Machine Learning And Data Science With Langchain And Llms

Machine Learning And Data Science With Langchain And Llms
Published 9/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Master LangChain & LLMs: Build AI-Powered Data Science Solutions with Machine Learning, NLP, and Data Analysis

What you’ll learn

Understand the fundamentals of Machine Learning and Data Science.

Learn the basics of Large Language Models (LLMs) and their applications.

Gain proficiency in using LangChain for building advanced AI workflows.

Implement data processing and analysis techniques using LangChain.

Develop skills in integrating LLMs into Data Science projects.

Build custom Machine Learning models with LangChain.

Explore how to fine-tune LLMs for specific data science tasks.

Learn to use LangChain for natural language processing (NLP) tasks.

Design and create automated data pipelines using LangChain.

Implement real-world Machine Learning solutions using LLMs and LangChain.

Understand best practices for deploying LLMs in data science projects.

Master techniques for evaluating and optimizing LLM-based models.

Use LangChain to build and deploy AI-driven data science applications.

Apply LLMs to perform complex data analysis and insights extraction.
Gain hands-on experience in using LangChain for end-to-end AI and ML solutions.

Requirements

No experience is required. A bit of Python will come in handy.

Description

Overview

Section 1: Introduction

Lecture 1 Sequence Modeling

Lecture 2 Recurrent Neural Networks

Lecture 3 Elman RNN

Lecture 4 Continuing from Last Lecture

Lecture 5 Classifying Surname Nationality Using a Character RNN

Lecture 6 Vectorization Data Structures

Lecture 7 END-OF-SEQUENCE and SurnameVectorizer

Lecture 8 Continuing from Last Lecture

Lecture 9 Unconditioned SurnameGenerationModel

Lecture 10 Continuing from Last Lecture

Lecture 11 Conditioned SurnameGenerationModel

Lecture 12 Training Routine and Results

Lecture 13 Continuing from Last Lecture

Lecture 14 Machine Translation Dataset

Lecture 15 Vectorization Pipeline for NMT

Lecture 16 Continuing from Last Lecture

Lecture 17 Encoding and Decoding

Lecture 18 NMTDecoder constructs

Professionals looking to enhance their knowledge of LLMs and integrate LangChain into their data science and machine learning projects.,Individuals with a keen interest in natural language processing and AI who want to leverage LangChain for building and deploying LLM-based applications.,Those with a background in programming who are eager to explore how LangChain can be used for creating AI-driven data solutions.,Learners in academia studying AI, machine learning, or data science who wish to understand the latest trends in LLMs and their practical implementations using LangChain.,IT professionals, analysts, or business intelligence specialists looking to pivot into AI and machine learning with a focus on LLMs and data science.