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IBM Machine Learning
Coursera
Professional Certificate
Unknown

IBM Machine Learning

IBM

Professional certificate teaching AI and machine learning skills for specialized roles with intensive practice in under 3 months.

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About this Course

Prepare for a career in the field of machine learning. In this program, you’ll learn in-demand skills like AI and Machine Learning to get job-ready in less than 3 months. Machine Learning is the use and development of computer systems that are able to learn and adapt by using algorithms and statistical models to analyze and draw inferences from patterns in data. Machine Learning is a branch of Artificial Intelligence (AI ) where computers are taught to imitate human intelligence in that they solve complex tasks. Roles available to those proficient in Machine Learning include machine learning engineer, NLP scientist, and data engineer. This program consists of courses that provide you with a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning. Topics covered include Supervised and Unsupervised learning, Regression, Classification, Clustering, Deep learning and Reinforcement learning . You will follow along and code your own projects using some of the most relevant open-source frameworks and libraries, and you will apply what you have learned in various courses by completing a final capstone project. Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support

What You'll Learn

  • Master practical machine learning skills
  • Compare ML algorithms by building recommender systems
  • Develop knowledge of KNN, PCA, and collaborative filtering
  • Predict ratings using neural networks and regression models

Prerequisites

  • Basic familiarity with topic and terminology
  • Preparedness for practical exercises and case studies

Instructors

K

Kopal Garg

Data Scientist

X

Xintong Li

Data Scientist at IBM

A

Artem Arutyunov

Data Scientist

J

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

Topics

Machine Learning
Data Science
Data Analysis
Applied Machine Learning
Autoencoders
Classification Algorithms
Convolutional Neural Networks
Data Preprocessing
Deep Learning
Dimensionality Reduction

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تعلم الآلة
علوم البيانات
تحليل البيانات
تطبيقات تعلم الآلة
المشفّرات الذاتية
خوارزميات التصنيف
الشبكات العصبية الالتفافية
تجهيز البيانات
Deep Learning
Dimensionality Reduction

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