Search result for How-to-learn-machine-learning Online Courses & Certifications
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Mandarin Chinese for Intermediate Learners: Part 1
by An Na , Wang Jun , 叶军- 4.8
Approx. 17 hours to complete
Before you start learning lesson 1 How well do you learn?...
Configuring Linux Web Servers
by Michael Wales- 0.0
Approx. 1 weeks
A basic understanding of linux systems administration is required to not only get your web application up and running for the world to see, but also to ensure it continues operating efficiently. Learn how the filesystem is organized and identify key files. Learn how to implement even stronger authentication mechanisms and how to interpret Linux file permissions....
Free
Uncommon Sense Teaching
by Barbara OakleyTop Instructor , Beth Rogowsky , Dr. Terrence SejnowskiTop Instructor- 4.8
Approx. 15 hours to complete
You’ll discover how to bring out the best from all your students in today’s diverse teaching environment, where students often have a wide range of abilities. 3: How Students Fool Themselves into Thinking They’re Learning 1: Introduction to the Declarative Learning System (Hip Hip, Hooray!) 5: Introduction to Procedural Learning Insight from Evolution on How Modern Humans Learn...
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
Approx. 22 hours to complete
This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems. Welcome to Machine Learning With Big Data Introduction to Machine Learning with Big Data...
Deep Learning for Business
by Jong-Moon Chung- 4.4
Approx. 8 hours to complete
So now is the right time to learn what DL and ML is and how to use it in advantage of your company. Business with Deep Learning & Machine Learning 1 Business Considerations in the Machine Learning Era 2 Business Strategy with Machine Learning & Deep Learning 1 What is Deep Learning & Machine Learning?...
Scalable Microservices with Kubernetes
by Carter Morgan , Kelsey Hightower , Gundega Dekena- 0.0
Approx. 1 months
This course is designed to teach you about managing microservices, using Kubernetes. lesson 1 Introduction to Microservices Learn how 12-factor apps and the microservices design pattern make modern applications easier to deploy and maintain. See how Kubernetes allows you to focus on the big picture....
Free
Machine Learning Foundations: A Case Study Approach
by Emily Fox , Carlos Guestrin- 4.6
Approx. 18 hours to complete
Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. -Represent your data as features to serve as input to machine learning models....
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Deep Learning
by Mat Leonard , Luis Serrano , Cezanne Camacho , Alexis Cook , Jennifer Staab , Sean Carrell , Ortal Arel , Jay Alammar- 0.0
4 months
You will build projects in Keras and NumPy, in addition to TensorFlow PyTorch. Become an expert in neural networks, and learn to implement them using the deep learning framework PyTorch. Build convolutional networks for image recognition, recurrent networks for sequence generation, generative adversarial networks for image generation, and learn how to deploy models accessible from a website....
Population Health: Governance
by Jelmer Schalk , Maarja Beerkens- 0.0
Approx. 14 hours to complete
How can we organise care in such a way that we optimize experience, quality and costs? And how should healthcare organisations collaborate? Welcome to Population Health: Governance How to succeed in your online class? What is your learning path? The Shift in healthcare policy making: from government to governance Reflect on learning goals...
Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
Approx. 24 hours to complete
Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. Machine learning in particle identification Search for Dark Matter Hints with Machine Learning at new CERN experiment...