Learn About Machine Learning (From Zero To Hero)

Unlock the Power of Data Science with Comprehensive Machine Learning Training

What you'll learn

Mastering Core Machine Learning Concepts

Practical Application of Machine Learning Algorithms

Building Effective Recommender Systems

Exploring Advanced Ranking Techniques

Assessment and Evaluation

Requirements

Basic understanding of programming concepts

Eagerness to learn and explore new concepts in machine learning.

A Good Knowledge of Math and introductory statistics concepts (e.g., mean, median etc)

Description

Embark on an exhilarating journey into the realm of machine learning with our comprehensive course designed for both beginners and aspiring experts. From laying a strong foundation to mastering advanced techniques, this course will take you from zero to hero in the dynamic field of machine learning.Explore the core principles, algorithms, and applications of machine learning, including supervised learning, unsupervised learning, recommender systems, ranking algorithms, and a glimpse into the future with deep learning. Dive into hands-on exercises, practical examples, and interactive quizzes to reinforce your learning and sharpen your skills.Whether you're a novice looking to build a solid understanding of machine learning concepts or an experienced practitioner seeking to enhance your expertise, this course is your gateway to unlocking the power of data science. Join us and become a machine learning hero today!Gain the confidence to tackle real-world challenges with data-driven insights and make meaningful contributions to any industry. With engaging lectures, expert guidance, a supportive learning community, lifetime access, and regular updates, you'll have all the resources you need to succeed. Don't miss this opportunity to elevate your skills and embark on a rewarding journey in the world of machine learning.Throughout the course, you'll work on practical projects that simulate real-world scenarios, allowing you to apply your knowledge and build a robust portfolio to showcase your skills to potential employers or clients. Additionally, you'll have access to a dedicated support team and community forums, where you can interact with instructors and fellow learners to discuss concepts, ask questions, and share insights.Enroll now and take the first step towards mastering machine learning, unlocking exciting career opportunities, and making a lasting impact in the world of technology and data science!

Overview

Section 1: Introduction to Machine Learning

Lecture 1 Machine Learning Overview

Section 2: ML - Supervised Learning

Lecture 2 Naive Bayes Classifiers

Lecture 3 K-Nearest Neighbors

Lecture 4 Linear Regression

Section 3: ML - Unsupervised Learning

Lecture 5 K-Means Clustering

Lecture 6 Singular Value Decomposition

Lecture 7 Singular Value Decomposition - Example

Section 4: ML - Recommender Systems

Lecture 8 Collaborative filtering

Lecture 9 Content-based filtering

Section 5: ML - Ranking Algorithms

Lecture 10 Learning to Rank

Section 6: For the Future

Lecture 11 Future Goals and actions

Beginner-Intermediate Developers,Students,Career Changers,Self-Learners