Search result for How-to-learn-machine-learning Online Courses & Certifications
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How Entrepreneurs in Emerging Markets can master the Blockchain Technology
by Co-Pierre Georg- 4.5
Approx. 10 hours to complete
In this course, you will gain a thorough understanding of the blockchain and distributed ledger technologies, including an introduction to the necessary foundations in cryptography. You will learn about the three major types of AI algorithms: supervised and unsupervised machine learning, as well as reinforcement learning. How Entrepreneurs in Emerging Markets can master the Blockchain Technology Machine learning...
Teaching Impacts of Technology: Data Collection, Use, and Privacy
by Beth Simon- 4.6
Approx. 13 hours to complete
In the pedagogy section for this course, in which best practices for teaching computing concepts are explored, you’ll learn how to apply Bloom’s taxonomy to create meaningful CS learning objectives, the importance of retrieval-based learning, to build learning activities with online simulators, and how to use “fun” books to teach computing....
Sample-based Learning Methods
by Martha White , Adam White- 4.7
Approx. 22 hours to complete
Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. We will wrap up this course investigating how we can get the best of both worlds: algorithms that can combine model-based planning (similar to dynamic programming) and temporal difference updates to radically accelerate learning....
Google Cloud Fundamentals for AWS Professionals
by Google Cloud Training- 4.7
Approx. 13 hours to complete
If you prefer to learn fast by doing, this course is for you. How to download course resources How typical approaches to load-balancing in Google Cloud differ from those in AWS Introduction to Big Data and Machine Learning Google Cloud Machine Learning Platform Machine learning APIs Big Data and Machine Learning...
Blended Learning: Personalizing Education for Students
by Brian Greenberg , Rob Schwartz , Michael Horn- 4.8
Approx. 9 hours to complete
If you are interested in learning more about how to best leverage technology in education and rethink the way we run schools, join this MOOC and encourage your colleagues to do the same. Become a part of this growing movement and learn first-hand how blended learning can help provide students a more personalized learning experience....
Google Cloud Fundamentals for Azure Professionals: Core Infrastructure
by Google Cloud Training- 4.6
Approx. 14 hours to complete
How Google Cloud differs from Azure: Regions and Zones How to download course resources How typical approaches to load-balancing in Google Cloud differ from those in Azure Big Data and Machine Learning in the Cloud Introduction to Big Data and Machine Learning Google Cloud Machine Learning Platform Machine learning APIs Big Data and Machine Learning...
Introduction to TensorFlow
by Google Cloud Training- 4.4
Approx. 19 hours to complete
x and Keras to build, train, and deploy machine learning models. We will introduce you to the Keras Sequential API and the Keras Functional API to show you how to create deep learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform....
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Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied to time series data....
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
Approx. 8 hours to complete
In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. Week 1: Supervised Learning & Regression Introduction to Supervised Learning Review: Supervised Learning Supervised Learning & Regression Introduction to Support Vector Machines Introduction to Training and Testing Where to Find Datasets...
Deploying Machine Learning Models
by Ilkay Altintas , Julian McAuley- 3.5
Approx. 11 hours to complete
In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e. Review: Introduction to Latent Factor Models How to Find a Dataset...