| 1 - Welcome To the Course.mp4 | 25.6 MB | ||
| 10 - GCP Buckets.mp4 | 31.1 MB | ||
| 11 - Virtually Speaking Virtual Machines VMs.mp4 | 41.9 MB | ||
| 12 - Nuts and Bolts of Google Big Query.mp4 | 37.6 MB | ||
| 13 - Working With Jupyter Notebooks The Vertex Way.mp4 | 46.5 MB | ||
| 14 - Work With JupyterLab.mp4 | 20.8 MB | ||
| 15 - Quick Access.mp4 | 4 MB | ||
| 16 - PreInstall Tensorflow.mp4 | 14.9 MB | ||
| 17 - Access Data From Buckets To JupyetrLab.mp4 | 30.7 MB | ||
| 18 - Start With Google Colaboratory Environment.mp4 | 40.4 MB | ||
| 19 - Google Colabs and GPU.mp4 | 30.2 MB | ||
| 2 - Data and Code.html | 307.2 B | ||
| 20 - Accessing A Single CSV From GCP Buckets Into Colab.mp4 | 37.8 MB | ||
| 21 - Multiple PDFs.mp4 | 31.6 MB | ||
| 22 - Get Access To the OpenAI API.mp4 | 18.6 MB | ||
| 23 - Sign Up For HuggingFace.mp4 | 22.9 MB | ||
| 24 - Introduction to LangChain.mp4 | 36.7 MB | ||
| 25 - Read in a PDF.mp4 | 63.3 MB | ||
| 26 - Read in Multiple PDFs.mp4 | 54.9 MB | ||
| 27 - Basic Text Cleaning.mp4 | 55.1 MB | ||
| 28 - Text Cleaning With NLTK.mp4 | 36 MB | ||
| 29 - NLP.mp4 | 18.6 MB | ||
| 3 - Python Installation.mp4 | 42.6 MB | ||
| 30 - Keyword Extraction.mp4 | 23.1 MB | ||
| 31 - TFIDF.mp4 | 22.9 MB | ||
| 32 - Document Similarity.mp4 | 46.4 MB | ||
| 33 - Text Similarity.mp4 | 45.3 MB | ||
| 34 - Text Similarity With Transformers.mp4 | 27.7 MB | ||
| 35 - Named Entity Recognition NER.mp4 | 64.4 MB | ||
| 36 - Named Entity Linking NEL.mp4 | 19.8 MB | ||
| 37 - LSTM Theory.mp4 | 48.5 MB | ||
| 38 - Preliminary Steps.mp4 | 59.8 MB | ||
| 39 - Text Data Formatting.mp4 | 22.4 MB | ||
| 4 - Installing Packages In Google Colab.mp4 | 28.6 MB | ||
| 40 - Of Encoding and Padding.mp4 | 13.2 MB | ||
| 41 - Building the LSTM Model.mp4 | 75 MB | ||
| 42 - Install DistiBERT.mp4 | 79.3 MB | ||
| 43 - Build a Classification Model.mp4 | 63.4 MB | ||
| 44 - Introduction to Numpy.mp4 | 29.9 MB | ||
| 45 - What Is Pandas.mp4 | 74.9 MB | ||
| 46 - Basic Data Cleaning With Pandas.mp4 | 34.4 MB | ||
| 47 - Dictionary.mp4 | 72.9 MB | ||
| 5 - Where to Start.mp4 | 25 MB | ||
| 6 - Lets Look at the GCP Interface And Accessing the Free Trial.mp4 | 17.1 MB | ||
| 7 - Permissions and Access.mp4 | 16.5 MB | ||
| 8 - Some Components of GCP Machine Learning.mp4 | 17.7 MB | ||
| 9 - GCP and Machine Learning APIs.mp4 | 17.7 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 49 total files | |||
Machine Learning On Google Cloud: Sequence And Text Models
https://FreeCourseWeb.com
Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.65 GB | Duration: 3h 29m
Advanced Machine Learning on Google Cloud: Sequence Models & NLP (Natural Language Processing) on Google Cloud
What you'll learn
Introduction to getting started with Google Cloud Platform (GCP)
Reading in and processing text data within GCP
Implement common natural language processing (NLP) techniques such as entity analysis and keyword detection on text data
Carry out text classification using deep leaning models
Getting started with OpenAI for Large Language Model (LLM) based text analysis
Requirements
Should have prior experience of Python data science
Prior experience of statistical and machine learning techniques will be beneficial
Should have an interest in extracting insights from text analysis
Should have an interest in applying machine learning models on text data
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