David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. Rapidminer Studio is its visual workflow designer for the creation of predictive models.

Data Science 319

Data Science Data Lake Data mining Deep Learning 319

Analytics Vidhya

FEBRUARY 5, 2024

This surge in internet penetration underscores the pervasive influence […] The post 20 Technologies in Data Science for Professionals appeared first on Analytics Vidhya. As of January 2024, 5.35 billion individuals were connected to the Internet, constituting 66.2 percent of the world’s population.

Data Science 280

Data Science Technology Analytics Data mining 280

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

CIO Business Intelligence

JANUARY 19, 2024

According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024. Check out our list of top big data and data analytics certifications.) The exam consists of 60 questions and the candidate has 90 minutes to complete it.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Analytics Vidhya

APRIL 13, 2023

As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.

Data Science 319

Data Science Analytics Data mining IT 319

Analytics Vidhya

DECEMBER 7, 2023

The exam primarily tests the comprehensive understanding of undergraduate subjects in engineering and sciences. If you’re gearing up for the GATE 2024 in Data Science and AI, introduced by IISc Bangalore, you’re in the right place.

Data Science 292

Data Science Testing Analytics Data mining 292

Rocket-Powered Data Science

DECEMBER 16, 2018

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters. The above example (clustering) is taken from unsupervised machine learning (where there are no labels on the training data).

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

datapine

MAY 14, 2019

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

Data mining 77

Data mining KDD Data Science Forecasting 77

Analytics Vidhya

DECEMBER 13, 2021

Pursuing any data science project will help you polish your resume. The post Top Data Science Projects to add to your Portfolio in 2021 appeared first on Analytics Vidhya. Introduction 2021 is a year that proved nothing is better than a Proof of Work to evaluate any candidate’s worth, initiative, and skill.

Data Science 343

Data Science Analytics Data mining Deep Learning 343

KDnuggets

JUNE 15, 2022

14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model; How is Data Mining Different from Machine Learning?; Understanding Functions for Data Science; Top 18 Data Science Facebook Groups.

Machine Learning 83

Machine Learning Data mining Modeling Data Science 83

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 138

Data Science Statistics Machine Learning Visualization 138

KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 152

Machine Learning Marketing Data Science Data mining 152

Rocket-Powered Data Science

MAY 20, 2020

In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter. And then there’s this — not a blog, but a link to my 2013 TedX talk: “ Big Data, Small World.” Rocket-Powered Data Science (the website that you are now reading).

Data Science 239

Data Science Big Data Internet of Things Data mining 239

Analytics Vidhya

MAY 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text.

Unstructured Data 285

Unstructured Data Data mining Data Science Publishing 285

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

FineReport

JULY 28, 2021

Good data can give you keen insights, convincing evidence to make informed decisions. By observing and analyzing data, we can develop more accurate theories and formulate more effective solutions. For this reason, data science and/vs. Definition: BI vs Data Science vs Data Analytics.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Analytics Vidhya

MAY 31, 2020

Overview Feature engineering is a key aspect in acing data science hackathons Learn how to perform feature engineering here as we walk through a. The post Want to Ace Data Science Hackathons? This Feature Engineering Guide is for you appeared first on Analytics Vidhya.

Data Science 302

Data Science Analytics Data mining Machine Learning 302

KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 83

Machine Learning Marketing Data Science Data mining 83

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

Jen Stirrup

SEPTEMBER 30, 2021

Although CRISP-DM is not perfect , the CRISP-DM framework offers a pathway for machine learning using AzureML for Microsoft Data Platform professionals. AI vs ML vs Data Science vs Business Intelligence. They may also learn from evidence, but the data and the modelling fundamentally comes from humans in some way.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. ACM SIGKDD.

KDD 81

KDD Knowledge Discovery Data mining Statistics 81

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics methods and techniques.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Analytics Vidhya

OCTOBER 8, 2021

This article was published as a part of the Data Science Blogathon Gathering and getting ready datasets is one of the critical techniques in any Machine learning project. But when we want to extract any internet site data when […].

Machine Learning 284

Machine Learning Data Science Publishing Analytics 284

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

NOVEMBER 14, 2022

With organizations increasingly focused on data-driven decision making, decision science (or decision intelligence) is on the rise, and decision scientists may be the key to unlocking the potential of decision science systems. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers.

Data mining 129

Data mining Data-driven Statistics OLAP 129

Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

KDnuggets

DECEMBER 12, 2019

ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, Knowledge Discovery and Machine Learning for 26 th Annual Conference in San Diego.

KDD 47

KDD Knowledge Discovery Data mining Data Science 47

Rocket-Powered Data Science

APRIL 25, 2019

A few years ago, I generated a list of places to receive data science training. Learn the what, why, and how of Data Science and Machine Learning here. That list has become a bit stale. Follow Kirk Borne on Twitter @KirkDBorne. Follow Kirk Borne on Twitter @KirkDBorne.

Data Science 38

Data Science Machine Learning Deep Learning Statistics 38

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. It uses complex data analytics features.

Data mining 134

Data mining Big Data Data-driven Data Science 134

Cloudera

OCTOBER 31, 2023

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. They released a blog this year with the results from their annual data mining, it includes the top 3 candies purchased for each state and the quantity purchased in pounds.

Data mining 77

Data mining Machine Learning Data Science Sales 77

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Licensed by MIT, SpaCy was made with high-level data science in mind and allows deep data mining.

Unstructured Data 139

Unstructured Data Modeling Machine Learning Data mining 139

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. On premises or in SAP cloud. Per user, per month.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Rocket-Powered Data Science

DECEMBER 15, 2018

This wisdom applies not only to life but to machine learning also. Specifically, the availability and application of labeled data (things past) for the labeling of previously unseen data (things future) is fundamental to supervised machine learning. This would be a problem. Good judgment comes experience.

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171