Description
Introduction to Machine Learning is a course published by CBTNuggets Academy. This entry-level training in machine learning and artificial intelligence prepares learners to transform vast datasets not only into meaningful information but also into actionable insights, predictions, and forward-looking trends. The impact of machine learning on today’s technology landscape is simply immeasurable. This course serves as an introduction to the groundbreaking power of machine learning and aims to illuminate the exciting possibilities of solving real-world problems with machine learning. It’s up to you to apply these insights and skills to solve specific problems in your organization or professional work. Fortunately, this course goes beyond machine learning concepts, offering hands-on opportunities to build models with Sicit-learn, PyTorch, TensorFlow, and even a crash course in LLM development with OpenAI, LangChain, and HuggingFace. After completing this course, you will be proficient in applying algorithms to uncover hidden information, apply statistical analysis, and generate predictive results based on data, all using machine learning. For IT team leaders, this machine learning course offers incredible value. Ideal for junior data scientists looking to learn machine learning, integrate personalized training sessions, or simply as a comprehensive reference for data science, machine learning, and artificial intelligence (AI).
What you will learn
- Explore machine learning principles and the latest best practices
- Making sense of algorithms like gradient descent and backpropagation
- Implement classification and regression models to discover patterns in data.
- Exploring perceptron and neural networks with powerful artificial intelligence modeling concepts
- A practical introduction to PyTorch and TensorFlow model building
- Disaggregating Large Language Models (LLM) with ChatGPT, LangChain, and HuggingFace
Who is this course suitable for?
- Introduction to Machine Learning training is presented as an associate-level data science training, meaning it is designed for young data scientists and aspiring machine learning engineers.
Introduction to Machine Learning course specifications
- Publisher: CBTNuggets
- Instructor: Jonathan Barrios
- Language: English
- Education level: All levels
- Number of lessons: 394
- Training duration: 44 hours and 50 minutes
Introduction to Machine Learning course topics
Course prerequisites
- This machine learning skills course offers significant value to both emerging IT professionals with at least a year of experience and seasoned data scientists looking to validate their data science skills in an ever advancing field.
Pictures
Sample video
Video display
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Changes:
The 2024/8 version has a reduction of 26 lessons and a duration of 3 hours and 10 minutes compared to 2024/3.
File size
27.1 GB
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