Brief Introduction
Machine learning is changing countless industries, from health care to finance to market predictions. Currently, the demand for machine learning engineers far exceeds the supply. In this program, you’ll apply machine learning techniques to a variety of real-world tasks, such as customer segmentation and image classification. This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day.Course Summary
Learn the basics of machine learning using TensorFlow in this introductory course. Develop your skills through hands-on projects and gain an understanding of the practical applications of machine learning.Key Learning Points
- Get introduced to machine learning and TensorFlow
- Learn supervised and unsupervised learning techniques
- Build your own machine learning models and algorithms
- Develop skills through real-world projects
Job Positions & Salaries of people who have taken this course might have
- USA: $112,000
- India: ₹1,500,000
- Spain: €43,000
- USA: $112,000
- India: ₹1,500,000
- Spain: €43,000
- USA: $117,000
- India: ₹1,900,000
- Spain: €38,000
- USA: $112,000
- India: ₹1,500,000
- Spain: €43,000
- USA: $117,000
- India: ₹1,900,000
- Spain: €38,000
- USA: $140,000
- India: ₹2,500,000
- Spain: €51,000
Related Topics for further study
Learning Outcomes
- Develop a strong understanding of the fundamentals of machine learning
- Gain hands-on experience building your own machine learning models and algorithms
- Learn how to apply machine learning to real-world projects and scenarios
Prerequisites or good to have knowledge before taking this course
- Basic understanding of programming concepts
- Familiarity with Python
Course Difficulty Level
IntermediateCourse Format
- Self-paced learning
- Online video lectures
- Hands-on projects
Similar Courses
- Applied Data Science with Python
- Machine Learning for Everyone
Notable People in This Field
- Andrew Ng
- Yann LeCun
Related Books
Description
Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Then, use these skills to test and deploy machine learning models in a production environment.Knowledge
- This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks. It is designed for people who are new to machine learning and want to build foundational skills in machine learning algorithms and techniques to either advance within their current field or position themselves to learn more advanced skills for a career transition.
Outline
- Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects. Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms in TensorFlow and scikit-learn.
Summary of User Reviews
Key Aspect Users Liked About This Course
The hands-on experience provided in the course is highly appreciated by many users.Pros from User Reviews
- Comprehensive curriculum
- Real-world projects
- Active community support
- Opportunity to work with TensorFlow
- Great for beginners
Cons from User Reviews
- Some users found the course challenging
- Not suitable for advanced learners
- Limited interaction with instructors
- Some users found the course to be too basic
- Not much focus on the math behind machine learning
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