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Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
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Approx. 12 hours to complete
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. Learn important approaches for leveraging data to train, validate, and test machine learning models....
Statistical Learning
by Trevor Hastie , Robert Tibshirani- 0.0
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9 Weeks
Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical). Overview of statistical learning Support vector machines Unsupervised learning...
$149
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
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Approx. 22 hours to complete
There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Ultimately, this course concludes the technical exploration of the various machine learning algorithms and how they can be used to build problem-solving models. Ensemble Learning...
Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
by Rajeev D. Ratan- 4.4
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14 hours on-demand video
Become a Pro at Deep Learning Computer Vision! Includes 20+ Real World Projects Advanced Deep Learning Computer Vision Techniques such as Transfer Learning and using pre-trained models (VGG, MobileNet, InceptionV3, ResNet50) on ImageNet and re-create popular CNNs such as AlexNet, LeNet, VGG and U-Net. How to use the Python library Keras to build complex Deep Learning Networks (using Tensorflow backend)...
$19.99
Coping with Changes: Social-Emotional Learning Through Play
by Ole Kjær Thomasen , Paul St John Frisoli , Mette Hauch- 0.0
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9
Learn how to provide playful and engaging social emotional learning (SEL) support to children affected by COVID-19 disruption. •Foundations of Learning through Play•Importance of MHPSS / SEL in Crisis•Adult Wellbeing•Age sensitive SEL knowledge and activities•Coping with Changes and Transitions...
Free
Support Vector Machines in Python: SVM Concepts & Code
by Start-Tech Academy- 4.3
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6 hours on-demand video
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines....
$12.99
SVM for Beginners: Support Vector Machines in R Studio
by Start-Tech Academy- 4.6
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5 hours on-demand video
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines....
$11.99
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Lazy Trading Part 6: Detect Market status with AI
by Vladimir Zhbanko- 4.5
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3.5 hours on-demand video
Learn to use Supervised Deep Learning modelling to detect patterns of Financial Assets Manipulate data and learn to build Classification Deep Learning Models Learn and practice to use Decision Support System Learn using R to read, manipulate data and perform Machine Learning including Deep Learning Prepare Time-Series data for Deep Learning Tasks Detect Market Status of Financial Assets using Deep Learning...
$12.99
人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
by 于天立- 4.6
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Approx. 12 hours to complete
1-1 Brief Introduction to Machine Learning, Learning from Example 1-6 Biased and Unbiased Hypothesis Space, Futility of Bias-Free Learning Computational Learning Theory 2-1 Introduction to Computational Learning Theory, Setting of Sample Complexity 3-2 Learning Decision Tree, Information 3-6 Support Vector Machine: Optimization, Soft Margins, and Kernel Trick Neural Network and Deep learning...
The Museum as a Site and Source for Learning
by Margaret Jago , Diana Morton , Alicia Watson , Anne Wallace- 0.0
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What museums know about their visitors and how they find outApproaches to learning: young visitors and visitors with additional needsWays in which social media can support learningHow to design and interpret a contemporary art exhibitionWhy contemporary art can prove challenging to engage with/ understand and to teach?...
Free
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