Machine Learning uses have skyrocketed since the recent development in technology and algorithms. Machine learning is extensively used for generating personalized recommendations using the trained data, which helps in enhancing user experience and increasing sales.
Machine learning can learn and improve from experience without being explicitly programmed. Machine learning uses include predictive analytics, natural language processing, Image and Video Recognition, Speech Recognition, Personalization, recommendation, fraud detection, autonomous systems, and more.
With PW Skills Free Masterclass, you can enhance your knowledge of machine learning and the role of Amazon in implementing effective machine learning algorithms to offer personalization. Attend the PW Skills Masterclass on Machine Learning on January 11, 2024. Hurry, Apply Now!
What Is Machine Learning?
Machine learning is a subfield of Artificial Intelligence (AI) that works on advanced algorithms to help organizations make data-based decisions and learn and improve from experience. ML Models can easily recognize patterns and make predictions based on data. These advanced Machine learning models are used in fraud detection, image recognition, predictive analytics, and more.
Machine learning involves training algorithms on datasets to build ML models that can make predictions, analyse and classify data more precisely and accurately.
PW Skills Free Masterclass On Machine Learning: 11th January
Check the upcoming schedules and overview of the PW Skills Masterclass on Machine Learning uses by Amazon to implement personalized recommendations.
Name of Masterclass | PW Skills Masterclass on Machine Learning Uses by Amazon to implement Personalized recommendation |
Provided by | PW Skills |
Mode | Industry Led Live Sessions 🎦 |
Delivery Mode | Online |
Mode of Class | Zoom Platform |
Suitable for 📝 | Data Scientist Aspirants, Tech Professionals, Students, Career Changers |
Eligibility Requirements | Beginner Friendly Masterclass 🥳😍 |
Certification | Yes ✅ |
Date of Masterclass | Saturday, 11 January, 2025 |
Timing | 07:00 PM to 09:00 PM |
Price | Free🆓⭐ |
Duration of Masterclass | 2 hours Sessions |
Hands on Training | Real World Case Studies ✨🔭 |
Learn How Amazon Deploys Real Time Personalization With Machine Learning In PW Skills Free Masterclass
Trust Me! We all have used Amazon to purchase something for our loved ones or one for ourselves. Ever wonder how Amazon gets to know what we need at the current time and offers us suggestions on their applications in real time? Well! This 2 hours Free Masterclass is going to help you learn everything you need to understand about Amazon personalization by making machine learning uses and its models.
Register for Masterclass (Free)
The PW Skills Free Masterclass is scheduled on January 11th from 7:00 PM to 9:00 PM. Hurry! Apply now!, book your seat and make the best use of your weekend getaway and upskill your knowledge.
How Amazon Uses Machine Learning For Personalized Recommendations?
Amazon uses Machine Learning for personalized recommendations in order to improve the user experience and drive more customer engagement on the application. Amazon processes an extensive amount of data to deliver highly personalized recommendations and suggestions for products and services listed on the Amazon Application. Let us get a simple overview of how Amazon knows exactly what we are looking for at the right time.
1. Data Collection From Users
Amazon collects information and data from various sources such as browsing history, purchase history, wishlist items, rating and reviews, order history, and more. Amazon Machine Learning uses this data to form the foundation for understanding user preferences and behavior.
2. Collaborative Filtering
Now amazon has developed a recommendation method based on the behavior of users with similar preferences. Recommends frequently purchased items together and finds users with similar purchase histories or behavior.
For example, if Aryan and Aman both bought product X and Aryan also purchased product Y. Now, Amazon might recommend this product Y to Aman. This is a very simple demonstration of how Amazon integrates machine learning uses to develop personalized recommendations for its users.
3. Content Based Filtering
Amazon also uses product attributes and user preferences to recommend similar items by analyzing metadata like product descriptions, categories, and features and suggesting products similar to what a user has viewed or purchased.
For example, if someone buys a mystery novel on Amazon, then Amazon might recommend other mystery books based on genre and keywords.
4. Deep Learning and Neural Networks
Amazon incorporates advanced deep learning models, neural networks, and natural language processing to track user interactions and identify frequent patterns in user behavior. This makes machine learning models by Amazon more effective.
5. Amazon Personalize
Amazon developed its own recommendation machine learning tools which help developers to deploy a custom recommendation engine with the power to offer real time personalization and user segmentation. Amazon Personalize is now AI-powered to elevate the customer experience in real time.
PW Skills Masterclass Course Outline & Roadmap
Enroll in PW Skills Masterclass on Machine Learning uses with Amazon for personalized recommendations. Get an overview of the masterclass outline below.
- You will get to understand Amazon’s recommendation systems.
- Role of Collaborative Filtering and content based filtering in Machine Learning Models.
- Hybrid Models for Personalization at Scale
- Preprocessing and cleaning of data for recommendation models
- Apply Neural Networks for recommendations, tasks, and machine learning uses.
- Understanding ranking models and optimization techniques
- Metrics for evaluating recommendation models.
- Work on real-world case studies on how Amazon recommends products based on user behavior.
- Challenges and complexities of Deploying a large scale recommendation systems
- Role of ethical consideration in personalized recommendations.
Get Participation Certification From PW Skills (Free)
Hurry! Grab your free certification of participation and attend the PW Skills Masterclass. Learn about machine learning uses to build Amazon’s personalized recommendation systems. Learn from experienced mentors throughout this two-hour live course.
You will be taught in the presence of an IIT Kharagpur Alumni working as a Lead data Scientist at Amazon and holding over 7+ years of experience. Solve your queries and doubts in the doubt sessions offered within this masterclass.
Learn Data Science With Generative AI On PW Skills
Become a master in Data Science and Machine Learning with PW Skills Data Science with Generative AI Course. Build real world capstone projects based on the concepts covered in the machine learning, Python, and artificial intelligence modules.
Experts at PW Skills will guide you through industry oriented curriculum and prepare you for interview opportunities. Delve into instructor-led live sessions and leverage Dedicated doubt support with this Python Machine learning course and become job-ready.
Machine Learning Uses On Amazon For Personalized Recommendation FAQ
Q1. Is PW Skills Masterclass on Machine Learning uses free?
Ans: You can register for our PW Skills Masterclass on Machine Learning uses for developing Amazon recommendation systems. Learn machine learning models, deployment techniques, and neural networks with hands on real world case studies within this free masterclass on PW Skills.
Q2. What is the duration of the PW Skills Masterclass on Machine learning uses?
Ans: The duration of PW Skills masterclass is 2 hours where you will learn about machine learning models, Amazon personalized recommendation systems, real world case studies and more.
Q3. Does this masterclass provide certification for free?
Ans: Every candidate who attends this masterclass will get a completely free certification of participation from PW Skills.
Q4. Are there any prerequisites for enrolling in the PW Skills Masterclass?
Ans: No, the complete masterclass is beginner-friendly and suitable for beginners, students, working professionals, tech enthusiasts, and more. No prior educational qualification is required to attend this masterclass.