Analytics Vidhya

SEPTEMBER 9, 2021

When we perform an analysis on a sample through exploratory data analysis and inferential statistics we get information about the sample. The post Everything you need to know about Hypothesis Testing in Machine Learning appeared first on Analytics Vidhya. Now, we want to use this information to predict values […].

Machine Learning 369

Machine Learning Testing Statistics Data Science 369

Analytics Vidhya

AUGUST 5, 2022

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. Hypothesis testing is used to look if there is any significant relationship, and we report it using a p-value.

Statistics 371

Statistics Measurement Testing Data Science 371

Analytics Vidhya

JANUARY 24, 2023

Introduction Statistical models are significant for understanding and predicting complex data. A viable area for statistical modeling is time-series analysis. Statistical models […] The post Learning Time Series Analysis & Modern Statistical Models appeared first on Analytics Vidhya.

Statistics 315

Statistics Modeling Finance Technology 315

Analytics Vidhya

AUGUST 30, 2022

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. It provides […].

Statistics 331

Statistics Data Science Publishing Analytics 331

Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.

Machine Learning 379

Machine Learning Finance Marketing Analytics 379

Analytics Vidhya

APRIL 23, 2021

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. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Statistics 296

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Analytics Vidhya

JUNE 26, 2023

Introduction “Data Science” and “Machine Learning” are prominent technological topics in the 25th century. They are utilized by various entities, ranging from novice computer science students to major organizations like Netflix and Amazon. appeared first on Analytics Vidhya.

Machine Learning 309

Machine Learning Data Science Measurement Big Data 309

KDnuggets

AUGUST 14, 2019

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.

Machine Learning 119

Machine Learning Statistics Modeling IT 119

Analytics Vidhya

MARCH 16, 2021

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

Machine Learning 373

Machine Learning Data Science Publishing Analytics 373

Analytics Vidhya

FEBRUARY 25, 2021

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. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Machine Learning 397

Machine Learning Data Science Publishing Analytics 397

Analytics Vidhya

NOVEMBER 24, 2020

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. This article was published as a part of the Data Science Blogathon.

Machine Learning 368

Machine Learning Metrics Data Science Publishing 368

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Machine Learning 205

Machine Learning Key Performance Indicator Optimization Analytics 205

KDnuggets

FEBRUARY 23, 2023

Knowing these 5 statistical paradoxes is essential for data scientists to improve their analyses and machine learning models.

Statistics 156

Statistics Machine Learning Modeling Data Science 156

Analytics Vidhya

APRIL 28, 2020

The post Statistics for Data Science: What is Normal Distribution? Introduction to the Normal Distribution Have you heard of the bell curve? It tends to be among the most discussed water-cooler topics among people. appeared first on Analytics Vidhya.

Statistics 378

Statistics Data Science Analytics IT 378

Analytics Vidhya

JUNE 27, 2021

The post Feature Selection using Statistical Tests appeared first on Analytics Vidhya. 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.

Statistics 221

Statistics Testing Data Science Publishing 221

Analytics Vidhya

SEPTEMBER 29, 2020

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

Machine Learning 374

Machine Learning Modeling Data Science Publishing 374

Analytics Vidhya

JUNE 14, 2021

The post Introductory Statistics for Data Science! 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. appeared first on Analytics Vidhya.

Statistics 222

Statistics Data Science Publishing Analytics 222

Analytics Vidhya

MARCH 19, 2024

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. Are you excited to explore the amazing field of data science? You’re in the proper location!

Data Science 314

Data Science Statistics Machine Learning Analytics 314

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.

Machine Learning 220

Machine Learning Risk Management Statistics 220

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 94

Machine Learning Marketing Strategy Optimization 94

Analytics Vidhya

OCTOBER 12, 2020

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. This article was published as a part of the Data Science Blogathon.

Machine Learning 296

Machine Learning Metrics Predictive Modeling Data Science 296

DataCamp

MAY 5, 2020

This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data.

Machine Learning 96

Machine Learning Statistics Testing Measurement 96

KDnuggets

JUNE 29, 2022

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

Statistics 146

Statistics Data Science Machine Learning 146

Analytics Vidhya

MAY 21, 2021

The post Complete Guide to Regularization Techniques in Machine Learning appeared first on Analytics Vidhya. 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.

Machine Learning 224

Machine Learning Data Science Publishing Analytics 224

KDnuggets

MARCH 28, 2023

Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

Machine Learning 127

Machine Learning Deep Learning Statistics 127

Analytics Vidhya

JUNE 1, 2021

The post How to Learn Mathematics For Machine Learning? 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. What Concepts do You Need to Master in Data Science? appeared first on Analytics Vidhya.

Machine Learning 348

Machine Learning Data Science Publishing Analytics 348

Rocket-Powered Data Science

JULY 30, 2018

Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition). Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition).

Machine Learning 197

Machine Learning Deep Learning Statistics Data Processing 197

Analytics Vidhya

MARCH 8, 2023

Introduction Statistics can be traced back to the mid-18th century, while Data Science is a relatively new concept. The term Data science was created in the 1960s and is deeply rooted in statistics but now has evolved into artificial intelligence, machine learning, etc.

Statistics 314

Statistics Machine Learning Data Science Analytics 314

KDnuggets

MAY 25, 2022

Check out this curated list of the most used data science terminology and get a leg up on your learning.

Data Science 135

Data Science Machine Learning Statistics 135

Analytics Vidhya

AUGUST 5, 2019

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

Machine Learning 308

Machine Learning Metrics Modeling Analytics 308

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 244

Machine Learning Modeling Data Science Publishing 244

KDnuggets

FEBRUARY 28, 2024

Begin your data professional journey from the basics of statistics to building a production-grade AI application.

Machine Learning 158

Machine Learning Data Science Statistics 158

Analytics Vidhya

MARCH 26, 2023

Introduction R is a powerful and versatile programming language used for statistical analysis, data visualization, and machine learning. The success of a data analysis project relies on properly importing the data into R.

Statistics 306

Statistics Machine Learning Visualization Analytics 306

O'Reilly on Data

SEPTEMBER 27, 2018

They recently wrote a survey paper, “A Critical Review of Fair Machine Learning,” where they carefully examined the standard statistical tools used to check for fairness in machine learning models. Continue reading Why it’s hard to design fair machine learning models.

Machine Learning 195

Machine Learning Modeling Statistics IT 195

Analytics Vidhya

OCTOBER 6, 2020

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. This article was published as a part of the Data Science Blogathon.

Statistics 284

Statistics Data Science Publishing Analytics 284

Analytics Vidhya

JULY 5, 2022

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%. This article was published as a part of the Data Science Blogathon.

Statistics 343

Statistics Machine Learning Data Science Publishing 343

Analytics Vidhya

AUGUST 13, 2019

And how do they work in machine learning algorithms? 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? Find out in this article Loss functions are actually at.

Machine Learning 304

Machine Learning Analytics Statistics 304