Description
IBM Machine Learning Professional Certificate is a project-oriented machine learning training series 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, survival analysis, supervised learning, unsupervised learning, deep learning, reinforcement learning, etc. will be discussed. Machine learning and deep learning are among the most important and demanding work skills that are used in almost all knowledge-based companies. Machine learning is one of the subsets of artificial intelligence and its important applications, and the number of open job positions has grown by more than 74% every year.
This educational series consists of 6 separate courses and in addition to theoretical topics, it contains a set of practical exercises, algorithms and the best approaches for developing machine learning-based systems. This training course is not suitable for beginners and the student is expected to have some practical experience and sufficient background knowledge in Python programming, statistics and linear algebra.
What you will learn in the IBM Machine Learning Professional Certificate training series:
- data science
- Deep learning
- Artificial intelligence and its various applications and sub-branches
- machine learning
- Basic principles and 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
- Rigorous regression
- And …
Course details
Publisher: Coursera
teacher: Joseph Santarcangelo Svitlana (Lana) Kramar, Mark J Grover, Miguel Maldonado and Yan Luo
English language
Presenting Institute/University: IBM
Education level: Intermediate
Number of courses: 6
Duration of training: assuming 10 hours of work per week, about 3 months
Courses available in the IBM Machine Learning Professional Certificate collection
Course prerequisites
What background knowledge is necessary?
Ideally, you should have some background in Math, Stats, and computer programming, as most demonstrations, labs, and projects use Python programming language and concepts like matrix factorization, convergence, or stochastic gradient descent. This Professional Certificate is designed specifically for scientists, software developers, and business analysts who want to round up their analytical skills in Data Science, AI, and Machine Learning, but is also appropriate for anyone with a passion for data and basic Math, Statistics, and programming skills.
Course images
Sample video of IBM Machine Learning Professional Certificate course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
This collection includes 6 different courses.
Version 2024/3 compared to 2022/6 has reduced the number of 7 lessons and the duration of 6 hours and increased 63 text files.
download link
Supervised Machine Learning Classification
Unsupervised Machine Learning
Deep Learning and Reinforcement Learning
Exploratory Data Analysis for Machine Learning
Machine Learning Capstone
Supervised Machine Learning Regression
Password file(s): www.downloadly.ir
Size
About 2.86 GB in total
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