Yonsei - Deep Learning for Business
4.7 /5- Offered byCoursera
Deep Learning for Business at Coursera Overview
Deep Learning for Business
at Coursera
Upskilling is a better roadmap to success. Enroll in this course to learn critical principles of Machine Learning through real-life case studies & examples
Duration | 8 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Deep Learning for Business at Coursera Highlights
Deep Learning for Business
at Coursera
- Start instantly and learn at your own schedule.
- Earn a certificate of learning on course completion
- A great course for learning Machine Learning
- This course is offered by Yonsei University
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Deep Learning for Business at Coursera Course details
Deep Learning for Business
at Coursera
Skills you will learn
Who should do this course?
- This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.
What are the course deliverables?
- Discuss common regression, classification, and multilabel classification metrics
- Explain the use of linear and logistic regression in supervised learning applications
- Describe common strategies for grid searching and cross-validation
- Employ evaluation metrics to select models for production use
- Explain the use of tree-based algorithms in supervised learning applications
- Explain the use of Neural Networks in supervised learning applications
- Discuss the major variants of neural networks and recent advances
- Create a neural net model in Tensorflow
- Create and test an instance of Watson Visual Recognition
- Create and test an instance of Watson NLU
More about this course
- Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced self-learning capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers. The second part focuses on the core technologies of DL and ML systems, which include NN (Neural Network), CNN (Convolutional NN), and RNN (Recurrent NN) systems. The third part focuses on four TensorFlow Playground projects, where experience on designing DL NNs can be gained using an easy and fun yet very powerful application called the TensorFlow Playground. This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products.
Deep Learning for Business at Coursera Curriculum
Deep Learning for Business
at Coursera
Model Evaluation and Performance Metrics
Building Machine Learning and Deep Learning Models
Deep Learning for Business at Coursera Entry Requirements
Deep Learning for Business
at Coursera
Eligibility criteria
- It is assumed that you have completed Courses 1 through 3 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.
Conditional Offer
- Not mentioned
Deep Learning for Business at Coursera Admission Process
Deep Learning for Business
at Coursera
Important Dates
May 25, 2024
Course Commencement Date
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3 months
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S
Sachin Rawat
Deep Learning for Business
Offered by Coursera
4
Other: Informative course. The only problem is that it is very short.
Reviewed on 13 Jun 2021Read More
R
RAJNISH KUMAR ANAND
Deep Learning for Business
Offered by Coursera
5
Other: The Course was amazing . you will get lots of exercises to practice and that will definitely increasing your thinking on how to think of a real world problem. Andrew Ng teaching style is also great from beginner to advance.
Reviewed on 15 Mar 2021Read More
P
Punnam Lakshmi Manikanteswar
Deep Learning for Business
Offered by Coursera
5
Other: This is a "Deep Learning Specialization" certificate i got for completing all the five courses included in this specialization by "deeplearning.ai" .
Reviewed on 15 Mar 2021Read More
View All 3 Reviews
Deep Learning for Business
at Coursera
Student Forum
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