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Artificial Intelligence

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Course Overview

Artificial intelligence is the ability of machines to mimic human intelligence to reach solutions. Explore AI and its uses.

Data science methods are used across several industries to deliver value to businesses. Machine learning (ML) is a data science method that uses prediction algorithms that find patterns in massive amounts of data, allowing machines to predict future results and make decisions with minimal human intervention. Through this course, learn foundational methods for using machine learning. Examine what machine learning is, how it is categorized, and common machine learning challenges. Next, learn about common types of machine learning tasks, such as clustering, classification, and regression. Finally, explore the types of regression, including simple and multiple linear regression. Upon completion, you'll be able to define machine learning and methods for using it.

In data science, many statistical and analytical techniques can be used to pull meaningful insights from data. Additionally, some advanced data science methods rely on other foundation data science methods, such as the case of text mining. Through this course, learn about advanced data science methods and their use cases. Explore advanced machine learning (ML) methods such as text mining and graph analysis and their uses. Next, learn about the anomaly and novelty detection processes. Finally, examine association rule mining and neural networks and their use cases across industries. After course completion, you'll be able to outline advanced methods for data science.

Artificial intelligence (AI) provides cutting-edge tools to help organizations predict behaviors, identify key patterns, and drive decision-making in a world that is increasingly made up of data. In this course, you will explore the full definition of AI, how it works, and when it can be used. You will identify the types of data tools and technologies AI uses to operate. Next, you will discover a framework for using the AI life cycle and data science process. Finally, you'll consider what you need to keep in mind as you implement AI techniques in your organization. Upon completion of this course, you'll be familiar with common concepts and use cases of artificial intelligence (AI) and be able to outline strategies for each part of the AI life cycle.

Key Takeaways

Discover the key concepts covered in this course
Identify use cases for machine learning and differentiate supervised and unsupervised machine learning
Outline clustering and differentiate its benefits and challenges
List considerations for evaluating the accuracy of a clustering algorithm
Identify the uses of classification and name common classifiers

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At Skillsoft, we believe every individual has the poten-tial to be amazing. Our vision is to unleash that poten-tial through the power of learning. As the world’s largest provider of professional digital learning, Skill-soft delivers:
• Online learning that includes a broad catalogue of in-demand topics, built with deep expertise in the subject matter and scientifically proven learning science;
• Engaging learning experiences ranging from micro-learning to complete journeys and professional certifications that have impacted nearly half a billion people worldwide and certified more IT professionals than any firm on the planet; and
• A powerful, flexible, and engaging cloud-native plat-form designed to seamlessly integrate both with lead-ing HCM solutions and the natural flow of work.
Unlike other providers, Skillsoft is inclusive, with learning options for all. Our effectiveness, variety and global reach are unmatched.

Course Outline

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What language will the course be taught in and what level of English do I need to take part in an LEORON training program?
Most of our public courses are delivered in English language. You need to be proficient in English to be able to fully participate in the workshop and network with other delegates. For in-house courses we have the capability to train in Arabic, Dutch, German and Portuguese.
Are LEORON Public courses certified by an official body/organization?
LEORON Institute partners with 20+ international bodies and associations.We also award continuing professional development credits (CPE/PDUs) for:1. NASBA (National Association of State Boards of Accountancy) 2. Project Management Institute PDUs 3. CISI credits 4. GARP credits 5. HRCI recertification credits 6. SHRM recertification credits
What is the deadline for registering to a public course?
The deadline to register for a public course is 14 days before the course starts. Kindly note that occasionally we do accept late registrations as well, but this needs to be confirmed with the project manager of the training program or with our registration desk that can be reached at +1071 4 1075 5711 or [email protected].
What does the course fee cover?
The course fee covers a premium training experience in a 5-star hotel, learning materials, lunches & refreshments, and for some courses, the certification fee and membership with the accrediting bodies.
Does LEORON give discounts?
Yes, we can provide discounts for group bookings. If you would like to discuss a discount on a corporate level, we will be happy to talk to you.