Search result for How to learn machine learning Online Courses & Certifications
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Build Better Generative Adversarial Networks (GANs)
by Sharon Zhou , Eda Zhou , Eric Zelikman- 4.7
Approx. 29 hours to complete
This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research. Welcome to Course 2 Intro to Machine Bias A Survey on Bias and Fairness in Machine Learning...
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
by Eric Siegel- 4.8
Approx. 14 hours to complete
In order to serve both types, this course goes further than typical machine learning courses, which cover only the technical foundations and core quantitative techniques. – How launching machine learning – aka predictive analytics – improves marketing, financial services, fraud detection, and many other business operations Defending machine learning -- how it does good...
Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
Approx. 7 hours to complete
This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Enrol now to learn the machine learning techniques for working with Big Data that have been successfully applied by companies like Alibaba, Apple, Amazon, Baidu, eBay, IBM, NASA, Samsung, SAP, TripAdvisor, Yahoo!, Zalando and many others....
Data Visualization and D3.js
by Ryan Orban , Chris Saden , Jonathan Dinu- 0.0
Approx. 7 weeks
Learn how to be a great communicator and how to enable readers to walk away from your graphics with insight and understanding. Learn how to represent data values in visual form. lesson 5 Narratives Learn how to incorporate different narrative structures into your visualizations. Learn about bias in the data visualization process and learn how to add context....
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Production Machine Learning Systems
by Google Cloud Training- 4.6
Approx. 8 hours to complete
Welcome to the course How to Send Feedback Adapting to Data Exercise: Adapting to Data Machine Learning on Hybrid Cloud...
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: Types of Machine Learning...
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: Types of Machine Learning...
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Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
Approx. 13 hours to complete
In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems. Introduction to TensorFlow Introduction to Deep Learning Supervised Learning Models Introduction to Convolutional Neural Networks (CNNs) Supervised Learning Models (Cont'd) Unsupervised Deep Learning Models Introduction to Restricted Boltzmann Machines...
AI For Medical Treatment
by Pranav Rajpurkar , Bora Uyumazturk , Amirhossein Kiani , Eddy Shyu- 4.7
Approx. 22 hours to complete
This Specialization will give you practical experience in applying machine learning to concrete problems in medicine. In the second week, you’ll apply machine learning interpretation methods to explain the decision-making of complex machine learning models. Intro to Course 3 with Andrew and Pranav How to refresh your workspace (Optional) Opportunity to Mentor Other Learners...
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
Approx. 34 hours to complete
The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. Learners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. Write to us: coursera@hse. Introduction to optimization Welcome to AML specialization! How to use RNNs...