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 143

Data mining Data Science Informatics Statistics 143

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 332

Management Machine Learning Experimentation Metrics 332

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

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 48

Statistics Deep Learning Machine Learning 48

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 122

Data Governance Machine Learning Statistics Advertising 122

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 112

Statistics Machine Learning Business Intelligence 112

Business Over Broadway

MAY 22, 2019

Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. How employees can drive transformation and emerging technology adoption: Both are data-heavy endeavors; We know that statistics/math knowledge is related to data science project success.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

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 ROI Prescriptive Analytics 250

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

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 78

Optimization Marketing Big Data Machine Learning 78

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 103

Big Data Recreation/Entertainment Data mining Optimization 103

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

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 Software 98

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

IBM Big Data Hub

AUGUST 9, 2023

Why phishing simulations are important Recent statistics show phishing threats continue to rise. Since 2019, the number of phishing attacks has grown by 150% percent per year— with the Anti-Phishing Working Group (APWG) reporting an all-time high for phishing in 2022 , logging more than 4.7 million phishing sites.

Testing 77

Testing Measurement Behavioral Analytics Reporting 77

KDnuggets

AUGUST 21, 2019

Understanding Cancer using Machine Learning; Statistical Modelling vs Machine Learning; Is Kaggle Learn a "Faster Data Science Education?"; This week's news: Become More Marketable as a Data Scientist; Command Line Basics Every Data Scientist Should Know; Chatbots with Keras!; and much more!

Data Science 47

Data Science Marketing Statistics Machine Learning 47

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 85

Big Data Data Processing Machine Learning Predictive Analytics 85

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 Modeling Sales 145

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. Tracking key metrics and statistical distributions over time and alerting humans when either of these significantly drift can ensure that systems remain performant and fair. We need to get to the root of the problem.

Uncertainty 97

Uncertainty Measurement Metrics Risk 97

CIO Business Intelligence

JULY 26, 2022

moved all the data from its headquarters and its three data centers in Charlotte, Louisville, and Atlanta to Amazon Web Services and a handful of SaaS providers in 2019. Today, the organization employs partners to track elite player statistics for the press and TV but “that will be different in a year or two,” Scott says.

Cost-Benefit 86

Cost-Benefit Recreation/Entertainment Digital Transformation Statistics 86

Insight

APRIL 10, 2020

Insight is a community of over 3,000 data scientists, data engineers, machine learning engineers, consensus, DevOps, and security engineers who have completed an Insight Fellows Program and are now members of our professional network. In 2019, over 1,000 Insight Fellows completed one of our 7 programs across 6 locations & remote.

Uncertainty 74

Uncertainty Statistics Machine Learning Publishing 74

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. These “automated machine learning” solutions help spread data science work by getting non-expert data scientists in to the model building process, offering drag-and-drop interfaces. Reflections.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Smart Data Collective

JUNE 3, 2019

They show statistics that 2.5 The financial industry is undergoing a number of changes in 2019. Machine learning and AI are going to have a profound effect on the way that financial actuaries issue loans, so consumers need to adapt accordingly. quintillion bytes of data are created every day.

Big Data 73

Big Data Cost-Benefit Unstructured Data Risk 73

FineReport

DECEMBER 19, 2019

If you want to learn more about self-service BI tools, you can take a look at this review: 5 Most Popular Business Intelligence (BI) Tools in 2019 , to understand your own needs and then choose the tool that is right for you. Of course, other BI tools such as Power BI and Qlikview also have their own advantages.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

O'Reilly on Data

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%.

Data-driven 335

Data-driven Software Statistics Marketing 335

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 101

Data-driven Marketing Strategy Big Data 101

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 108

Machine Learning Deep Learning Modeling Interactive 108

KDnuggets

NOVEMBER 5, 2019

The maths behind Bayes will be better understood if we first cover the theory and maths underlying another fundamental method of probabilistic machine learning: Maximum Likelihood. This post will be dedicated to explaining it.

Machine Learning 61

Machine Learning IT Statistics 61

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.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

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

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 222

Modeling Machine Learning Predictive Modeling Consulting 222

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 Software Business Intelligence Data Science 92

Domino Data Lab

AUGUST 8, 2019

Sci Foo 2019. Latest in machine learning research centers rapidly expanding in Africa? then building machine learning models to recommend methods and potential collaborators to scientists. For example, meeting Carole Goble was one of the top highlights of Sci Foo 2019 for me. Latest in quantum physics?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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

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

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. e-handbook of statistical methods: Summary tables of useful fractional factorial designs , 2018 [3] Ulrike Groemping. Hedayat, N.J.A.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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.

Visualization 74

Visualization Machine Learning Data Science Statistics 74