Coursera – IBM Machine Learning Professional Certificate 2024-3 – Download

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, in addition to the basic topics of machine learning, other important topics such as time series analysis and analysis, survival or survival analysis, supervised learning, learning unsupervised, deep learning, reinforcement learning, etc. will also be discussed. Machine learning and deep learning are among the most important and in-demand job skills used in almost every knowledge-based business. Machine learning is a subset of artificial intelligence and its important applications, and the number of job postings has increased by more than 74% annually.

This training package consists of 6 separate courses and in addition to the theoretical topics, it includes a set of practical exercises, algorithms and the best approaches for developing machine learning based systems. This course is in no way suitable for beginner students and the student must have some practical experience and basic knowledge of Python programming, statistics and algebra.

What you will learn in the IBM Machine Learning Professional certificate

data science
Deep learning
Artificial intelligence and its various applications and subfields
machine learning
Python Programming Language Basics
Feature engineering or feature extraction or feature discovery
statistical hypothesis testing
Exploratory Data Analysis or EDA for short
regression analysis
supervised teaching
Linear regression or linear regression or linear regression
Stepwise regression
And…

Course Specifications

Editor: Coursera
Instructors: Joseph Santarcangelo, Svitlana (Lana) Kramar, Mark J Grover, Miguel Maldonado and Yan Luo
French language
Intermediate level
Institution/university: IBM
Number of lessons: 6
Duration: 3 months at 10 hours per week

Courses included:

IBM Machine Learning Professional Certificate

Specialized models: time series and survival analysis

IBM Machine Learning Professional Certificate Prerequisites

What basic knowledge is needed?

Ideally, you should have some knowledge of mathematics, statistics, and computer programming, as most demos, labs, and projects use the Python programming language and concepts such as matrix factorization, convergence, or stochastic gradient descent. This professional certificate is specifically designed for scientists, software developers and business analysts who want to complement their analytical skills in data science, AI and machine learning, but is also suitable for anyone passionate about data and mathematics of basic, statistics and programming skills.