Descriptions

Introduction to Machine Learning, 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.

What you’ll learn

• 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

Who this course is for

• The introduction to machine learning training is presented as associate-level data science training, which means it was designed for junior data scientists and aspiring machine learning engineers.

Specificatoin of Introduction to Machine Learning

• Publisher: CBTNuggets
• Teacher: Jonathan Barrios
• Language: English
• Level: All Levels
• Number of Course: 394
• Duration: 44 hours and 50 minutes

Content of Introduction to Machine Learning

Requirements

• 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 Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle: Not Available

Quality: 1080p

Changes:

Version 2024/8 compared to 2024/3 has decreased the number of 26 lessons and the duration of 3 hours and 10 minutes.

Download Links

Download Part 1 – 5 GB

Download Part 2 – 5 GB

Download Part 3 – 5 GB

Download Part 4 – 5 GB

Download Part 5 – 5 GB

Download Part 6 – 2.14 GB

Resources and dataset: Link

Password file(s): www.downloadly.ir

File size

27.1 GB