IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results. How does text mining work?

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Unite.AI

DECEMBER 5, 2023

This article will explore data warehousing, its architecture types, key components, benefits, and challenges. What is Data Warehousing? Data warehousing is a data management system to support Business Intelligence (BI) operations. It can handle vast amounts of data and facilitate complex queries.

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Metadata Big Data ETL Data Mining 162

Becoming Human

JANUARY 23, 2023

- a beginner question Let’s start with the basic thing if I talk about the formal definition of Data Science so it’s like “Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis” , is the definition enough explanation of data science?

Data Science 105

Data Science Big Data Data Mining Deep Learning 105

Marktechpost

JULY 3, 2023

Unlike other business intelligence technologies, predictive analytics is forward-looking, using past events (retrieved and ordered with data mining) to anticipate the future (=being predictive) or even reshape it (=being prescriptive ).

Deep Learning 125

Deep Learning Machine Learning Neural Network Artificial Intelligence 125

ODSC - Open Data Science

FEBRUARY 8, 2023

BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database. Then, an analyst prepares them for reporting (via data visualization tools like Google Data Studio). The BigQuery tool was designed to be the centerpiece of data analysis.

Big Data 97

Big Data Data Mining Business Intelligence Data Science 97

Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data. The business’s government contract expired in 1972 when it was formally established.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Pickl AI

FEBRUARY 28, 2023

However, Data Scientists use tools like Python, Java, and Machine Learning for manipulating and analysing data. Significantly, in contrast, Data Analysts utilise their proficiency in a relational databases, Business Intelligence programs and statistical software.

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Data Scientist Data Science Data Mining Machine Learning 52

Artificial Corner

JUNE 6, 2023

This period also saw the development of the first data warehouses, large storage repositories that held data from different sources in a consistent format. The concept of data warehousing was introduced by Bill Inmon, often referred to as the “father of data warehousing.”

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Pickl AI

JUNE 25, 2023

Before delving deeper into the functionalities of business analytics, it is important to understand what business analytics is. The latter is the practice of using statistical techniques, data mining, predictive modelling, and Machine Learning algorithms to analyze past and present data. Lakhs to ₹ 15.3

Machine Learning 52

Machine Learning Data Science Data Mining Business Intelligence 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Science 52

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Data Analysis Data Analysis involves cleaning, processing, and analysing data to uncover patterns, trends, and relationships.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Pickl AI

JULY 18, 2023

While it may not be a traditional programming language, SQL plays a crucial role in Data Science by enabling efficient querying and extraction of data from databases. SQL’s powerful functionalities help in extracting and transforming data from various sources, thus helping in accurate data analysis.

Data Science 52

Data Science Data Scientist Python Business Intelligence 52

Pickl AI

APRIL 18, 2023

With the growing use of connected devices, the volumes of data we will create will be even more. Hence, the relevance of Data Analysis increases. Here comes the role of qualified and skilled data professionals. Data Science Online Certificates on My Resume? This clearly highlights the penetration of the Internet.

Data Science 52

Data Science Data Scientist Machine Learning Artificial Intelligence 52

Pickl AI

OCTOBER 14, 2024

Additionally, a strong foundation in programming languages like Python or R and familiarity with Data Analysis concepts can enhance your application. Core Subjects Master’s programs in Data Science typically include a comprehensive set of core subjects that form the foundation of the field.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

Artificial Corner

JUNE 6, 2023

With a single shake of their staff they can command the power of data into magical intelligence never seen before, intelligence that will finally provide the answer to the unanswerable. Perhaps even the meaning of life itself?!

Big Data 52

Big Data Data Mining Data Scientist Business Intelligence 52

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

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