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.

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IBM Journey to AI blog

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.

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Pickl AI

FEBRUARY 21, 2023

Accordingly, data collection from numerous sources is essential before data analysis and interpretation. Data Mining is typically necessary for analysing large volumes of data by sorting the datasets appropriately. What is Data Mining and how is it related to Data Science ?

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Pickl AI

AUGUST 1, 2024

Meta Description: Discover the key functionalities of data mining, including data cleaning, integration. Summary: Data mining functionalities encompass a wide range of processes, from data cleaning and integration to advanced techniques like classification and clustering.

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Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used.

Data Modeling 245

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ODSC - Open Data Science

NOVEMBER 19, 2024

Predictive analytics is changing the way businesses operate, helping them make smarter decisions. By using data and technology, it can predict future trends, customer behavior, and much more. This article explains how retail and finance businesses use predictive analytics to improve their operations and grow.

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IBM Journey to AI blog

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? This post will dive deeper into the nuances of each field.

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Dataconomy

MAY 17, 2024

He brings a unique perspective on how advanced technologies such as data science and artificial intelligence (AI) can enhance decision-making processes, ensure transparency, and promote public trust. Asatrian Sergei Tigranovich is a seasoned expert with a strong state and municipal administration background.

Predictive Analytics 91

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Pickl AI

APRIL 15, 2024

Summary: Data Science courses with placement guarantee job security through practical training and mentorship. These courses equip learners with hands-on experience, preparing them for real-world challenges in data Science careers. Therefore, the significance of Data Science is undeniable.

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. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Data Science Blog

MAY 22, 2023

appeared first on Data Science Blog. Das ist Wissensmanagement auf einem neuen Level, dank Vektor-Datenbanken und KI. The post Was ist eine Vektor-Datenbank? Und warum spielt sie für AI eine so große Rolle?

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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. They can also use AI to create better videos for their users.

Data Scientist 145

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Pickl AI

SEPTEMBER 11, 2024

Summary: The best Data Science Masters programs in 2024, including those from Jindal Global University, BITS Pilani, IIT Kanpur, and VIT, offer advanced curricula and industry connections. These programs equip you with the skills and knowledge to excel in high-demand Data Science roles and significantly boost your career prospects.

Data Science 52

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Data Science Blog

FEBRUARY 4, 2023

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science. Or maybe you are interested in an individual data strategy ? Then get in touch with me!

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Smart Data Collective

NOVEMBER 12, 2021

Over overlooked advantage of big data is that it can help improve outsourcing strategies. We talked about the benefits of outsourcing IoT and other data science obligations. You should use big data to improve your outsourcing models by data mining pools of talented employees. Global companies spent over $92.5

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Data Science Blog

FEBRUARY 23, 2023

The post How to tackle lack of data: an overview on transfer learning appeared first on Data Science Blog. And I hope you would be able to apply a variety of transfer learning locally, not only relying on huge resources of gigantic entities. And that would lead to a more secure future, I guess.

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Dataconomy

MAY 10, 2023

Open-source business intelligence (OSBI) is commonly defined as useful business data that is not traded using traditional software licensing agreements. This is one alternative for businesses that want to aggregate more data from data-mining processes without buying fee-based products.

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Pickl AI

MAY 29, 2024

Summary: Data Science is becoming a popular career choice. Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation.

Data Scientist 52

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ODSC - Open Data Science

AUGUST 21, 2023

This year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners. Research Frontiers Stay abreast of the latest developments in data science and AI with this track. Check the ODSC West tracks out below.

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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.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Dataconomy

JUNE 13, 2023

At its core, decision intelligence involves collecting and integrating relevant data from various sources, such as databases, text documents, and APIs. This data is then analyzed using statistical methods, machine learning algorithms, and data mining techniques to uncover meaningful patterns and relationships.

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Pickl AI

AUGUST 27, 2024

Practical Applications Python’s versatility and extensive library ecosystem make it a powerful tool for various practical applications in Data Analysis. Here are some key areas where Python is particularly useful: Data Mining and Cleaning Data mining and cleaning are critical steps in any Data Analysis workflow.

Data Analysis 52

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Pickl AI

OCTOBER 15, 2024

Diagnostic Analytics Diagnostic analytics goes a step further by explaining why certain events occurred. It uses data mining , correlations, and statistical analyses to investigate the causes behind past outcomes. It analyses patterns to predict trends, customer behaviours, and potential outcomes.

Analytics 52

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Pickl AI

OCTOBER 14, 2024

Role in Extracting Insights from Raw Data Raw data is often complex and unorganised, making it difficult to derive useful information. Data Analysis plays a crucial role in filtering and structuring this data. Predictive Data Analysis Predictive Data Analysis uses historical data to forecast future trends and behaviours.

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Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

Machine Learning 52

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Dataversity

APRIL 6, 2021

With the huge amount of online data available today, it comes as no surprise that “big data” is still a buzzword. But big data is more […]. The post The Role of Big Data in Business Development appeared first on DATAVERSITY. Click to learn more about author Mehul Rajput.

Big Data 52

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Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Process Mining offers process transparency, compliance insights, and process optimization. Each applications has its own data model.

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Dataconomy

MARCH 10, 2025

Mechanics of personalization engines Understanding how personalization engines operate requires some insight into data science applications. By utilizing powerful algorithms and techniques, personalization engines analyze vast amounts of data to identify patterns and trends that assist in delivering customized experiences.

Predictive Analytics 91

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