Description
Introduction to Machine Learning, an introduction to machine learning course is published by CBTNuggets Academy. This entry-level course in machine learning and artificial intelligence prepares learners to transform vast data sets 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 is up to you to use these insights and skills to solve specific problems in your organization or professional work. Fortunately, the course goes beyond machine learning concepts by providing hands-on opportunities to build models with Sicit-learn, PyTorch, TensorFlow, and even an intensive course in LLM development with OpenAI, LangChain, and HuggingFace. After completing this tutorial, you will be proficient in applying algorithms to uncover hidden data, apply statistical analysis, and generate data-driven predictive results, all using machine learning. For leaders of IT teams, this machine learning course offers amazing value. Ideal for young data scientists interested in machine learning, integrating personalized training sessions, or simply 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 such as gradient descent and backpropagation
- Implementation of classification and regression models to discover patterns in data
- Examining perceptron and neural networks with powerful artificial intelligence modeling concepts
- Practical introduction to PyTorch and TensorFlow model building
- Decoupling Large Language Models (LLM) with ChatGPT, LangChain and HuggingFace
Who is this course suitable for?
- Introduction to Machine Learning Education is presented as an associate’s level data science education, meaning it is designed for young data scientists and aspiring machine learning engineers.
Specifications of Introduction to Machine Learning course
- Publisher: CBTNuggets
- teacher : Jonathan Barrios
- English language
- Education level: all levels
- Number of courses: 420
- Training duration: 48 hours
Introduction to Machine Learning course chapters
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
Installation guide
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Quality: 1080p
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download link
File(s) password: www.downloadly.ir
Size
28.96 GB
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