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Supervised Machine Learning: Learn AI Basics in 100 Lessons
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Published 2/2025
Created by Peter Alkema
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 78 Lectures ( 3h 56m ) | Size: 4.81 GB

Master Supervised Learning: From AI in Marketing & Finance to Ethics & Real-World Cases

What you'll learn
Explain the role of machine learning in business decision-making, demonstrating an understanding of its impact on modern strategies
Differentiate between regression and classification models in supervised learning, specifying key differences and appropriate applications
Interpret labeled data and justify its significance in training supervised learning models for business analytics
Predict numerical outcomes using regression models, applying concepts to forecast sales, revenue, and demand in business scenarios
Evaluate model accuracy in regression through the calculation and interpretation of mean squared error (MSE).
Design a binary classification model to identify potential fraud, demonstrating the application of supervised learning in risk management
Classify customer feedback into sentiment categories using multi-class classification, demonstrating the ability to manage and analyze customer relations data
Calculate precision, recall, and F1-score for a classification model, demonstrating an understanding of these metrics in evaluating model performance
Summarize the training phase of a supervised learning model, describing the process and its significance in model development
Apply gradient descent and other optimization techniques to enhance the accuracy of supervised learning models, demonstrating an understanding of model optimiza

Requirements
This course has no prerequisites, but a basic understanding of statistics, probability, programming (Python or R), and introductory data analysis concepts will enhance your learning experience

Description
Are you ready to unlock the power of artificial intelligence and revolutionize your business decision-making process? Dive into our comprehensive course on "Supervised Machine Learning for Business" and discover how leading organizations leverage machine learning to drive innovation and stay ahead of the competition. In today's fast-paced business landscape, data-driven insights are more crucial than ever. That's why our team of experts has designed this course to equip you with the knowledge and skills needed to harness the potential of supervised learning algorithms for predictive analytics, forecasting, and optimization. Throughout this engaging and practical course, you will embark on a transformative journey that will reshape the way you approach decision-making and strategy development. From understanding the fundamentals of regression and classification models to delving into real-world business applications in marketing, finance, HR, healthcare, retail, and logistics, you will gain a deep understanding of how supervised learning can drive tangible results for your organization. Imagine being able to forecast sales with unprecedented accuracy, identify potential fraud risks before they escalate, personalize customer experiences at scale, and optimize supply chain operations for maximum efficiency. With our course, these possibilities will become realities as you master the art of feature selection, data preprocessing, model evaluation, and ethical AI adoption. But that's not all. Our course goes beyond theory to provide you with hands-on experience through practical case studies, industry examples, and interactive projects. You will learn how to interpret key metrics, evaluate model performance, and deploy AI solutions in real-world scenarios, making you a valuable asset to any forward-thinking organization. Whether you're a business professional looking to enhance your analytical skills, a data enthusiast eager to explore the world of AI, or an aspiring AI strategist seeking to drive innovation in your industry, this course is tailored to meet your needs. Join us on this exciting learning journey and unlock the full potential of supervised machine learning for your business success. Enroll today and take the first step towards becoming a confident and competent AI-driven decision-maker in the competitive business landscape of tomorrow!

Who this course is for
This course is ideal for professionals across business analysis, marketing, HR, finance, retail, and healthcare who want to apply machine learning for data-driven decision-making, predictive analytics, workforce insights, risk assessment, and operational optimization

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