Microsoft Azure ML

(0 reviews)

Learn to explain Azure Machine Learning Studio's no-code capabilities, fundamental machine learning principles, key development tasks, and common ML categories.

Key AI Functions:Artificial Intelligence (AI),Microsoft Azure,Machine Learning

Description

Reviews

Alternative Tools

Description for Microsoft Azure ML

How to articulate the capabilities of Azure Machine Learning Studio's no-code machine learning?

How to identify the fundamental duties involved in the development of a machine learning solution

How to articulate the fundamental principles of machine learning

Methods for recognizing prevalent machine learning categories

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Microsoft

Duration: 11 hours (approximately)

Schedule: Flexible

Reviews for Microsoft Azure ML

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Automatic ML with H2O AutoML & Python

AI Applications and Prompt Engineering

Data Structures and Algorithms Specialization

Understanding Data: Navigating Statistics, Science, and AI Specialization

Alternative Tools for Microsoft Azure ML

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Gen AI Assisting Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

Gen AI Assisting Data Analysts

Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.

#Artificial Intelligence (AI) #Data Analysis

AI Engineering

Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.

#Vector databases #RAG

Gen AI Guiding Product Managers

Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.

#Artificial Intelligence (AI) #ChatGPT

AI in Business

Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.

#Business AI #Generation AI

Gen AI Supporting Data Engineers

Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

#Convolutional Neural Network #Information Engineering

Gen AI Empowering Executives & Business Leaders

Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.

#Artificial Intelligence (AI) #AI Use Cases

IBM Gen AI: Cybersecurity Professionals

Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.

#Artificial Intelligence (AI) #Threat (Computer)

Gen AI Fundamentals

Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.

#Artificial Intelligence (AI) #Prompt Engineering

Featured Tools

Automatic ML with H2O AutoML & Python

Learn to use AutoML with Python and H2O AutoML to solve business analytics problems.

#python-programming-language #H2O

AI Applications and Prompt Engineering

Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.

#javascript #emerging technologies

Data Structures and Algorithms Specialization

Become proficient in the use of algorithmic programming techniques. Enhance your Software Engineering or Data Science career by acquiring an understanding of algorithms through programming and puzzle solving.

#Software Testing #Data Structure

Understanding Data: Navigating Statistics, Science, and AI Specialization

Confidently navigate the realm of data. Acquire the necessary skills in AI, scientific reasoning, and data analysis to facilitate informed decision-making.

#Probability And Statistics #Artificial Intelligence

Supervised ML: Regression

Besides Python programming and data science fundamentals, the course covers supervised machine learning regression, which includes training models for continuous outcomes, error metrics, Elastic Net, LASSO, Ridge regularization, and data science fundamentals for aspiring data scientists.

#Linear Regression #Machine Learning (ML) Algorithms

Compare & Review AI Tool Directory AI Course Marketplace