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IBM Introduction to Machine Learning Specialization 2024

Original price was: $15.00.Current price is: $6.00.

Brand: Expert Training
Sale Price: $6.00
Regular Price: $19.00
Size: 2.10 GB
Duration: 21.50+ hours
Language: English
Delivery: Instant Download
Rating: ⭐️⭐️⭐️⭐️⭐️ 4.9

Description

IBM Introduction to Machine Learning Specialization 2024

The IBM Introduction to Machine Learning Specialization 2024 offers a comprehensive foundation in machine learning techniques and algorithms, ideal for learners looking to break into the field of AI and data science. This specialization is designed by IBM and provides hands-on experience with essential tools and frameworks that are widely used in machine learning development.

Why Machine Learning?

Machine learning is transforming industries by enabling businesses to derive actionable insights from data. With its growing importance across various sectors, from finance to healthcare, mastering machine learning can significantly boost your career opportunities and open doors to exciting roles like data scientist, machine learning engineer, and AI specialist.

What You Will Learn

  • Fundamentals of Machine Learning: Gain a strong understanding of machine learning concepts, including supervised and unsupervised learning, classification, and regression.
  • Data Preprocessing: Learn how to prepare and clean data for machine learning tasks to improve model accuracy.
  • Algorithms: Explore popular machine learning algorithms like decision trees, random forests, KNN, and more.
  • Model Evaluation: Understand how to assess the performance of your models using evaluation metrics such as precision, recall, F1 score, and more.
  • Hands-on Practice: Apply your learning through practical assignments and projects using real-world datasets to create, test, and evaluate machine learning models.
  • Tools and Frameworks: Get hands-on experience with tools like Python, Jupyter notebooks, scikit-learn, and more.

Who Is This Course For?

This specialization is perfect for:

  • Beginners who are looking to break into machine learning and AI.
  • Data enthusiasts interested in learning how to build predictive models and gain insights from data.
  • Professionals who want to upskill and transition into data science and machine learning roles.

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