Machine Learning on Google Cloud: Sequence and Text Models

سرفصل های دوره

Advanced Machine Learning on Google Cloud: Sequence Models & NLP (Natural Language Processing) on Google Cloud

1 - Introduction To the Course

1 - Welcome To the Course

2 - Data and Code.html

3 - Python Installation

4 - Installing Packages In Google Colab

2 - An Overview of Google Cloud Platform GCP

5 - Where to Start

6 - Lets Look at the GCP Interface And Accessing the Free Trial

7 - Permissions and Access

8 - Some Components of GCP Machine Learning

9 - GCP and Machine Learning APIs

10 - GCP Buckets

11 - Virtually Speaking Virtual Machines VMs

12 - Nuts and Bolts of Google Big Query

3 - PythonJupyter Notebooks and GCP

13 - Working With Jupyter Notebooks The Vertex Way

14 - Work With JupyterLab

15 - Quick Access

16 - PreInstall Tensorflow

17 - Access Data From Buckets To JupyetrLab

18 - Start With Google Colaboratory Environment

19 - Google Colabs and GPU

20 - Accessing A Single CSV From GCP Buckets Into Colab

21 - Multiple PDFs

4 - Set Up Your Text Modelling Environment

22 - Get Access To the OpenAI API

23 - Sign Up For HuggingFace

24 - Introduction to LangChain

5 - Text Data Ingestion and PreProcessing

25 - Read in a PDF

26 - Read in Multiple PDFs

27 - Basic Text Cleaning

28 - Text Cleaning With NLTK

6 - Natural Language Processing NLP Analysis

29 - NLP

30 - Keyword Extraction

31 - TFIDF

32 - Document Similarity

33 - Text Similarity

34 - Text Similarity With Transformers

35 - Named Entity Recognition NER

36 - Named Entity Linking NEL

7 - Text Classification

37 - LSTM Theory

38 - Preliminary Steps

39 - Text Data Formatting

40 - Of Encoding and Padding

41 - Building the LSTM Model

42 - Install DistiBERT

43 - Build a Classification Model

8 - Miscellaneous Lectures

44 - Introduction to Numpy

45 - What Is Pandas

46 - Basic Data Cleaning With Pandas

47 - Dictionary

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تولید کننده: Udemy