Dataconomy

APRIL 20, 2023

They have revolutionized the way we process and store information, and are used in a wide variety of applications, from personal devices like smartphones and laptops to large-scale data centers and cloud computing services.

Artificial Intelligence 154

Artificial Intelligence Artificial Intelligence Cloud Computing Internet of Things 154

ODSC - Open Data Science

OCTOBER 17, 2023

Regression models can be employed to detect anomalies when two data measures exhibit a high correlation (R2 value). For metrics that may not correlate with any other variables, we can attempt to characterize the behavior over time using forecasting algorithms. One state-of-the-art forecasting algorithm is Prophet, developed by Meta.

Data Science 98

Data Science Computer Science Computer Science Database 98

Data Science Dojo

JULY 3, 2024

Data Visualization : Techniques and tools to create visual representations of data to communicate insights effectively. Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

FEBRUARY 8, 2024

You’ll explore scikit-learn’s API for supervised machine learning, which primarily consists of three methods: fit to build models, predict to make predictions from models, and transform to modify data. This consistent and straightforward interface helps to abstract away the algorithm, thus allowing us to focus on our domain-specific problems.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Deep Learning Deep Learning 52

Pickl AI

SEPTEMBER 17, 2024

The importance of Big Data lies in its potential to provide insights that can drive business decisions, enhance customer experiences, and optimise operations. Organisations can harness Big Data Analytics to identify trends, predict outcomes, and make informed decisions that were previously unattainable with smaller datasets.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

IBM Journey to AI blog

JULY 6, 2023

Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis. Machine learning works on a known problem with tools and techniques, creating algorithms that let a machine learn from data through experience and with minimal human intervention.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Dataconomy

APRIL 20, 2023

They have revolutionized the way we process and store information, and are used in a wide variety of applications, from personal devices like smartphones and laptops to large-scale data centers and cloud computing services.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Cloud Computing Internet of Things 103

Heartbeat

OCTOBER 25, 2023

Next-generation sequencing (NGS) platforms have dramatically increased the speed and reduced the cost of DNA sequencing, leading to the generation of vast amounts of genomic data. Developing benchmark datasets and standardized evaluation metrics is necessary to assess algorithm performance and facilitate comparisons between other methods.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Algorithm 52

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. The field has evolved significantly from traditional statistical analysis to include sophisticated Machine Learning algorithms and Big Data technologies.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

IBM Journey to AI blog

JUNE 29, 2023

It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes. Industry 4.0 Companies can also use AI to identify anomalies and equipment defects.

Internet of Things 69

Internet of Things Artificial Intelligence Artificial Intelligence Big Data Analytics 69

How to Learn Machine Learning

JUNE 21, 2024

They work beyond manual processes to ensure a more intelligent, automated, and data-driven environment. Here are five advanced techniques that AI brings to software testing: Automated test case generation AI-driven automated test case generation uses advanced algorithms. It understands software applications and their requirements.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

APRIL 6, 2023

Having a solid understanding of ML principles and practical knowledge of statistics, algorithms, and mathematics. Common Interview Questions There are several Azure Data Engineer Interview questions that you may find if you appear for an interview in the field. Which service would you use to create Data Warehouse in Azure?

Azure 52

Azure Data Engineering Data Engineer Data Engineering 52

Precisely

MARCH 10, 2023

Organizations searched for ways to add more data, more variety of data, bigger sets of data, and faster computing speed. There was a massive expansion of efforts to design and deploy big data technologies. That effort led to a dramatic shift toward the cloud.

Data Warehouse 59

Data Warehouse Analytics Analytics Big Data 59

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?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

OCTOBER 11, 2024

Key components include the query processor, storage manager, transaction manager, and data dictionary, enabling efficient data operations. Database Engine The database engine is responsible for executing queries, managing data storage, and ensuring data integrity.

Database 52

Database SQL Big Data Analytics Big Data Analytics 52