Master LangChain & LLMs for Data Science 2024
Focused View
2:22:02
1 -Sequence Modeling.mp4
04:17
2 -Recurrent Neural Networks.mp4
04:58
3 -Elman RNN.mp4
04:55
4 -Continuing from Last Lecture.mp4
11:56
5 -Classifying Surname Nationality Using a Character RNN.mp4
09:09
6 -Vectorization Data Structures.mp4
10:41
7 -END-OF-SEQUENCE and SurnameVectorizer.mp4
03:12
8 -Continuing from Last Lecture.mp4
14:57
9 -Unconditioned SurnameGenerationModel.mp4
06:03
10 -Continuing from Last Lecture.mp4
14:23
11 -Conditioned SurnameGenerationModel.mp4
06:00
12 -Training Routine and Results.mp4
11:11
13 -Continuing from Last Lecture.mp4
11:55
14 -Machine Translation Dataset.mp4
04:16
15 -Vectorization Pipeline for NMT.mp4
06:57
16 -Continuing from Last Lecture.mp4
07:01
17 -Encoding and Decoding.mp4
05:56
18 -NMTDecoder constructs.mp4
04:15
More details
Course Overview
This comprehensive course teaches you how to leverage LangChain and Large Language Models (LLMs) for cutting-edge Machine Learning and Data Science applications. Gain hands-on experience with the latest AI tools in just 8522 seconds of focused learning.
What You'll Learn
- Integrate LangChain with modern LLMs for data analysis
- Build AI-powered data science workflows
- Optimize ML models using LLM capabilities
Who This Is For
- Data scientists looking to upgrade their AI skills
- ML engineers exploring LLM applications
- Developers transitioning into AI/ML fields
Key Benefits
- Practical skills for immediate implementation
- Cutting-edge LLM techniques explained simply
- Time-efficient learning format
Curriculum Highlights
- LangChain fundamentals for data science
- LLM integration patterns
- Real-world ML project implementation
Focused display
- language english
- Training sessions 18
- duration 2:22:02
- Release Date 2025/04/19
