Online Courses
Choose from the most popular, accredited, and latest online courses. Advance your career skills today with 100% online world-class Universities and industry experts. Flexible and affordable options to balance the demand of your work, family, and education.
Filter
Showing all 3 results
- Skillshare
- Sundog Education
- Online Course
- Beginner
- Less Than 24 Hours
- Free Trial (Paid Course & Certificate)
- Self-paced
- English
- Python
- Apache Spark
- None Pre-requisite
- Apache Spark Training Data Science Data Science with 'Python' Data Visualization Machine learning Probability Recommendation Systems Regression Analysis Reinforcement learning
The score is based on the user experience, rated by the learners.
PROS:
- One can start without any programming background.
- Concise implementation of basic algorithms.
- Very informative lessons on regression & Reinforcement.
CONS:
- This course needs to have in-depth exercises.
- Need more description on models (Specifically hyperparameters).
- Skillshare
- Sundog Education
- Online Course
- Self-paced
- Intermediate
- Less Than 24 Hours
- Paid Course (Paid certificate)
- English
- Deep learning Keras Machine learning Natural language processing TensorFlow
The score is based on the user experience, rated by the learners.
PROS:
- Good introductory course on Deep Learning.
- Demystifying a lot of terms and concepts, explain in a simple and clear way.
- Recommended by learners as an intermediate level course.
CONS:
- Need more description on models (Specifically hyperparameters).
- Udemy
- Sundog Education
- Online Course
- Self-paced
- Beginner
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Basic Scripting in Python High School Level Maths Previous Programming Experience
- Apache Spark Training Big data Data Mining Data Science Data Science with 'Python' Deep learning Machine learning Natural language processing Practical Statistics Probability
The score is based on the user experience, rated by the learners.
PROS:
- Commencement from basic maths.
- Detail implementation to a neural network.
- Very informative lessons on areas like Deep Learning & Neural networks.
CONS:
- This course needs to have in-depth exercises.
- Some DL topics needed better and more in depth explanation of the concepts.