Machine Learning Modeling Data Science Publishing 212

Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. These include statistics, machine learning, probability, data visualization, data analysis, and behavioral questions. Introduction You may be asked questions on various topics in a data science interview.

Data Science 363

Data Science Statistics Machine Learning Visualization 363

Analytics Vidhya

NOVEMBER 27, 2021

This article was published as a part of the Data Science Blogathon. Statistics plays an important role in the domain of Data Science. It is a significant step in the process of decision making, powered by Machine Learning or Deep Learning algorithms.

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Testing Statistics Deep Learning Machine Learning 324

Analytics Vidhya

JUNE 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Using the machine learning models in your projects is quite. The post Getting Started with Machine Learning?—?Implementing Implementing Linear Regression from Scratch appeared first on Analytics Vidhya.

Machine Learning 143

Machine Learning Data Science Publishing Modeling 143

Analytics Vidhya

JUNE 6, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In applied Statistics and Machine Learning, Data Visualization is one. The post Must Known Data Visualization Techniques for Data Science appeared first on Analytics Vidhya.

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Visualization Data Science Statistics Machine Learning 398

Analytics Vidhya

JANUARY 29, 2022

This article was published as a part of the Data Science Blogathon. It is a statistical classification algorithm. It boosts the performance of machine learning algorithms. AdaBoost stands for Adaptive Boosting. It is an algorithm that forms a committee of weak classifiers.

Statistics 333

Statistics Machine Learning Data Science Publishing 333

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. As Data scientists, we may understand the algorithm & statistical methods used behind the scene. […].

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Modeling Machine Learning Statistics Data Science 280

Analytics Vidhya

AUGUST 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this blog post, I will summarise graph data science and how simple python commands can get a lot of interesting and excellent insights and statistics. It has become one of the hottest areas to research in data science and machine learning […].

Data Science 256

Data Science Statistics Machine Learning Publishing 256

Analytics Vidhya

DECEMBER 11, 2023

Introduction Data science is a rapidly growing field that combines programming, statistics, and domain expertise to extract insights and knowledge from data. Many resources are available for learning data science, including online courses, textbooks, and blogs.

Data Science 320

Data Science Statistics Analytics Machine Learning 320

Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? The Bottom Line.

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Machine Learning Data mining Visualization Statistics 133

Analytics Vidhya

JUNE 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data science interviews consist of questions from statistics and probability, Linear Algebra, Vector, Calculus, Machine Learning/Deep learning mathematics, Python, OOPs concepts, and Numpy/Tensor operations.

Data Science 250

Data Science Deep Learning Statistics Machine Learning 250

O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. 2] The Security of Machine Learning. [3]

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Machine Learning Modeling Testing Risk Management 196

Smart Data Collective

OCTOBER 8, 2021

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Modern machine learning and back-testing; how quant hedge funds use it.

Machine Learning 117

Machine Learning Testing Strategy Modeling 117

IBM Big Data Hub

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.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Analytics Vidhya

AUGUST 13, 2024

Introduction This article explores violin plots, a powerful visualization tool that combines box plots with density plots. It explains how these plots can reveal patterns in data, making them useful for data scientists and machine learning practitioners.

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Visualization Machine Learning Analytics IT 262

Analytics Vidhya

MAY 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Random Forest Missing values have always been a concern for any statistical analysis. They significantly reduce the study’s statistical powers, which may lead to faulty conclusions.

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Statistics Data Science Publishing Modeling 395