Machine Learning Terminology & Process For Beginners

Learn Machine Learning Terminology & Process and gain solid understanding along with hand-on labs. Master 5 Steps of ML
4.03 (34 reviews)
Udemy
platform
English
language
Data Science
category
Machine Learning Terminology & Process For Beginners
6 098
students
3.5 hours
content
Sep 2023
last update
$44.99
regular price

Why take this course?

🎉 Course Headline: Master Machine Learning Terminology & Process with Hand-On Labs 🚀

Unlock the Secrets of Machine Learning with Our Comprehensive Course!


Overview:

In the era where Artificial Intelligence, Cloud Computing, and Big Data are shaping the future, understanding Machine Learning Terminology & Process For Beginners is more crucial than ever. Whether you're new to machine learning or aiming to excel within the AWS ecosystem and pursue AWS certifications, this course is your gateway to mastery. 🧠✨


Course Description:

Welcome to our signature course, "Machine Learning Terminology & Process For Beginners"! This isn't just another online course—it's a tailored journey through the core concepts and practical applications of machine learning. Designed exclusively for beginners, this course will guide you through the essentials in an engaging, interactive format with up-to-date knowledge and hands-on labs. 🛠️💡


Key Highlights:

  • AWS Machine Learning Awareness: Note that AWS machine learning services may incur additional costs from AWS.
  • Comprehensive Coverage: From basic terminology to advanced model training, this course touches it all.
  • Expert-Led Learning: Crafted by our team of industry-recognized developers and consultants at ClayDesk.
  • Real-World Applications: Get ready to see machine learning predictions in action! 📈✨

What You'll Learn:

Machine Learning Fundamentals: Dive into the essential terminology and processes that form the bedrock of AI.

Problem Framing: Learn how and when to apply machine learning effectively.

Data Preparation: Master the art of preparing and developing data sets for optimal results.

Feature Engineering & Data Visualization: Gain expertise in enhancing your datasets and visualizing data for better insights.

Model Training & Evaluation: Understand the nuances of training models and evaluating their performance.

Business Goal Evaluation: See how machine learning outcomes align with business objectives.

Hands-On Practice: Engage with practical labs to solidify your understanding of each concept.


Resources & Support:

🚀 Complete Resources & Code Samples: Get all the materials you need to succeed, including full code examples where applicable.

🏆 Certification of Completion: Earn a certification to showcase your new skills and knowledge.


Student Testimonials:

📣 "This course is so comprehensive that I didn’t feel the need for any other course to learn all about Machine Learning processes and important terminology, along with demos—absolutely worth it!" - Chavez 🌟

"I loved every bit of this course—a wonderful learning experience!" - Jill Neumann 💖


Course Instructor:

As a seasoned Senior Project Manager & Web Developer, and a Microsoft Certified Systems Engineer & Trainer, I have had an incredible journey with machine learning projects. My passion for sharing knowledge is the driving force behind this course. With ClayDesk, we're committed to empowering you with the skills needed to thrive in today's tech landscape. 🌱


Why Enroll?

  • Cutting-Edge Learning: Stay at the forefront of enterprise cloud computing and opportunities with the latest insights and practices.
  • Marketable Skills: Acquire skills that are in high demand within the IT industry, enhancing your career prospects.
  • Expert Guidance: Learn from someone who has firsthand experience with successful machine learning projects.

Join Us!

Don't miss out on this transformative journey into the world of machine learning. Enroll now in "Machine Learning Terminology & Process For Beginners" and embark on a path to success and innovation. Let's learn together and redefine our future in tech! 🚀🌟

  • Syed & Team ClayDesk

Course Gallery

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2285673
udemy ID
22/03/2019
course created date
20/11/2019
course indexed date
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