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

Statistical Methods and Machine Learning Algorithms for Data Scientists

DataFloq

There are statistical methods and machine learning algorithms for data scientists which help them provide training to computers to find information with minimum programming. The mining of useful data from big data sets is done by professional big data analysts.

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.

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.

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.

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 […].

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?

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.

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.

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.

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

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.

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.

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.

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 ?

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?

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.

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

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

UI Alerts and Statistics

Nutanix

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

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.

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

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.

Which Data Science Skills are core and which are hot/emerging ones?

KDnuggets

2019 Sep Opinions Career Data Science Skills Data Visualization Deep Learning Excel Machine Learning Python PyTorch Scala Skills Statistics TensorFlow

Extending Hive Replication: Transactional Tables, External Tables, and Statistics

Cloudera

ACID tables), external tables and statistics associated with all kinds of tables. Statistics. Statistics are vital for query planning and optimization. Query planner uses statistics to choose the fastest possible execution plan for a given query.

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.

P-values Explained By Data Scientist

KDnuggets

2019 Jul Tutorials, Overviews Data Science Data Scientist P-value StatisticsThis article is designed to give you a full picture from constructing a hypothesis testing to understanding p-value and using that to guide our decision making process.

What is Poisson Distribution?

KDnuggets

2019 Aug Tutorials, Overviews Distribution Probability StatisticsAn solid overview of the Poisson distribution, starting from why it is needed, how it stacks up to binomial distribution, deriving its formula mathematically, and more.

IT 83

How Bad is Multicollinearity?

KDnuggets

2019 Sep Tutorials, Overviews Analytics Regression StatisticsFor some people anything below 60% is acceptable and for certain others, even a correlation of 30% to 40% is considered too high because it one variable may just end up exaggerating the performance of the model or completely messing up parameter estimates.

Inside the Mind and Methodology of a Data Scientist

Birst BI

A foundational data analysis tool is Statistics , and everyone intuitively applies it daily. Statistics provides the mathematical foundation to determine how data behaves and when it is exceptional.

Bootstrapping the right way?

Data Science and Beyond

Data science analytics data science software engineering statisticsBootstrapping the right way is a talk I gave earlier this year at the YOW! Data conference in Sydney. You can now watch the video of the talk and have a look through the slides.

Variety is the Secret Sauce for Big Discoveries in Big Data

Rocket-Powered Data Science

Big Data Data Science Analytics Machine Learning StatisticsWhen I was out for a walk recently, I heard a loud low-flying aircraft passing overhead. This was not unusual since we live in the flight path of planes landing at a major international airport about 10 miles from our home.

Hackers beware: Bootstrap sampling may be harmful

Data Science and Beyond

Bootstrap sampling techniques are very appealing, as they don’t require knowing much about statistics and opaque formulas. Instead, all one needs to do is resample the given data many times, and calculate the desired statistics.