Informações sobre o curso
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Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Inglês

Legendas: Inglês

O que você vai aprender

  • Check

    Project structure of interactive Python data applications

  • Check

    Python web server frameworks: (e.g.) Flask, Django, Dash

  • Check

    Best practices around deploying ML models and monitoring performance

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    Deployment scripts, serializing models, APIs

Habilidades que você terá

Python ProgrammingBig Data ProductsRecommender Systems

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
2 horas para concluir

Introduction

Welcome to the first week of Deploying Machine Learning Models! We will go over the syllabus, download all course materials, and get your system up and running for the course. We will also introduce the basics of recommender systems and differentiate it from other types of machine learning

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5 vídeos ((Total 54 mín.)), 3 leituras, 3 testes
5 videos
Recommender Systems versus Other Forms of Supervised Learning7min
Collaborative Filtering-Based Recommendation19min
Latent Factor Models (Part 1)11min
Latent Factor Models (Part 2)11min
3 leituras
Syllabus10min
Course Materials10min
Setting Up Your System10min
3 exercícios práticos
Review: Recommender Systems4min
Review: Introduction to Latent Factor Models4min
Recommender Systems and Latent Factor Models20min
Semana
2
19 minutos para concluir

Implementing Recommender Systems

This week, we will learn how to implement a similarity-based recommender, returning predictions similar to an user's given item. We will cover how to optimize these models based on gradient descent and Jaccard similarity.

...
3 testes
3 exercícios práticos
Review: Similarity-Based Recommenders5min
Review: Implementing Latent Factor Models4min
Implementing Recommender Systems10min
Semana
3
5 minutos para concluir

Deploying Recommender Systems

This week, we will learn about Python web server frameworks and the overall structure of interactive Python data applications. We will also cover some tips for best practices on deploying and monitoring your applications.

...
1 teste
1 exercício prático
Deploying Recommender Systems5min
Semana
4
2 horas para concluir

Project 4: Recommender System

For this final project, you will build a recommender system of your own. Find a dataset, clean it, and create a predictive system from the dataset. This will help prepare you for the upcoming capstone, where you will harness your skills from all courses of this specialization into one single project!

...
2 leituras, 1 teste
2 leituras
Project Description10min
How to Find a Dataset10min

Instrutores

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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
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Julian McAuley

Assistant Professor
Computer Science

Sobre Universidade da Califórnia, San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

Sobre o Programa de cursos integrados Python Data Products for Predictive Analytics

Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego. This Specialization is for learners who are proficient with the basics of Python. You’ll start by creating your first data strategy. You’ll also develop statistical models, devise data-driven workflows, and learn to make meaningful predictions for a wide-range of business and research purposes. Finally, you’ll use design thinking methodology and data science techniques to extract insights from a wide range of data sources. This is your chance to master one of the technology industry’s most in-demand skills. Python Data Products for Predictive Analytics is taught by Professor Ilkay Altintas, Ph.D. and Julian McAuley. Dr. Alintas is a prominent figure in the data science community and the designer of the highly-popular Big Data Specialization on Coursera. She has helped educate hundreds of thousands of learners on how to unlock value from massive datasets....
Python Data Products for Predictive Analytics

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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