Search result for Data analysis and machine learning Online Courses & Certifications
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Machine Learning
by Andrew NgTop Instructor- 4.9
Approx. 61 hours to complete
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). Data For Machine Learning...
Data Analytics Foundations for Accountancy II
by Robert Brunner- 4.8
Approx. 70 hours to complete
Welcome to Data Analytics Foundations for Accountancy II! I'm excited to have you in the class and look forward to your contributions to the learning community. Module 1: Introduction to Machine Learning Introduction to Machine Learning Module 3: Practical Concepts in Machine Learning Introduction to Practical Machine Learning Machine Learning and Anomaly Detection...
Applied Data Science Capstone
by Joseph Santarcangelo , Alex Aklson- 4.7
Approx. 10 hours to complete
You will learn about location data and different location data providers, such as Foursquare. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. Exploratory Data Analysis (EDA) Exploratory Data Analysis Overview Exploratory Data Analysis using SQL Exploratory Data Analysis...
Applying Machine Learning to your Data with GCP
by Google Cloud Training- 4.7
Approx. 10 hours to complete
In this module, we define what Machine Learning is and how it can benefit your business. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML. Introduction to Machine Learning Introduction to Machine Learning...
Introduction to Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
Approx. 10 hours to complete
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application....
Data Science Interview Prep
by Arpan Chakraborty , Jimmy Lafontaine Rivera- 0.0
Approx. 1 week
Knowing what to expect and practicing are keys to technical interview success. You also need to show how you tackle problems and communicate your thinking. Prepare for data science interviews by practicing data analysis, machine learning, and data structure and algorithms questions....
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Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
Approx. 7 hours to complete
Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls. Challenge statistical modeling assumptions and drive feedback to data analysts Get a glimpse into a day in the life of a data analysis manager. The course will be taught at a conceptual level for active managers of data scientists and statisticians....
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Microsoft Azure Machine Learning
by Microsoft- 4.8
Approx. 11 hours to complete
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence....
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. Machine Learning and Other Fields Learning with Different Data Label...
Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
Approx. 22 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. Data and Code Files Summary of Predictive Modeling and Machine Learning...