[Coursera] IBM Machine Learning Professional Certificate
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Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Also gain practice in specialized topics such as Time Series Analysis and Survival Analysis.
WHAT YOU WILL LEARN
Compare and contrast different machine learning algorithms by creating recommender systems in Python
Develop a final project using machine learning methods and evaluate your peers’ projects
Predict course ratings by training a neural network and constructing regression and classification models
Create recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering
SKILLS YOU WILL GAIN
- Artificial Intelligence (AI)
- Machine Learning
- Feature Engineering
- Statistical Hypothesis Testing
- Exploratory Data Analysis
- Regression Analysis
- Supervised Learning
- Linear Regression
- Ridge Regression
- Machine Learning (ML) Algorithms
- Decision Tree
- Ensemble Learning
Description
IBM Machine Learning Professional Certificate is a project-based machine learning training package prepared in partnership with IBM and Coursera Academy. In this training course, in addition to the basic topics of machine learning, other important topics such as time series analysis and analysis, survival analysis or survival, supervised learning, unsupervised learning, deep learning, reinforcement learning, etc. will also be discussed. Machine learning and deep learning are among the most important and in-demand work skills used in almost all knowledge-based companies. Machine learning is a subset of artificial intelligence and its important applications, and the number of job openings has grown by more than 74% annually.
This training package consists of 6 separate courses and in addition to theoretical topics, it includes a set of practical exercises, algorithms and the best approaches for developing systems based on machine learning. This course is by no means suitable for beginner students and the student is expected to have a little practical experience and background knowledge in Python programming, statistics and algebra.
What you will learn in IBM Machine Learning Professional Certificate
- Data science
- Deep learning
- Artificial intelligence and its various applications and subfields
- machine learning
- Basics of Python programming language
- Feature engineering or feature extraction or feature discovery
- Statistical hypothesis testing
- Exploratory data analysis or EDA for short
- regression analysis
- Supervised learning
- Linear regression or linear regression or linear regression
- Stepwise regression
- And …
Course Specifications
Publisher: Coursera
Instructors: Joseph Santarcangelo, Svitlana (Lana) Kramar, Mark J Grover, Miguel Maldonado and Yan Luo
Language: English
Level: Intermediate
Institution/university: IBM
Number of Courses: 6
Duration: Approximately 7 months to complete – Suggested pace of 3 hours/week
Size: 1.58 GB
https://www.coursera.org/professional-certificates/ibm-machine-learning.