This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing.
ofrecido por
IBMAcerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Turco (Turkish), Inglés (English), Español (Spanish)
Habilidades que obtendrás
Artificial Intelligence (AI)Machine LearningFeature EngineeringStatistical Hypothesis TestingExploratory Data Analysis
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Turco (Turkish), Inglés (English), Español (Spanish)
ofrecido por
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Programa - Qué aprenderás en este curso
1 hora para completar
A Brief History of Modern AI and its Applications
Artificial Intelligence is not new, but it is new in a sense that it is easier than ever to get started using Machine Learning in business settings. In this module we will go over a quick introduction to AI and Machine Learning and we will visit a brief history of modern AI. We will also explore some of the current applications of AI and Machine Learning for you to think about how you want to leverage them in your day to day business practice or personal projects.
1 hora para completar
8 videos (Total 47 minutos), 2 lecturas, 3 cuestionarios
8 videos
Introduction to Artificial Intelligence and Machine Learning5m
Machine Learning and Deep Learning10m
History of AI7m
History of Machine Learning and Deep Learning5m
Modern AI6m
Applications3m
Machine Learning Workflow6m
2 lecturas
Course Prerequisites4m
Summary/Review3m
3 ejercicios de práctica
Check for Understanding5m
Check for Understanding5m
Module 1 Quiz5m
4 horas para completar
Retrieving Data, Exploratory Data Analysis, and Feature Engineering
Good data is the fuel that powers Machine Learning and Artificial Intelligence. In this module you will learn how to retrieve data from different sources, how to clean it to ensure its quality, and how to conduct exploratory analysis to visually confirm it is ready for machine learning modeling.
4 horas para completar
16 videos (Total 148 minutos), 5 lecturas, 5 cuestionarios
16 videos
Demo: Reading Data Demo Jupyter Notebook7m
Lab Solution: Reading in Database Files5m
Data Cleaning6m
Handling Missing Values and Outliers10m
EDA - Part 15m
EDA - Part 212m
Solution: EDA Notebook - Part 15m
Solution: EDA Notebook - Part 210m
Solution: EDA Notebook - Part 36m
Solution: EDA Notebook - Part 48m
Feature Engineering and Variable Transformation - Part 18m
Feature Engineering and Variable Transformation - Part 211m
Solution: Feature Engineering Lab - Part 111m
Solution: Feature Engineering Lab - Part 212m
Solution: Feature Engineering Lab-Part 39m
5 lecturas
Demo: Reading in Database Files (Activity)10m
Lab: Reading in Database Files (Activity)10m
Exploratory Data Analysis Lab (Activity)10m
Feature Engineering Demo (Activity)10m
Summary/Review3m
5 ejercicios de práctica
Check for Understanding5m
Check for Understanding5m
Check for Understanding5m
Check for Understanding5m
Module 2 Quiz5m
3 horas para completar
Inferential Statistics and Hypothesis Testing
Inferential statistics and hypothesis testing are two types of data analysis often overlooked at early stages of analyzing your data. They can give you quick insights about the quality of your data. They also help you confirm business intuition and help you prescribe what to analyze next using Machine Learning. This module looks at useful definitions and simple examples that will help you get started creating hypothesis around your business problem and how to test them.
3 horas para completar
10 videos (Total 83 minutos), 2 lecturas, 4 cuestionarios
10 videos
Estimation and Inference - Part 210m
Estimation and Inference - Part 35m
Hypothesis Testing8m
Type 1 vs Type 2 Error9m
Significance Level and P-Values - Part 17m
Significance Level and P-Values - Part 25m
Hypothesis Testing Demo - Part 15m
Hypothesis Testing Demo - Part 210m
Correlation vs Causation9m
2 lecturas
Hypothesis Testing Demo (Activity)10m
Summary/Review3m
3 ejercicios de práctica
Check for Understanding5m
Check for Understanding5m
Module 3 Quiz5m
Reseñas
Principales reseñas sobre EXPLORATORY DATA ANALYSIS FOR MACHINE LEARNING
por DS30 de nov. de 2020
The only reason that I do not give it 5 stars is because the website of coursera is not good enough to handle the peer review assignments at the end of the course.
por AM17 de dic. de 2020
Good introduction. The time estimates to complete assignments are off. Need a lot more material and direction for assignments to aid learning.
por AC30 de sep. de 2020
It is a really insightful and interactive learning experience. Furthermore, the trainers and coaches were very knowledgable.
por AF6 de nov. de 2020
Great course and very well structured. I'm really impressed with the instructor who give thorough walkthrough to the code.
Preguntas Frecuentes
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