Search result for Machine learning clustering model Online Courses & Certifications
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Computational Vision
by David Quigley- 0.0
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Approx. 8 hours to complete
Vision by Man and Machine Machine Learning and Neural Networks Deep Learning for Object Recognition Apply various models of human and machine vision and discuss their limitations. Demonstrate the geon model of object recognition and its limitations....
Art and Science of Machine Learning
by Google Cloud Training- 4.6
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Approx. 19 hours to complete
Welcome to the Art and Science of machine learning. You will learn how to generalize your model using Regularization techniques and about the effects of hyperparameters such as batch size and learning rate on model performance. Learning rate and batch size Tune batch size and learning rate for better model performance...
Hands-On Neural Networks: Build Machine Learning Models
by Mammoth Interactive- 4.4
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7 hours on-demand video
Hands-On Neural Networks: Build Machine Learning Models was funded by a #1 project on Kickstarter We will also modify the model so that it output whether a specific transaction is fraudulent or legitimate if we pass them in one by one. Machine Learning Projects Using Tensorflow -- Mammoth Interactive Enroll now in Hands-On Neural Networks: Build Machine Learning Models with Mammoth Interactive...
$9.99
Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
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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...
Customising your models with TensorFlow 2
by Dr Kevin Webster- 4.8
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Approx. 27 hours to complete
In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. [Coding tutorial] Accessing model layers...
Customer lifetime value predictive model with Python
by Datagist INC- 3.6
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5.5 hours on-demand video
A very useful marketing AI model course that enables you to master machine learning and application into business If you wish to start the data analytics career or apply machine learning expertise into business, this is the right course you must choose! The CLV model can be used to predict the probability of customers' repurchase behavior....
$11.99
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot....
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Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
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4 Weeks
Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. The underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines...
$99
Deploy Serverless Machine Learning Models to AWS Lambda
by Milan Pavlović- 4.5
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7.5 hours on-demand video
In this course you will discover a very scalable, cost-effective and quick way of deploying various machine learning models to production by using principles of serverless computing. Although this course doesn't focus much on techniques for training and fine-tuning machine learning models, there will be some examples of training the model in Jupyter Notebook and usage of pre-trained models....
$15.99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
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Approx. 66 hours to complete
These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are also a foundational tool in formulating many machine learning problems. Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional) Model Selection and Train Validation Test Sets...
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