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 144

Data mining Data-driven Statistics OLAP 144

Analytics Vidhya

JUNE 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In my previous article on fat tails in the NSE. The post Download 15 years of Nifty Index Options Data using NSEpy Package appeared first on Analytics Vidhya.

Data Science 205

Data Science Publishing Analytics Data mining 205

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 142

Unstructured Data Modeling Machine Learning Data mining 142

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. Over overlooked advantage of big data is that it can help improve outsourcing strategies. Global companies spent over $92.5

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

Sisense

APRIL 10, 2020

One of the most-asked questions from aspiring data scientists is: “What is the best language for data science? People looking into data science languages are usually confused about which language they should learn first: R or Python. NLP can be used on written text or speech data. R or Python?”.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Smart Data Collective

APRIL 2, 2021

Big data has become a very important for modern businesses. Franchises are among the businesses that have benefited from major breakthroughs in data science. A lot of franchises rely on data technology. Some big data startups even specialize in serving franchises, such as FranConnect.

Big Data 83

Big Data Data mining Machine Learning Advertising 83

datapine

AUGUST 29, 2022

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Essential Big Data And Data Analytics Insights. Discover The Best Data Analytics And Big Data Books Of All Time.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

MARCH 31, 2022

To help you with your studies, you can start here with a list of the best SQL books that will help you take your skills to the next level. Data Analysis : Most BI skills and intelligence analyst-related skills are about using data to make better decisions. A background in (or a firm grasp of) data warehousing and mining.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Decision Management Solutions

DECEMBER 12, 2018

As they quote in the paper: According to the Rexer Data Science Survey, barely 10 to 15% of companies “almost always” deploy results and another 50% only deploy “often.” Mix and match decisioning technology such as predictive analytics, machine learning, AI and business rules to create a business-led automation strategy.

Analytics 40

Analytics Predictive Analytics Modeling Data-driven 40

Edwin Chen

SEPTEMBER 6, 2011

A machine learning group of folks in orange centered around people like Oliver Grisel, Christian Langreiter, and Joseph Turian. The green cluster of users is reversed: 77% of users follow more of the red and purple clusters of topics (on startups and general intellectual matters) than machine learning and technical topics.

Machine Learning 52

Machine Learning Broadcasting Visualization Data mining 52

CIO Business Intelligence

DECEMBER 22, 2022

Where DataOps fits Enterprises today are increasingly injecting machine learning into a vast array of products and services and DataOps is an approach geared toward supporting the end-to-end needs of machine learning. The DataOps approach is not limited to machine learning,” they add.

Analytics 130

Analytics Machine Learning Software Data Quality 130

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

by OMKAR MURALIDHARAN Many machine learning applications have some kind of regression at their core, so understanding large-scale regression systems is important. But most common machine learning methods don’t give posteriors, and many don’t have explicit probability models. For more on ad CTR estimation, refer to [2].

KDD 40

KDD Testing Machine Learning Modeling 40

FineReport

MARCH 31, 2024

Acting as a comprehensive solution, the best BI tools collect and analyze company data to generate easily interpretable graphs, reports, and charts , leveraging advanced data mining, analytics, and visualization techniques. It can be deployed independently or seamlessly integrated.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. For example, migrating customer data from an on-premises database to a cloud-based CRM system. What is an ETL pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52