O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. General concerns.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

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. Finally, in Chapter 8, the connection between graph algorithms and machine learning that was implicit throughout the book now becomes explicit.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

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

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. Machine learning. Where to Use Data Science?

Data mining 144

Data mining Data Science Informatics Statistics 144

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

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. In addition, you can deploy and operationalize your own machine learning models to all users by uploading custom Python. Talk to your data.

Analytics 90

Analytics Data Warehouse Digital Transformation Forecasting 90

Smart Data Collective

JANUARY 8, 2021

billion in 2019 and is growing at a pace of 42% a year between 2020 and 2027. Data governance is going to be one of the most crucial things in the future as we work towards more adoption of artificial intelligence and machine learning. A huge component of artificial intelligence is machine learning.

Data Governance 144

Data Governance Machine Learning Statistics Advertising 144

Business Over Broadway

MARCH 8, 2021

US Labor Force Statistics for Selected Occupations. I analyzed data from the 2020 Kaggle Machine Learning and Data Science survey in which they surveyed over 20,000 data professionals. Using data from 2018 and 2019, the US Census Bureau estimates that, for every dollar that men earn, women earn 81.6 Salary Differences.

Data Science 138

Data Science Machine Learning Statistics Reporting 138

datapine

DECEMBER 4, 2019

Without a doubt, it’s a big technological advancement, and one of the big statistics buzzwords, but the extent to which it is believed to be already applied is vastly exaggerated. These systems can already speak, write, read and learn; hence, this is one of the big data buzzwords that will continue to disrupt industries in 2020 as well.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

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

AWS Big Data

DECEMBER 17, 2024

Today, Amazon Redshift is used by customers across all industries for a variety of use cases, including data warehouse migration and modernization, near real-time analytics, self-service analytics, data lake analytics, machine learning (ML), and data monetization. Industry-leading price-performance: Amazon Redshift launches RA3.large

Data Lake 83

Data Lake Data Warehouse Data-driven Optimization 83

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

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

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. This shows that the vast majority of the employees are satisfied with the company and they are also a top choice for data science and machine learning positions based on annual pay packages.

Statistics 110

Statistics Data Science Machine Learning Software 110

Business Over Broadway

JANUARY 19, 2021

Nearly half of data professionals surveyed in Kaggle’s 2020 Data Science and Machine Learning Survey said they do not use BI tools. The top tool used by data professionals to analyze data are local development environments (48%), followed by basic statistical software (30%). Advanced statistical software: Statistician.

Business Intelligence 85

Business Intelligence Analytics Statistics Machine Learning 85

Smart Data Collective

MARCH 23, 2020

With the help of data mining and machine learning, it is now possible to find the connections between seemingly disparate pieces of information. 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

Big Data 130

Big Data Recreation/Entertainment Data mining Optimization 130

KDnuggets

NOVEMBER 4, 2019

Also: Why is Machine Learning Deployment Hard?; 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.

Machine Learning 51

Machine Learning Statistics Software Management 51

Smart Data Collective

MAY 22, 2019

Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. In 2019, Pinterest has 250 million active users. Using machine learning to develop more engaging pictures. This is one of the biggest ways big data is changing marketing.

Optimization 101

Optimization Marketing Big Data Machine Learning 101

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 66

Statistics Deep Learning Machine Learning 66

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 eJPT learning path’s hands-on nature, robust application, and immediate feedback were key in addressing the practical training gap.

Testing 111

Testing Statistics Risk Data-driven 111

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Smart Data Collective

AUGUST 8, 2019

Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Black Hat Hackers Exploit Machine Learning to Avoid Detection. This is largely because of their knowledge of machine learning. Big data is the lynchpin of new advances in cybersecurity.

Big Data 108

Big Data Machine Learning Data Processing Predictive Analytics 108

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. Someone with the knowledge of SQL and access to a Db2 instance, where the in-database ML feature is enabled, can easily learn to build and use a machine learning model in the database. NOT IN(SELECT FT.ID

Modeling 81

Modeling Statistics Machine Learning Testing 81

Business Over Broadway

JULY 14, 2020

Kaggle conducted a worldwide survey in October 2019 of 19,717 data professionals ( 2019 Kaggle Machine Learning and Data Science Survey ). Their survey included a variety of questions about data science, tool usage, machine learning, education and more. Notepad: DBA/Database Engineer. Jupyter: Statistician.

Machine Learning 74

Machine Learning Visualization Data Science Statistics 74

Smart Data Collective

SEPTEMBER 30, 2021

As the consequences of a global pandemic, cybersecurity statistics show a significant increase in data breaching and hacking incidents from sources that employees increasingly use to complete their tasks, such as mobile and IoT devices. However, COVID-19 has made this the rule rather than the exception. Syxsense secure.

Optimization 135

Optimization IoT Data-driven Cost-Benefit 135

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series. Nor can we learn prediction intervals across a large set of parallel time series, since we are trying to generate intervals for a single global time series.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

FineReport

MAY 6, 2020

Machine learning. Machine learning murni menekankan kepada kemampuan prediktif dan pengimplimentasian algoritma tetapi statistik menekankan kepada tingkat penginterpretasiannya. Analisis prediktif: analisis axis waktu, principal component analysis, nonparametric regression, statistical process control.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

CIO Business Intelligence

JULY 23, 2024

This included systems that, developed in Cobol, connected private information from a “dizzying number of agencies” — which is why the Government Accountability Office in 2019 flagged it as among the 10 systems most in need of modernization.

Risk 142

Risk IT Risk Management Cost-Benefit 142

Insight

MAY 14, 2020

Image source: [link] Motivation Beginning around December 2019, patients with severe respiratory infections began arriving at hospitals in Wuhan, kicking off a race to identify the cause of the illness. How can we quickly understand emerging infectious diseases? However, it would be about a month before the new pathogen was fully identified.

Deep Learning 98

Deep Learning Statistics Modeling Machine Learning 98

CIO Business Intelligence

MARCH 15, 2022

Synthetic data can also be a vital tool for enterprise AI efforts when available data doesn’t meet business needs or could create privacy issues if used to train machine learning models, test software, or the like. For example, in 2019, Norway’s Labour and Welfare Administration created a synthetic version of its entire population.

Strategy 145

Strategy Testing Sales Modeling 145

Smart Data Collective

OCTOBER 14, 2019

Besides enabling you to train data sets for machine learning purposes, it has a visualization component that could bring your data to life and make it more interpretable by people who aren’t data professionals but need to make sense of the information. Apache Drill.

Data Science 93

Data Science Machine Learning Big Data Interactive 93

DataRobot

AUGUST 5, 2021

In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. After making their first estimate, all participants were shown rental price predictions from a machine learning model. Is there too much hype about AI or too much doomsaying?

Uncertainty 98

Uncertainty Sales Risk Statistics 98

Corinium

APRIL 25, 2019

For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case.

Insurance 150

Insurance Risk IoT Data-driven 150

Smart Data Collective

FEBRUARY 25, 2021

billion in 2019. And with Machine Learning algorithms, AI tools can give your target customers a personalized experience. Statistics show that there is a probability that 91 percent of consumers are likely to purchase products of companies that send personalized content, conforming to their interests.

Data-driven 124

Data-driven Marketing Strategy Big Data 124