Rocket-Powered Data Science

MARCH 19, 2021

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Another dimension to this story, of course, is the Future of Work discussion, including creation of new job titles and roles, and the demise of older job titles and roles. trillion by 2030.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

FineReport

NOVEMBER 26, 2019

1) Professional statistical analysis. In terms of R language, it is best at statistical analysis, such as normal distribution, using an algorithm to classify clusters and regression analysis. Is it within the statistical controllable range we want to achieve? Top 6 Data Analytics Tools in 2019 shows at FineReport first.

Data Analytics 98

Data Analytics Analytics Statistics Visualization 98

Sisense

DECEMBER 3, 2019

The merger of Periscope Data in May 2019 brings robust functionality for cloud data experts to work with their data as needed while supporting a wide breadth of users and use cases. Sisense Quest is the latest certified add-on from the Sisense Labs team. Enhance your deployment, connect to Athena, and more. Talk to your data.

Analytics 90

Analytics Data Warehouse Digital Transformation Forecasting 90

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. Originally published in 2016, it has a second edition that was published in 2019 that includes a rewritten chapter on qualitative data as well as 9 new chart types and shortcuts on Excel.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

CDW Research Hub

JUNE 5, 2019

Varonis compiled 60 cybersecurity statistics to give you a better idea of the current cybersecurity state, and we’ve broken out five key facts to help you rethink your data security program. Check out Varonis’ full list of 60 Must-Know Cybersecurity Statistics for 2019. Show Me the Money.

Statistics 72

Statistics Risk Management Finance Risk 72

The Data Visualisation Catalogue

JANUARY 20, 2020

2019 has been a busy year for me, hence the lack of posts on this blog. But now that 2019 is over, I had to take the time to cover the most popular chart reference pages on this website for the year. So here are the top ten chart reference pages for 2019: However, how do these results compare to the previous year?

Statistics 63

Statistics Analytics IT 63

DataKitchen

APRIL 28, 2021

Gartner included data fabrics in their top ten trends for data and analytics in 2019. If you have data errors that drive unplanned work, then orchestrate a battery of statistical and process controls that qualify data sources and data processing. From an industry perspective, the topic of data fabrics is on fire. What is a Data Fabric?

Statistics 246

Statistics Optimization Data Analytics Technology 246

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics. and an error term ??

Statistics 31

Statistics Uncertainty Risk Marketing 31

AWS Big Data

DECEMBER 17, 2024

With the introduction of RA3 nodes with managed storage in 2019, customers obtained flexibility to scale and pay for compute and storage independently. General availability of multi-data warehouse writes Amazon Redshift allows you to seamlessly scale with multi-cluster deployments.

Data Lake 90

Data Lake Data Warehouse Data-driven Optimization 90

datapine

NOVEMBER 19, 2019

While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Already in our shortlist of tech buzzwords 2019, artificial intelligence is on the front scene for next year again. Artificial Intelligence (AI). Connected Retail. Hyperautomation.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

KDnuggets

SEPTEMBER 26, 2019

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.

Statistics 111

Statistics Data Science Data Analytics Analytics 111

KDnuggets

SEPTEMBER 6, 2019

From 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.

Statistics 99

Statistics Analytics 99

Smart Data Collective

JUNE 10, 2019

You won’t be able to analyze it or get any meaningful statistics or reports out of it. The post Log Analytics Practices That DevOps Experts Must Embrace In 2019 appeared first on SmartData Collective. While log data is valuable , it is very hard to extract that value if there isn’t some kind of structure to the data.

Analytics 85

Analytics Strategy Statistics Data Processing 85

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Previously, such problems were dealt with by specialists in mathematics and statistics. Statistics, mathematics, linear algebra. Let’s check where you should start!

Data mining 144

Data mining Data Science Informatics Statistics 144

Business Over Broadway

JULY 29, 2020

Analysis of usage of 5 primary tools used to analyze data showed that the top tool used by data professionals to analyze data are local development environments (54%), followed by basic statistical software (20%), cloud-based data software and APIs (8%), advanced statistical software (6%) and business intelligence software (6%).

Statistics 92

Statistics Data Science Business Intelligence Software 92

The Data Visualisation Catalogue

JANUARY 1, 2022

Another year has passed now and a new set of website statistics for 2021 is here, which will reveal what visualisation reference pages are the most popular. It’s always good to analyse the website statistics, as they may provide some indicator of what visualisation types are most commonly being used or taught.

Statistics 106

Statistics IT 106

IBM Big Data Hub

MARCH 9, 2020

According to the 2019 March of Dimes Report Card, premature birth in the State of Ohio occurs at a rate of 10.3 And the statistics become more disturbing from there. In the United States today, 10 percent of children are born premature—three or more weeks before their due date.

Statistics 91

Statistics Reporting 91

Data Science 101

APRIL 12, 2019

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. Even though it is fourth on the list according to statistics, it is still a fantastic company to expand your experience as a data scientist. Checkout: Reltio Careers. #5

Statistics 110

Statistics Data Science Machine Learning Software 110

Smart Data Collective

MARCH 23, 2020

According to the SensorTower statistics , in 2019, a simple arcade game Stack Ball reached 100 million installs and only continued to grow. In 2019, this number increased to 2.4 The number of downloads and purchases increases every minute. PC gaming isn’t going to give up its position either. In 2014, there were about 1.82

Big Data 131

Big Data Recreation/Entertainment Data mining Optimization 131

Smart Data Collective

JANUARY 8, 2021

billion in 2019 and is growing at a pace of 42% a year between 2020 and 2027. It uses statistical inference and mountains of data to train computers to think as humans would. It essentially uses statistics to generate actionable insights and intelligence from information. The market was worth $39.9

Data Governance 144

Data Governance Machine Learning Statistics Advertising 144

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Figure 2: Forecast triangulation Integrating customer forecasts with statistical forecasts In strategic forecasting, the proposed forecast may rely partially on forecasts or assumptions not owned by the data scientist.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

KDnuggets

OCTOBER 16, 2019

A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.

Statistics 123

Statistics Machine Learning Business Intelligence 123

Business Over Broadway

MARCH 8, 2021

US Labor Force Statistics for Selected Occupations. Using data from 2018 and 2019, the US Census Bureau estimates that, for every dollar that men earn, women earn 81.6 In a prior study , I found that men and women possessed comparable proficiency in subject matter expertise, technology and programming and math/statistics.

Data Science 138

Data Science Machine Learning Statistics Reporting 138

The Data Visualisation Catalogue

JANUARY 6, 2023

It’s always worthwhile to analyse the website statistics, as they may provide some indicator of what visualisation types are most commonly being referenced and read up about. Top 10 Charts in 2019. Hope this has been of interest. Previous yearly top-10 posts: Top 10 Charts in 2021. Top 10 Charts in 2020.

Statistics 99

Statistics IT 99

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Spring 2019 Full Stack Deep Learning Bootcamp (Berkeley). We won’t go into the mathematics or engineering of modern machine learning here.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

MAY 27, 2024

The path to securing the boardroom’s buy-in is more complex than simply having the right statistics and studies on paper,” says Dara Warn, the CEO of INE Security , a global cybersecurity training and certification provider. “To Leverage Data and Statistics Presenting data from reputable sources can lend credibility to the argument.

Cost-Benefit 116

Cost-Benefit Statistics ROI Measurement 116

Smart Data Collective

JUNE 26, 2019

Get Rid of Blind Spots in Statistical Models With Machine Learning. Data-related blind spots could also exist in your statistical models. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable.

Statistics 111

Statistics ROI Machine Learning Measurement 111

Smart Data Collective

SEPTEMBER 25, 2019

Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits. A market forecast from Grand View Research assessed the encryption software market and gave a projection for the period from 2019-2025. This article has been updated on Sep 25th, 2019.

Technology 102

Technology Statistics Strategy Insurance 102

Smart Data Collective

APRIL 14, 2020

Data showed that Data Science and Analysis, comprising 21% of data scientists, is the degree that’s most likely to get you into data science in 2020, followed by the previous leader Computer Science (18.3%) and the traditional Statistics &Mathematics (16.3%). It’s true that data scientists come from various backgrounds. Coding Languages.

Data Science 114

Data Science Statistics IT Big Data 114

CIO Business Intelligence

AUGUST 23, 2024

In 2019, CSU partnered with INE Security to integrate the Junior Penetration Tester (eJPT) certification into its curriculum. The Bureau of Labor Statistics projects a 31% growth in employment for information security analysts from 2019 to 2029, significantly faster than the average for all occupations.

Testing 111

Testing Statistics Risk Data-driven 111

O'Reilly on Data

DECEMBER 12, 2019

16] Or, you can learn more about model debugging in the ML research community by checking out the 2019 International Conference on Learning Representations (ICLR) Debugging Machine Learning Models workshop proceedings. [17] Those interested in more details can dig deeper into the code on GitHub used to create the examples in this post. [16]

Machine Learning 276

Machine Learning Modeling Testing Risk Management 276

Smart Data Collective

MARCH 7, 2021

These data and statistics are all generated because of consumers and it is then utilized to form patterns and see trends. This is where analytics and statistics are useful. Physical music witnessed a 40% increase in sales over 2019. Data like who these people are and what makes them happy and what makes them buy something.

Analytics 129

Analytics Sales Statistics Big Data 129

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

Business Over Broadway

JANUARY 19, 2021

The top tool used by data professionals to analyze data are local development environments (48%), followed by basic statistical software (30%). Basic statistical software (Microsoft Excel, Google Sheets, etc.) (30%). Advanced statistical software (SPSS, SAS, etc.) (6%). Advanced statistical software: Statistician.

Business Intelligence 85

Business Intelligence Analytics Statistics Machine Learning 85

Smart Data Collective

SEPTEMBER 22, 2020

Statistics over time have proven that the firearms industry does exceptionally well under two conditions: right before a presidential election and during a national crisis. For instance, firearm sales are up 95% from 2019 and ammunition sales are up by 139%. Currently, the U.S. is facing both of these conditions at once.

Big Data 127

Big Data Marketing Sales Manufacturing 127

KDnuggets

NOVEMBER 6, 2019

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.

Statistics 59

Statistics Deep Learning Machine Learning 59