CBT Nuggets – Introduction to Machine Learning
English | Tutorial | Size: 26.36 GB
This entry-level training in machine learning and artificial intelligence prepares learners to convert vast datasets into not only meaningful information but also actionable insights, predictions, and forward-looking trends.
The impact of machine learning on today’s technological 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 harness these insights and skills to solve specific problems in your organization or professional work.
Fortunately, this course goes beyond the concepts of machine learning by offering hands-on opportunities to build models with scikit-learn, PyTorch, TensorFlow, and even a crash course in LLM development with OpenAI, LangChain, and HuggingFace.
Once you complete this Introduction to Machine Learning training, you’ll be adept at employing algorithms to uncover hidden insights, leverage statistical analysis, and generate data-driven predictive outcomes – all by using machine learning.
For leaders of IT teams, this machine learning course offers an amazing transformative value: ideal for new junior data scientists transitioning into machine learning, integrating personalized training sessions, or simply a comprehensive reference for data science, machine learning, and artificial intelligence (AI) concepts and best practices.
Introduction to Machine Learning: What You Need to Know
This machine learning training features videos that cover essential data science, machine learning, and AI topics including:
Exploring machine learning fundamentals and the latest best practices
Making sense of algorithms such as gradient descent and backpropagation
Implementing classification and regression models to uncover patterns in data
Diving into the perceptron and neural networks with powerful AI modeling concepts
Hands-on introduction to PyTorch, and TensorFlow model building
Distilling Large Language Models (LLMs) with ChatGPT, LangChain, and HuggingFace
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