Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. Why is Data Integration a Challenge for Enterprises?

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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.

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Smart Data Collective

NOVEMBER 18, 2020

We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science? Data Science is an activity that focuses on data analysis and finding the best solutions based on it. It hosts a data analysis competition.

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Data Science Dojo

AUGUST 28, 2023

Some projects may necessitate a comprehensive LLMOps approach, spanning tasks from data preparation to pipeline production. Exploratory Data Analysis (EDA) Data collection: The first step in LLMOps is to collect the data that will be used to train the LLM. Why is LLMOps Essential?

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ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

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Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

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Pickl AI

JANUARY 30, 2023

Versatile programming language- You can use Python for web development, Data Science, Machine Learning, Artificial Intelligence, finance and in many other domains. Data Modeling : Using libraries like scikit-learn and Tensorflow, one can build and evaluate predictive models.

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Dataconomy

MAY 2, 2023

They are the driving force behind the artificial intelligence revolution, creating new opportunities and possibilities that were once the stuff of science fiction. Machine learning engineers are the visionaries of our time, creating the intelligent systems that will shape the future for generations to come.

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Analytics Vidhya

DECEMBER 12, 2022

Introduction Do you know that, for the past 5 years, ‘Data Scientist’ has consistently ranked among the top 3 job professions in the US market? Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started […].

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Pickl AI

JUNE 5, 2025

Introduction In 2025, the role of a data scientist remains one of the most sought-after and lucrative career paths in India’s rapidly growing technology and business sectors. Data quality issues are common in Indian datasets, so cleaning and preprocessing are critical. Validation techniques ensure models perform well on unseen data.

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ODSC - Open Data Science

APRIL 6, 2023

Within SQL you can also filter data, aggregate it and create valuations, manipulate data, update it, and even do data modeling. You can perform data analysis within SQL Though mentioned in the first example, let’s expand on this a bit more. Let’s briefly dive into each bit.

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Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Let’s dive into the key elements that make up the fascinating world of Data Intelligence.

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Smart Data Collective

NOVEMBER 24, 2020

Augmented analytics uses artificial intelligence to process data and prepare insights based on them. It allows feeding on more data, simplifying reporting and sharing and eliminating the unnecessary steps to get the feedback. Automation & Augmented Analytics. SAP Lumira.

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Tableau

APRIL 18, 2022

A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.

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Tableau

APRIL 18, 2022

A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Pickl AI

OCTOBER 3, 2024

Summary: Artificial Intelligence Models as a Service (AIMaaS) provides cloud-based access to scalable, customizable AI models. Introduction to AIMaaS Artificial Intelligence Models as a Service (AIMaaS) represents a transformative approach in the deployment of AI technologies.

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Pickl AI

NOVEMBER 18, 2024

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget.

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Pickl AI

JULY 23, 2023

The Role of Data in the Digital Age Data plays a pivotal role in shaping the technological landscape in today’s interconnected world. Data forms the backbone of numerous cutting-edge technologies, from business analytics to artificial intelligence.

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Pickl AI

JANUARY 9, 2025

Summary: Operations Analyst job in 2025 are integral to improving efficiency, data analysis, and process optimisation. With career growth opportunities and a focus on data-driven decisions, this job remains central to organisational success. Their roles now include using advanced technologies like AI and automation.

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. Sitao Min is pursuing his Ph.D. at Rutgers University.

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Pickl AI

JULY 25, 2023

With expertise in Python, machine learning algorithms, and cloud platforms, machine learning engineers optimize models for efficiency, scalability, and maintenance. Together, data engineers, data scientists, and machine learning engineers form a cohesive team that drives innovation and success in data analytics and artificial intelligence.

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phData

MARCH 4, 2024

The Snowflake Data Cloud has become a game-changer for businesses leveraging data analytics, but did you know it also packs a serious punch when it comes to Artificial Intelligence (AI)? This provides a unique opportunity for anyone creating an AI model using data in Snowflake.

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Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. GPT-4 Data Pipelines: Transform JSON to SQL Schema Instantly Blockstream’s public Bitcoin API.

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Pickl AI

AUGUST 29, 2023

Data Scientists are highly in demand across different industries for making use of the large volumes of data for analysisng and interpretation and enabling effective decision making. One of the most effective programming languages used by Data Scientists is R, that helps them to conduct data analysis and make future predictions.

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AWS Machine Learning Blog

AUGUST 30, 2024

With the rapid growth of generative artificial intelligence (AI), many AWS customers are looking to take advantage of publicly available foundation models (FMs) and technologies. This includes Meta Llama 3, Meta’s publicly available large language model (LLM). The producer of this airplane is Airbus.

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ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. in an enterprise data warehouse. What is a Datamart? A replacement for datasets.

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Pickl AI

JUNE 11, 2024

Self-Service Analytics User-friendly interfaces and self-service analytics tools empower business users to explore data independently without relying on IT departments. Best Practices for Maximizing Data Warehouse Functionality A data warehouse, brimming with historical data, holds immense potential for unlocking valuable insights.

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Pickl AI

OCTOBER 8, 2024

Summary : Design Thinking in Data Science bridges the gap between Data Analysis and human needs. In Data Science, design thinking plays a crucial role by ensuring that data-driven models and insights address real-world challenges. Defining Clear Problems Design thinking helps frame the right problem.

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Pickl AI

JUNE 23, 2023

In the world of artificial intelligence (AI), data plays a crucial role. It is the lifeblood that fuels AI algorithms and enables machines to learn and make intelligent decisions. And to effectively harness the power of data, organizations are adopting data-centric architectures in AI.

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IBM Journey to AI blog

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. What is machine learning?

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Pickl AI

APRIL 3, 2023

Supervised learning requires training for each data model and does not resemble Artificial Intelligence. Significantly, Supervised Learning uses offline analysis. Evidently, Unsupervised learning, in contrast, uses real-time data analysis. Comparatively, no input is taken by unsupervised learning.

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ODSC - Open Data Science

JANUARY 25, 2023

Azure Machine Learning CLI v2 and Azure Machine Learning Python SDK v2 introduce standardization of features and terminology across the interfaces to improve the experience of data scientists on Azure. Counterfactual what-if , to examine feature perturbations and see how they would affect your model predictions.

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Pickl AI

DECEMBER 10, 2024

Introduction Artificial Intelligence ( AI ) rapidly transforms critical sectors such as healthcare, finance, and transportation, driving efficiency and innovation. The Need for Trustworthy AI As Artificial Intelligence becomes integral to decision-making, its reliability, fairness, and security take centre stage.

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Flipboard

FEBRUARY 12, 2025

Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from emerging technologies to impacting how businesses run. From building AI agents to interacting with technology in ways that feel more like a natural conversation, AI technologies are poised to transform how we work. But what exactly lies ahead?

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Heartbeat

MARCH 8, 2023

R is a popular open-source programming language used for statistical computation and data analysis, as well as for text classification tasks such as basic spam detection, sentiment analysis, and topic labeling. It also provides a wide range of packages and features designed specifically for NLP and text classification.

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phData

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. Through big data models, hospitals can identify trends that guide smart decision-making.

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