Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

Big Data Analytics 122

Big Data Analytics Big Data Analytics Big Data Big Data 122

Flipboard

FEBRUARY 3, 2023

Over the last few years, with the rapid growth of data, pipeline, AI/ML, and analytics, DataOps has become a noteworthy piece of day-to-day business New-age technologies are almost entirely running the world today. Among these technologies, big data has gained significant traction. This concept is …

Big Data Analytics 180

Big Data Analytics Big Data Analytics Big Data Big Data 180

Smart Data Collective

FEBRUARY 3, 2021

Big data algorithms that understand these principles can use them to forecast the direction of the stock market. Automatic trading, which hugely relies on artificial intelligence and bots, and trading that operates on machine learning are eliminating the human emotion factor from all this.

Big Data Analytics 140

Big Data Analytics Big Data Analytics Big Data Big Data 140

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big data analytics: solutions to the industry challenges.

Big Data Analytics 101

Big Data Analytics Big Data Analytics Big Data Big Data 101

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. For currently-used machine learning frameworks, some of the usual contenders were popular as expected.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

Smart Data Collective

JUNE 3, 2021

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Many of the applications of big data for insurance companies will be realized with machine learning technology.

Machine Learning 121

Machine Learning Machine Learning Big Data Big Data 121

Flipboard

FEBRUARY 6, 2023

If data is the new gold, then today’s “gold” comes in the form of priceless insights into trends and customer behaviors for growth-seeking organizations. But possessing an abundance of data — though fortunate — remains problematic, at least for now. Most organizations have a tremendous amount of …

Big Data Analytics 156

Big Data Analytics Big Data Analytics Big Data Big Data 156

Data Science Dojo

FEBRUARY 18, 2023

In the 1990s, machine learning and neural networks emerged as popular techniques, leading to breakthroughs in areas such as speech recognition, natural language processing, and image recognition. In the 1970s and 1980s, AI research shifted to knowledge-based systems and expert systems.

Natural Language Processing 243

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 243

Dataconomy

MARCH 11, 2025

Understanding this process is crucial for anyone delving into text analysis, machine learning, or artificial intelligence. Machine learning-based lemmatization: This approach employs models trained on large text datasets to identify patterns between words and their lemmas, accommodating varying word forms.

Natural Language Processing 91

Natural Language Processing Artificial Intelligence Artificial Intelligence Big Data Analytics 91

Flipboard

NOVEMBER 16, 2023

WASHINGTON — Classes on and insights into the fields of artificial intelligence, big-data analytics and wireless communications technologies are now …

Artificial Intelligence 170

Artificial Intelligence Artificial Intelligence Big Data Big Data 170

Pickl AI

SEPTEMBER 13, 2024

Summary: This blog examines the role of AI and Big Data Analytics in managing pandemics. It covers early detection, data-driven decision-making, healthcare responses, public health communication, and case studies from COVID-19, Ebola, and Zika outbreaks, highlighting emerging technologies and ethical considerations.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Flipboard

DECEMBER 3, 2023

Palantir Technologies (NASDAQ: PLTR) is an American software company that specializes in big data analytics and artificial intelligent (AI).

Big Data Analytics 153

Big Data Analytics Big Data Analytics Big Data Big Data 153

AWS Machine Learning Blog

AUGUST 21, 2024

Amazon DataZone makes it straightforward for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so they can discover, use, and collaborate to derive data-driven insights. He supports enterprise customers migrate and modernize their workloads on AWS cloud.

Machine Learning 121

Machine Learning Machine Learning Data Governance ML 121

Pickl AI

OCTOBER 29, 2024

Summary: This article delves into five real-world data science case studies that highlight how organisations leverage Data Analytics and Machine Learning to address complex challenges. This blog explores five compelling case studies that illustrate the practical applications of Data Science in real-world scenarios.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Dataversity

FEBRUARY 10, 2022

The post Using Big Data Analytics to Combat White-Collar Crime appeared first on DATAVERSITY. Whereas white-collar crime used to conjure images of high-flying executives stealing from company coffers, the modern landscape is much more complex, […].

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

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? What is machine learning?

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Flipboard

JUNE 18, 2023

Snowflake (NYSE:SNOW) originally built their cloud-based warehouse on AWS in 2014, then started to build their platform and applications to operate …

Machine Learning 123

Machine Learning Machine Learning Analytics Analytics 123

Smart Data Collective

APRIL 8, 2020

In the modern era, big data and data science are significantly disrupting the way enterprises conduct business as well as their decision-making processes. With such large amounts of data available across industries, the need for efficient big data analytics becomes paramount.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Dataconomy

SEPTEMBER 4, 2023

Text analytics is crucial for sentiment analysis, content categorization, and identifying emerging trends. Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. The scope of computer science extends to various subdomains and applications, such as machine learning, software engineering, and systems engineering. Bachelor’s, master’s, and Ph.D.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. The scope of computer science extends to various subdomains and applications, such as machine learning, software engineering, and systems engineering. Bachelor’s, master’s, and Ph.D.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Flipboard

MARCH 24, 2023

Big-data analytics firm Databricks Inc. has emerged as an unlikely player in the generative artificial intelligence space, open-sourcing a new AI …

Big Data Analytics 123

Big Data Analytics Big Data Analytics Big Data Big Data 123

AWS Machine Learning Blog

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed.

Machine Learning 98

Machine Learning Machine Learning AWS ML 98

Data Science Dojo

JANUARY 12, 2023

You can perform analytics with Data Lakes without moving your data to a different analytics system. 4. Additionally, unprocessed, raw data is pliable and suitable for machine learning. Healthcare: Unstructured data is stored in data lakes. References: Data lake vs data warehouse

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Flipboard

AUGUST 29, 2023

Companies increasingly see the value in mining their data for deeper insights. of major worldwide organizations are focusing investments into big data and AI. But challenges stand in the way of executing big data analytics. According to a NewVantage survey, 97.6% One recent poll found that 65% …

Big Data Analytics 123

Big Data Analytics Big Data Analytics Big Data Big Data 123

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Retailers use cloud-based analytics to personalise customer recommendations in real-time.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Smart Data Collective

AUGUST 26, 2021

These data-driven predictions also tend to be surprisingly accurate. Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. That’s where data analytics steps into the picture.

Analytics 133

Analytics Analytics Big Data Analytics Big Data Analytics 133

How to Learn Machine Learning

APRIL 23, 2023

Companies use Machine Learning to make their processes smooth, fast, and convenient. However, there are barriers to machine learning, and the journey to adopting these kind of projects can be challenging. The extraction of data is another thing to consider. These phases are essential for having good data.

Machine Learning 52

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 52

Dataconomy

JULY 4, 2023

Examples of such tools include intelligent business process management, decision management, and business rules management AI and machine learning tools that enhance the capabilities of automation. Additionally, organizations can extend the power of automation by incorporating AI and machine learning in different ways.

Natural Language Processing 192

Natural Language Processing Big Data Big Data Machine Learning 192

Smart Data Collective

JULY 16, 2021

Data is only going to get bigger which provides hackers with more opportunities to carry out attacks. This means that organizations must ensure that they’ve got security analytics in place to better understand the potential risks. Big data analytics also allow organizations to check for threats that are coming from the inside.

Analytics 134

Analytics Analytics Big Data Big Data 134

AWS Machine Learning Blog

FEBRUARY 21, 2025

He specializes in large language models, cloud infrastructure, and scalable data systems, focusing on building intelligent solutions that enhance automation and data accessibility across Amazons operations. He specializes in building scalable machine learning infrastructure, distributed systems, and containerization technologies.

AWS 124

AWS Natural Language Processing Machine Learning Machine Learning 124

Data Science Dojo

JULY 6, 2023

It integrates seamlessly with other AWS services and supports various data integration and transformation workflows. Google BigQuery: Google BigQuery is a serverless, cloud-based data warehouse designed for big data analytics. It provides a scalable and fault-tolerant ecosystem for big data processing.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Pickl AI

MAY 15, 2023

By leveraging data analysing techniques, manufacturing companies optimises processes, improves efficiency and reduces costs. Why is Data Preprocessing Important In Machine Learning? With the help of data pre-processing in Machine Learning, businesses are able to improve operational efficiency.

Machine Learning 52

Machine Learning Machine Learning Data Analysis Data Analysis 52

AWS Machine Learning Blog

MARCH 3, 2023

Machine learning (ML) can help companies make better business decisions through advanced analytics. Training machine learning models SageMaker Canvas offers two methods to train ML models without writing code: Quick build and Standard build. He is very passionate about data-driven AI.

ML 101

ML ML Machine Learning Machine Learning 101

Smart Data Collective

DECEMBER 2, 2019

Travel booking is only one of the areas being heavily automated by machine learning algorithms. One can also build an application that leverages machine learning to uncover price drops and exclusive deals for a personalized search and booking experience on mobile devices of the customers. Conclusion.

Big Data 145

Big Data Big Data Big Data Analytics Big Data Analytics 145

Smart Data Collective

SEPTEMBER 19, 2022

However, fintech businesses can use big data and machine learning to build fraud detection systems that uncover anomalies in real time. To ensure their customers have a satisfactory experience, financial businesses will use big data analytics to tweak their services across various platforms to suit a customer’s needs.

Big Data 145

Big Data Big Data Big Data Analytics Big Data Analytics 145