Data Science Dojo

FEBRUARY 20, 2023

It is used by businesses across industries for a wide range of applications, including fraud prevention, marketing automation, customer service, artificial intelligence (AI), chatbots, virtual assistants, and recommendations. Google Cloud Platform is designed for building large-scale, mission-critical applications.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

Smart Data Collective

OCTOBER 13, 2021

As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools. Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields).

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Data Visualization Big Data Big Data Predictive Analytics 145

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). Artificial intelligence (AI). Thank you for taking the time to read this blog post.

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AWS Cloud Computing Data Lakes Database 138

Dataconomy

FEBRUARY 6, 2024

Artificial intelligence and machine learning are no longer the elements of science fiction; they’re the realities of today. With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector.

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ML ML Machine Learning Machine Learning 121

Smart Data Collective

JUNE 4, 2021

it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Exploratory Data Analysis. Exploratory data analysis is analyzing and understanding data. For exploratory data analysis use graphs and statistical parameters mean, medium, variance.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

IBM Journey to AI blog

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Cloud and edge computing Cloud computing and edge computing play a significant role in how smart manufacturing plants operate.

Internet of Things 91

Internet of Things Cloud Computing Predictive Analytics Analytics 91

Smart Data Collective

DECEMBER 9, 2021

A number of new trends in big data are affecting the direction of the accounting sector. Big Data is Leading to Monumental Changes in Accounting. A lot of recent technology, such as cloud computing, automation, and SEO , are already in practice. Anyone working in this field should be familiar with them.

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Big Data Big Data Machine Learning Machine Learning 133

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. Scientific Computing: Use Python for scientific computing tasks, such as data analysis and visualization, Machine Learning, and numerical simulations.

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Python Machine Learning Machine Learning Data Science 97

IBM Journey to AI blog

DECEMBER 20, 2023

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. What is an AI strategy?

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AI AI Artificial Intelligence Artificial Intelligence 89

Data Science Connect

JULY 26, 2023

The Emergence of Edge Computing: A Game-Changer Edge computing has emerged as a game-changing technology, revolutionizing how data is processed and delivered. Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

Smart Data Collective

MAY 19, 2021

Artificial intelligence is becoming a major focus of our lives. Back-end System for Data Acquisition, Storage, and Analytics. It is affecting some of the most intimate elements of our lives, such as our homes. As we stated before, AI has played a role in driving the direction of the smart home market.

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AI AI Analytics Analytics 134

Data Science Dojo

JULY 3, 2024

Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Security and compliance : Ensuring data security and compliance with regulatory requirements in the cloud environment can be complex.

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Data Preparation Database Data Analysis Data Analysis 72

AWS Machine Learning Blog

FEBRUARY 21, 2025

Additionally, Amazon Q Business seamlessly integrates with multiple enterprise data stores , including FSx for Windows File Server, enabling you to index documents from file server systems and perform tasks such as summarization, Q&A, or data analysis of large numbers of files effortlessly.

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AWS Cloud Computing AI AI 73

IBM Journey to AI blog

NOVEMBER 13, 2023

Large-scale app deployment Heavily trafficked websites and cloud computing applications receive millions of user requests each day. A key advantage of using Kubernetes for large-scale cloud app deployment is autoscaling.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

Pickl AI

JULY 30, 2024

The University of Nottingham offers a Master of Science in Bioinformatics, which is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming , and Data Analytics. Familiarise yourself with data analysis tools such as RStudio, Jupyter Notebook, and Excel.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

O'Reilly Media

SEPTEMBER 19, 2023

Cloud computing? It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Next up is compute power.

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Hadoop Algorithm ML ML 134

Data Science Connect

JULY 28, 2023

Edge AI for Real-Time Decision-Making Edge AI brings AI processing capabilities to IoT devices at the network edge, reducing latency and empowering IoT devices to make real-time decisions without relying on cloud computing.

Internet of Things 130

Internet of Things Data Engineer Data Engineering Data Engineering 130

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

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Data Modeling Data Models Business Intelligence Business Intelligence 245

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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ML ML Machine Learning Machine Learning 110

Pickl AI

JANUARY 13, 2025

Essential skills for these roles encompass programming, machine learning knowledge, data management, and soft skills like communication and problem-solving. Introduction The field of Artificial Intelligence (AI) is rapidly evolving, and with it, the job market in India is witnessing a seismic shift. million by 2027.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JANUARY 22, 2025

Each language is examined for its features and applications, showcasing their importance in various fields like web development, Data Science, and mobile app creation. Languages like Python and Java dominate the landscape, powering applications in Data Science, web development, and enterprise solutions.

Data Science 52

Data Science Python SQL Cloud Computing 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Knowing how spaCy works means little if you don’t know how to apply core NLP skills like transformers, classification, linguistics, question answering, sentiment analysis, topic modeling, machine translation, speech recognition, named entity recognition, and others.

Deep Learning 111

Deep Learning Data Science Deep Learning Natural Language Processing 111

Becoming Human

MAY 15, 2023

These communities will help you to be updated in the field, because there are some experienced data scientists posting the stuff, or you can talk with them so they will also guide you in your journey. Data Analysis After learning math now, you are able to talk with your data.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

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.

Machine Learning 52

Machine Learning Machine Learning AI Natural Language Processing 52

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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Machine Learning Machine Learning Data Science Algorithm 162

How to Learn Machine Learning

JUNE 21, 2024

To prevent these challenges, businesses are using artificial intelligence (AI)-driven software testing. It also explores artificial intelligence in software testing and its impact on the software development lifecycle (SDLC). Predictive analytics This uses data analysis to foresee potential defects and system failures.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 3, 2024

Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data. Solution: Leveraging cloud computing and GPU acceleration can help expedite the training process.

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Pickl AI

SEPTEMBER 11, 2024

Employers often look for candidates with a deep understanding of Data Science principles and hands-on experience with advanced tools and techniques. With a master’s degree, you are committed to mastering Data Analysis, Machine Learning, and Big Data complexities.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

NOVEMBER 13, 2024

Each type employs distinct methodologies for Data Analysis and decision-making. Machine Learning is a subset of Artificial Intelligence (AI) that focuses on developing algorithms that allow computers to learn from and make predictions based on data. Often used for exploratory Data Analysis.

Machine Learning 52

Machine Learning Machine Learning Supervised Learning Natural Language Processing 52

Pickl AI

OCTOBER 3, 2024

Introduction to AI Research Assistants Artificial Intelligence (AI) has revolutionised various sectors, and the field of research is no exception. AI Research Assistant are sophisticated tools designed to aid researchers in their quest for knowledge, providing support in data collection , analysis, and interpretation.

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AI AI Natural Language Processing Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

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Machine Learning Machine Learning Data Science Big Data 70

AWS Machine Learning Blog

OCTOBER 21, 2024

He has rich experience in cloud computing, data analysis, and machine learning and is currently dedicated to research and practice in the fields of data science, machine learning, and serverless. She has experience on deploying the AI accelerator on customer’s production environment.

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Pickl AI

DECEMBER 6, 2024

Edge Computing Edge computing brings data processing closer to the source of data generation, reducing latency and bandwidth issues associated with cloud computing. By processing data locally, businesses can enhance operational efficiency and responsiveness.

Algorithm 52

Algorithm Artificial Intelligence Artificial Intelligence Internet of Things 52

Pickl AI

SEPTEMBER 5, 2024

By leveraging Azure’s capabilities, you can gain the skills and experience needed to excel in this dynamic field and contribute to cutting-edge data solutions. Microsoft Azure, often referred to as Azure, is a robust cloud computing platform developed by Microsoft. What is Azure?

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IBM Journey to AI blog

JUNE 29, 2023

Integrate data and systems Establish a robust system that integrates data from various sources and systems, such as enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, and supply chain management systems.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

Heartbeat

OCTOBER 25, 2023

The field demands a unique combination of computational skills and biological knowledge, making it a perfect match for individuals with a data science and machine learning background. Traditional computational infrastructure may not be sufficient to handle the vast amounts of data generated by high-throughput technologies.

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Machine Learning Machine Learning Data Scientist Algorithm 52