Mlearning.ai

APRIL 10, 2023

Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0, Clustering locally can allow avoiding the transmission of sensitive data over the network Other benefits : Clustering can also be deployed as a machine learning model to perform anomaly detection and predictive analytics. Zhao, M.

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

AWS Machine Learning Blog

APRIL 18, 2023

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. No specialized knowledge is required to build this solution, but basic Linux, Python, and SQL knowledge will help.

AWS 95

AWS ML ML Database 95

Pickl AI

JULY 20, 2023

These may range from Data Analytics projects for beginners to experienced ones. Following is a guide that can help you understand the types of projects and the projects involved with Python and Business Analytics. Root cause analysis is a typical diagnostic analytics task.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

JANUARY 16, 2024

Key takeaways Develop proficiency in Data Visualization, Statistical Analysis, Programming Languages (Python, R), Machine Learning, and Database Management. Programming Languages Competency in languages like Python and R for data manipulation. Machine Learning Understanding the fundamentals to leverage predictive analytics.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

The MLOps Blog

FEBRUARY 5, 2023

Also, python Kafka libraries are easy to use and understand. Predictive analytics: Streaming data can be used to train machine learning models in real-time, which can be used for predictive analytics and forecasting. For setting up streaming/continuous flow of data, we will be using Kafka and Zookeeper.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

Pickl AI

SEPTEMBER 3, 2024

Explainable AI (XAI) aims to provide insights into how neural networks make decisions, helping stakeholders understand the reasoning behind predictions and classifications. Edge Computing With the rise of the Internet of Things (IoT), edge computing is becoming more prevalent.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Pickl AI

JULY 29, 2024

Machine Learning and Predictive Analytics Hadoop’s distributed processing capabilities make it ideal for training Machine Learning models and running predictive analytics algorithms on large datasets. This can limit the accessibility of Hadoop for data scientists and analysts who are not proficient in Java.

Hadoop 52

Hadoop Clustering Big Data Big Data 52