DESCRIPTION 

The future is driven by data, and Machine Learning (ML) makes it possible to access and analyze larger amounts of data faster than ever before. Gartner predicts that, in next 5 years, ML will penetrate even more business fields helping to increase efficiency and work security. The fast-emerging technology of AI and ML is expected to automate up to 300 million jobs in the United States and Europe, according to investment bank Goldman Sachs, while simultaneously creating 97 million new roles that require advanced technical skills by 2026. The course covers practical issues in Machine learning which includes programming in Python, as well as a wide range of algorithms for supervised and unsupervised learning. The course will also discuss recent applications of machine learning such as recommendation systems, email spam detection, stock market prediction and sentiment analysis to determine the sentiment or opinion of a given text. This course is designed to give you the practical experience you need to quickly apply these techniques to new problems. 

 

TARGET AUDIENCE

The course is dedicated for individuals interested in Machine Learning who have a basic understand of probabilities, statistics and algebra and fundamental background on IT Programming with focus on python who wants to create added value to the businesses by using powerful Machine Learning tools. 

 

TRAINING CONTENT

  • Introduction to Machine Learning
  • Naive Bayes classifier
  • Support Vector Machine
  • K-Nearest Neighbors
  • Bayesian Machine Learning
  • Bootstrap and Re-sampling methods
  • Deep Learning and Optimization techniques
  • Python programming for ML
  • Supervised Learning Techniques
  • Unsupervised Learning Techniques
  • Reinforcement Learning Techniques
  • Regression Analysis

You can apply for our training program at:  e.ictkosovo.eu