ML: an overview

(0 reviews)

The topics of this AI course include the optimization of policies in reinforcement learning, the utilization of dimensionality reduction in unsupervised learning, and the classification and definition of constraints in supervised learning.

Key AI Functions:Machine Learning,Artificial Intelligence,supervised learning,unsupervised learning

Description

Reviews

Alternative Tools

Description for ML: an overview

Classify supervised learning problems and machine learning problems, and define the constraints of machine learning techniques in supervised learning.

Define the utility of dimensionality reduction techniques and classify machine learning problems in unsupervised learning.

Describe the process of optimizing a policy in reinforcement learning, define a value function, and formulate a sequential decision-making problem.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Politecnico di Milano

Duration: 2 hours (approximately)

Schedule: Flexible

Reviews for ML: an overview

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Creative Thinking: Techniques and Tools for Success

Google AI Essentials

Simple Games with AI

Copywriting with ChatGPT: Produce Compelling Copy That Sells

Visual ML with Yellowbrick

Alternative Tools for ML: an overview

Akkio

Paid

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 Software Developers

Enhance your software development career with Gen AI. Develop hands-on, in-demand Generative AI skills to elevate your software engineering game in one month or less.

#Software Engineering #Artificial Intelligence(AI)

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

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

IBM AI Product Manager

Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.

#Artificial Intelligence #Product Management

GenAI An Introductory Course

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

ML on Google Cloud

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning

Featured Tools

Creative Thinking: Techniques and Tools for Success

Master inventive thinking techniques and their application in routine problem-solving and addressing global challenges by selecting and implementing the appropriate approach for each situation.

#Creative Thinking #Problem Solving

Google AI Essentials

Generative AI facilitates daily tasks, decision-making, and idea generation, emphasizing responsible use, leveraging prompting techniques, and staying updated on AI advancements.

#Artificial Intelligence (AI) #Prompt Engineering

Simple Games with AI

To address OpenAI Gym challenges and real-world problems, this course offers pragmatic artificial intelligence methods like Genetic Algorithms, Q-Learning, and neural network implementation.

#artificial intelligence #data science

Copywriting with ChatGPT: Produce Compelling Copy That Sells

Leverage ChatGPT for audience insights, generate compelling product USPs and copy, and ensure authenticity to bypass AI detection tools.

#Marketing Communications #Digital Sales

Visual ML with Yellowbrick

This course instructs students on the Rhyme platform of Coursera, where they will evaluate random forest classifiers using Yellowbrick, address class imbalance, and conduct feature analysis with regression, cross-validation, and hyperparameter optimization.

#Data Science #Python Programming

Compare & Review AI Tool Directory AI Course Marketplace