ODSC - Open Data Science

FEBRUARY 2, 2023

Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Cloud Services The only two to make multiple lists were Amazon Web Services (AWS) and Microsoft Azure. Saturn Cloud is picking up a lot of momentum lately too thanks to its scalability.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

DagsHub

JULY 25, 2024

Notable Use Cases in the Industry Keras is widely used in industry and academia for various applications, including image and text classification, object detection, and time-series prediction. Companies like Netflix and Uber use Keras for recommendation systems and predictive analytics. Further Reading and Documentation H2O.ai

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

ODSC - Open Data Science

JUNE 29, 2023

Debugging Object Detection Models, 8 Trending LLMs, New AI Tools, and Generative AI as a Must-Have Skill Debug Object Detection Models with the Responsible AI Dashboard This blog will focus on the Azure Machine Learning Responsible AI Dashboard’s new vision insights capabilities, supporting debugging capabilities for object detection models.

AI 52

AI AI Predictive Analytics Azure 52

Pickl AI

APRIL 21, 2025

Industries like finance, healthcare, retail, and technology leverage Big Data for real-time processing and storage, while Data Science delivers insights for predictive analytics, personalized services, and strategic planning. What Industries Benefit Most from Big Data and Data Science?

Big Data 52

Big Data Big Data Data Science Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. Overall, it is easier to deploy.

Database 101

Database SQL Data Warehouse Machine Learning 101

Pickl AI

OCTOBER 3, 2024

The process typically involves several key steps: Model Selection: Users choose from a library of pre-trained models tailored for specific applications such as Natural Language Processing (NLP), image recognition, or predictive analytics. Computer Vision : Models for image recognition, object detection, and video analytics.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. ” Predictive Analytics (Machine Learning): This uses historical data to predict future outcomes. ” or “What are our customer demographics?”

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

DECEMBER 4, 2024

According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes. For example: In finance, predictive analytics helps institutions assess risks and identify investment opportunities. In healthcare, patient outcome predictions enable proactive treatment plans.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

IBM Journey to AI blog

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In today’s world, data warehouses are a critical component of any organization’s technology ecosystem.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

IBM Journey to AI blog

OCTOBER 20, 2023

Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries.

AI 90

AI AI Machine Learning Machine Learning 90

Pickl AI

JULY 12, 2024

Algorithms in ML identify patterns and make decisions, which is crucial for applications like predictive analytics and recommendation systems. Supervised Learning Algorithms In supervised learning , algorithms learn from labelled data to predict outcomes for unseen data points.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

ODSC - Open Data Science

JANUARY 7, 2025

From development environments like Jupyter Notebooks to robust cloud-hosted solutions such as AWS SageMaker, proficiency in these systems is critical. Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

NOVEMBER 18, 2024

Underfitting happens when a model is too simplistic and fails to capture the underlying patterns in the data, leading to poor predictions. Predictive analytics uses historical data to forecast future trends, such as stock market movements or customer churn. How Do I Choose the Right Machine Learning Model?

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

DECEMBER 10, 2024

Market Competition Oracle faces competition from alternative solutions like AWS, Microsoft Azure, and SAP HANA. Additionally, Oracle is integrating AI and machine learning into its platforms, allowing predictive analytics, anomaly detection, and autonomous system optimisation.

Database 52

Database Analytics Analytics Business Intelligence 52

phData

JULY 25, 2023

You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera. Once there is enough customer data, the company begins using predictive analytics. Through this, you can sufficiently predict the outcome of your inputs. Any new business starts with the use of descriptive analysis.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

JULY 25, 2023

You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera. Once there is enough customer data, the company begins using predictive analytics. Through this, you can sufficiently predict the outcome of your inputs. Any new business starts with the use of descriptive analysis.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

The MLOps Blog

MARCH 21, 2023

Machine learning platform in healthcare There are mostly three areas of ML opportunities for healthcare, including computer vision, predictive analytics, and natural language processing. If your organization runs its workloads on AWS , it might be worth it to leverage AWS SageMaker.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Dataconomy

FEBRUARY 11, 2025

For example, investing in predictive analytics may seem promising, but without clear objectivessuch as improving customer retention or reducing operational costsits value diminishes. For example, cloud-based platforms like AWS or Microsoft Azure provide flexible solutions that cater to businesses of all sizes.

AI 113

AI AI Predictive Analytics Data Scientist 113