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Duration of training

MACHINE LEARNING SPECIALIZATION

By Online training, OPPORTUNITIES: Training, Course, Free training, Format of the training, English, Training fee, Other, Up to three months, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
MACHINE LEARNING SPECIALIZATION

12.09.2023 |

The Machine Learning Specialization is a foundational online program created in collaboration between Stanford Online and DeepLearning.AI. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.

This Specialization, consisting of 3 courses, is an updated and expanded version of Andrew Ng’s original Machine Learning course. It offers a comprehensive introduction to modern machine learning, covering supervised learning (including multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (including clustering, dimensionality reduction, and recommender systems), and best practices in artificial intelligence and machine learning innovation (such as model evaluation, tuning, and data-centric performance improvement).

This course requires no prior knowledge, making it accessible to beginners. It covers core competencies including multiple linear regression, logistic regression, neural networks, decision trees, clustering, dimensionality reduction, recommender systems, and best practices for evaluating and tuning models, as well as adopting a data-centric approach to enhance performance. Get started on your machine learning journey with this accessible and comprehensive course.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Digital skills

Artificial Intelligence

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

MINING MASSIVE DATA SETS

By Course, Free training, Format of the training, Online training, OPPORTUNITIES: Training, Other, English, Training fee, Duration of training, Up to three months, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
MINING MASSIVE DATA SETS

12.09.2023 |

This course begins by introducing modern distributed file systems and MapReduce, with a focus on what distinguishes effective MapReduce algorithms for handling large datasets. The remainder of the course delves into algorithms for extracting valuable models and insights from these vast datasets. Topics include Google’s PageRank algorithm for assessing web page importance and its various extensions, locality-sensitive hashing for identifying similar items in massive datasets, and efficient dimensionality reduction techniques for large, sparse matrices. The course also explores a range of other large-scale algorithms, as detailed in the syllabus.

The course lasts for 7 weeks. Before taking it, a course in database systems is recommended, as is a basic course on algorithms and data structures. 

Details

Target audience

Digital skills for ICT professionals

Digital technology

Big Data

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

MLXLINK AND MLXCABLES DEBUG TOOLS

By Format of the training, Online training, OPPORTUNITIES: Training, Course, Free training, Up to one week, English, Training fee, Other, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES, Без категория
MLXLINK AND MLXCABLES DEBUG TOOLS

12.09.2023 |

In this course, you’ll learn about the MLXlink and MLXcables debug tools. These debug tools are used for both basic link troubleshooting and for analyzing the more complex link characteristics.

Course topics: 

  • Introduction to the MLXLink and MLXcables debug tools
  • Learn how to check and debug link status and issues related to them
  • Learn how to access the cables, query its IDs and read specific addresses in the EEPROM

After this course, you would understand:

  • the MLXLink and MLXcables features and abilities 
  • How to apply the MLXLink and MLXcables abilities

The audience for this course is:

  • Experienced network engineers/technicians 
  • Network Administrators 
  • •System Administrators

The prerequisites are technical background and understanding of networking hardware.

Details

Target audience

Digital skills for ICT professionals

Digital technology

Digital skills

Microelectronics

Level

Advanced

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database