Statistics 101: Introduction to the Central Limit Theorem (with implementation in R)

Analytics Vidhya

Introduction What is one of the most important and core concepts of statistics that enables us to do predictive modeling, and yet it often. The post Statistics 101: Introduction to the Central Limit Theorem (with implementation in R) appeared first on Analytics Vidhya.

Statistical Modelling vs Machine Learning

KDnuggets

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. 2019 Aug Opinions Uncategorized Advice Data Science Machine Learning Statistics

Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R)

Analytics Vidhya

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, The post Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R) appeared first on Analytics Vidhya. R Statistics Hypothesis Testing Inferential Statistics statistics t-test

Descriptive Statistics in Python for Understanding Your Machine Learning Data

DataFloq

Statistics has its own significance in data science, but it’s not the only thing which data scientists have to deal with. Statistics are of two kinds – Bayesian and Classical. The method SCD has its grounding in matrix math and hardly need classical statistics.

Quantifying a Culture of Innovation

5 Statistical Traps Data Scientists Should Avoid

KDnuggets

Here are five statistical fallacies — data traps — which data scientists should be aware of and definitely avoid. 2019 Oct Tutorials, Overviews Bias Fallacies Simpson's Paradox Statistics

Statistics Changing Marketing Strategies

TDAN

When it comes to marketing, business owners need to be fast in adjusting their strategies to fit the continuous advancement in technologies. Today, nearly everyone has a mobile phone or another smart mobile device with them at all times.

Descriptive Statistics and Data Visualization

TDAN

Turn Your Statistics Into Something More Interesting Data is quickly becoming a defining thing in the business world. A company which doesn’t pay attention to proper statistics can be at a serious disadvantage from companies who do, especially companies that […].

Statistical Thinking for Industrial Problem Solving: a free online course

KDnuggets

2019 Oct Courses, Education JMP Online Education StatisticsThis online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

What’s the difference between analytics and statistics?

KDnuggets

2019 Sep Opinions Analytics Explained StatisticsFrom asking the best questions about data to answering those questions with certainty, understanding the value of these two seemingly different professions is clarified when you see how they should work together.

A Data Scientist’s Guide to 8 Types of Sampling Techniques

Analytics Vidhya

Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of. Statistics Descriptive statistics different kinds of sampling Inferential Statistics random sampling Sampling statisticsThe post A Data Scientist’s Guide to 8 Types of Sampling Techniques appeared first on Analytics Vidhya.

What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code

Analytics Vidhya

R Statistics Technique chi-square test statistical tests statistics statistics for data science statistics in ROverview What is the chi-square test? How does it work? Learn about the different types of Chi-Square tests and where and when you should.

Everything you Should Know about p-value from Scratch for Data Science

Analytics Vidhya

Statistics how to calculate p-value p value p-value from scratch p-value statistics statisticsOverview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more.

An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals

Analytics Vidhya

Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, The post An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals appeared first on Analytics Vidhya. Probability Statistics bayes theorem Bayesian Statistics conditional probability data science probability statistics statistics for data science

A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code

Analytics Vidhya

Machine Learning Python Statistics loss functions loss functions machine learning loss functions statistics machine learning regression loss statisticsOverview What are loss functions? And how do they work in machine learning algorithms?

Statistical Thinking for Industrial Problem Solving – a free online course

KDnuggets

2019 Dec Events JMP Online Education StatisticsThis online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

Machine Learning Vs. Statistical Learning

Perficient Data & Analytics

Most of the time as a data scientist I get asked the question, what is the difference between Machine Learning and Statistical Learning? To become a data scientist, you are quired to develop knowledge in multiple subjects such as Statistics, Programming, SQL, Linear Algebra and have the domain expertise. Hopefully, you will start your journey with Statistics, and most of the data scientists believe that this is the foundation in Data Science and I cannot disagree with them.

Why data analysts should choose stories over statistics

KDnuggets

Join the Crunch Data Conference in Budapest, Oct 16-18, with stellar speakers from companies like Facebook, Netflix and LinkedIn. Use the discount code ‘KDNuggets’ to save $100 off your conference ticket.

How and when to calculate statistical significance

Mixpanel on Data

Few professionals assess the statistical accuracy of their studies. What keeps teams from checking the statistical significance of their results? What is a statistical significance test? There are a wide variety of biases to consider when assessing a statistical test.

Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings!

Analytics Vidhya

Machine Learning Statistics amazon review system bayes theorem bayesian statistics bayesian stats data science online reviews statisticsOverview Curious how the big product companies like Amazon, Walmart, AirBnb, etc. manage the ratings we see? The core idea behind these ratings systems. The post Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings! appeared first on Analytics Vidhya.

Statistical Thinking for Industrial Problem Solving (STIPS) – a free online course.

KDnuggets

2019 Aug Courses, Education JMP Online Education StatisticsThis online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

Guest Post: Galin Jones on criteria for promotion and tenture in (bio)statistics departments

Simply Statistics

After giving my talk Galin Jones , Professor and Director of Statistics at University of Minnesota, and I had an interesting conversation about how they had changed their promotion criteria in response to a faculty candidate being unique. This is often code for publishing as many articles as possible in the big four journals–JASA, Biometrika, JRSSB, and the Annals of Statistics.

2 ways to harness the power of SPSS Statistics

IBM Big Data Hub

In this blog, we’ll look at the differences between an SPSS Statistics Subscription and the traditional on-premises license that was the only way to purchase SPSS Statistics up until 2017.

KDnuggets™ News 19:n42, Nov 6: 5 Statistical Traps Data Scientists Should Avoid; 10 Free Must-Read Books on AI

KDnuggets

Learn about statistical fallacies Data Scientists should avoid; New and quite amazing Deep Learning capabilities FB has been quietly open-sourcing; Top Machine Learning tools for Developers; How to build a Neural Network from scratch and more. KDnuggets 2019 Issues AI Free ebook Mistakes Statistics

Statistics for Google Sheets

The Unofficial Google Data Science Blog

The statistics app for Google Sheets hopes to change that. Editor's note: We've mostly portrayed data science as statistical methods and analysis approaches based on big data. hope to replace R, SAS, or similar packages designed by and for statistics experts. Statistics ?

DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform

Analytics Vidhya

Analytics Vidhya Career Data Science data science questions data science quiz Datamin machine learning machine learning quiz statistics statistics quizWe are thrilled to announce the launch of the world’s biggest online data science quizzing platform: Datamin! Do you feel some of your peers. The post DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform appeared first on Analytics Vidhya.

Why data and analytics experts choose SPSS Statistics

IBM Big Data Hub

While I won’t be able to save the world just yet, I’d like to explain how statistical analysts and data experts use tools to understand data and how this data can then be managed to influence our environment One could argue that many of the world’s problems can be solved with data.

What is Descriptive Statistics and How Do You Choose the Right One for Enterprise Analysis?

Smarten

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? How Does One Choose the Right Descriptive Statistics Algorithm for Enterprise Analysis?

UI Alerts and Statistics

Nutanix

How do we manage a very large and complex product that could potentially have hundreds or thousands of entities

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Analytics Vidhya

Machine Learning Python Statistics AUC concordant ratio confusion matrix cross-validation discordant ratio error metrics gain and lift charts gini coefficient k fold validation kolmogorov smirnov charts Predictive modeling ROC

Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games

Analytics Vidhya

Intermediate Probability Reinforcement Learning Statistics Game Theory game theory for AI Mixed Strategy Nash Equilibria Pure Strategy Reinforcement Simultaneous Games

UI Alerts and Statistics

Nutanix

How do we manage a very large and complex product that could potentially have hundreds or thousands of entities

UI Alerts and Statistics

Nutanix

How do we manage a very large and complex product that could potentially have hundreds or thousands of entities

Top Stories, Oct 28 – Nov 3: 5 Statistical Traps Data Scientists Should Avoid; Top Machine Learning Software Tools for Developers

KDnuggets

Data Sources 101; 5 Statistical Traps Data Scientists Should Avoid; Everything a Data Scientist Should Know About Data Management; How to Become a (Good) Data Scientist — Beginner Guide. Also: Why is Machine Learning Deployment Hard?; 2019 Nov Top Stories, Tweets Top stories

Build Better and Accurate Clusters with Gaussian Mixture Models

Analytics Vidhya

Algorithm Clustering Intermediate Machine Learning Python Statistics Structured Data Technique Unsupervised clustering EM expectation maximization Gaussian Distribution gaussian mixture models GMM kmeans Probability density function python

Beta Distribution: What, When & How

KDnuggets

2019 Sep Tutorials, Overviews Distribution Probability StatisticsThis article covers the beta distribution, and explains it using baseball batting averages.

IT 87

How to Become a (Good) Data Scientist – Beginner Guide

KDnuggets

A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning. 2019 Oct Opinions Beginner BI Data Scientist Sciforce Statistics

An Overview of Density Estimation

KDnuggets

2019 Oct Tutorials, Overviews Generative Adversarial Network Probability StatisticsDensity estimation is estimating the probability density function of the population from the sample. This post examines and compares a number of approaches to density estimation.

Excellent Analytics Tip#1: Statistical Significance

Occam's Razor

Leverage the power of Statistics. Applying statistics tells us that the results, the two conversion rates, are just 0.995 standard deviations apart and not statistically significant. Applying statistics will now tell us that the two numbers are 1.74 standard deviations apart and the results rate 95% statistically significant. Either something is Statistically Significant, and we take action, or we say it is not Significant and let's try something else.

6 bits of advice for Data Scientists

KDnuggets

2019 Sep Opinions Advice Data Cleaning Data Scientist Metrics Overfitting StatisticsAs a data scientist, you can get lost in your daily dives into the data. Consider this advice to be certain to follow in your work for being diligent and more impactful for your organization.