Coursera – IBM Machine Learning Professional Certificate 2022
IBM Machine Learning Professional

Coursera – IBM Machine Learning Professional Certificate 2022

Description

IBM Machine Learning Professional Certificate is a project-based 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 …

 IBM Machine Learning Professional Course details

Publisher: Coursera
Instructor: Joseph Santarcangelo , Svitlana (Lana) Kramar, Mark J Grover, Miguel Maldonado and Yan Luo
Language: English
Provider institution/university: IBM
Training level: Intermediate
Number of courses: 6
Training duration: 3 Hours Work per week for about 7 months

Courses available in the IBM Machine Learning Professional Certificate collection

Course 1

Exploratory Data Analysis for Machine Learning

Course 2

Supervised Machine Learning: Regression

Course 3

Supervised Machine Learning: Classification

Course 4

Unsupervised Machine Learning

Course 5

Deep Learning and Reinforcement Learning

Course 6

Specialized Models: Time Series and Survival Analysis

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 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.

 IBM Machine Learning Professional Course images

 

 IBM Machine Learning Professional

 IBM Machine Learning Professional Installation guide

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Quality: 720p

This collection includes 6 different courses.

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Exploratory Data Analysis for Machine Learning

Download the course – 445 MB

Supervised Machine Learning: Regression

Download the course – 474 MB

Supervised Machine Learning: Classification

Download the course – 686 MB

Unsupervised Machine Learning

Download the course – 425 MB

Deep Learning and Reinforcement Learning

Download the course – 819 MB

Specialized Models: Time Series and Survival Analysis

Download the course – 628 MB
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