ML : Algorithms in the Real World Specialization
Real-World Applications of Machine Learning. Develop proficiency in the implementation of a machine learning undertaking.
Description for ML : Algorithms in the Real World Specialization
Features of Course
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Alberta Machine Intelligence Institute
Duration: 1 month at 10 hours a week
Schedule: Flexible
Pricing for ML : Algorithms in the Real World Specialization
Use Cases for ML : Algorithms in the Real World Specialization
FAQs for ML : Algorithms in the Real World Specialization
Reviews for ML : Algorithms in the Real World Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for ML : Algorithms in the Real World Specialization
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.
Careerdekho AI assists users in discovering suitable careers through personalized recommendations across diverse fields, offering a free AI assessment and expert consultations for refined career planning.
The AI-powered decision support tool offers predictive analytics, data visualization, and seamless integration, aiding users in making informed decisions efficiently, though it may require some time to master its advanced features.
The AI tool provides comprehensive support for task management in Scrum and Kanban, offering efficient planning tools and multi-language support, although it may have a learning curve and limited integrations.
GitMind is a collaborative ideation platform offering various diagram creation tools, fostering brainstorming sessions and strategic planning with real-time collaboration, while providing a user-friendly interface and versatile diagram support, although it has limited offline functionality and lacks a dedicated mobile app.
The tool provides metadata management, data governance implementation, and consulting services, fostering a data-driven culture, but lacks detailed software descriptions, readily available pricing information, and sufficient user reviews.
The platform enhances workflow management and collaboration by integrating with popular applications, offering features like communication organization, task creation, and customizable summaries, albeit requiring a learning curve for novice users and occasional pending accessibility issues.
This tool optimizes customer-facing team meetings by automating meeting summaries, facilitating contextual linking, and integrating with standard tools, although users may require time to adapt, and overreliance on the tool could impact individual note-taking skills.
Orygo AI streamlines knowledge management by integrating with multiple applications, offering AI-powered search, tutorial creation, and personalized learning paths, although novice users may face initial challenges with feature overload and platform dependence.
The AI-powered platform enhances team communication and project monitoring efficiency through features like AI-generated video summaries, asynchronous video communication, analytics, and GDPR compliance, promoting collaboration and trust among teams and clients.
Featured Tools
Acquire a thorough knowledge of AI and cognitive science while investigating robots, machine learning, and natural language processing.
Acquire the knowledge necessary to direct your AI voyage. In this program, a CEO will instruct you on how to become a hands-on, AI-powered leader who is prepared to unlock the transformative potential of GenAI for your organization.
A four-week course that explores the ethical and societal implications of artificial intelligence, addressing topics such as AI bias, surveillance, democracy, consciousness, responsibility, and control, and fostering reflection and discussion on these issues.
Gain a foundational understanding of machine learning and its applications, collaborate with AI professionals, and complete a practical project to train and optimize a model.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world