Search result for Supervised and unsupervised learning Online Courses & Certifications
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Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
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3 months
Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms in TensorFlow and scikit-learn. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms in PyTorch and scikit-learn. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
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Approx. 4 months
lesson 1 Supervised Learning Machine Learning is the ROX Decision Trees Regression and Classification Neural Networks Instance-Based Learning Ensemble B&B Kernel Methods and Support Vector Machines (SVM)s Computational Learning Theory VC Dimensions Bayesian Learning Bayesian Inference lesson 2 Unsupervised Learning Randomized optimization Clustering Feature Selection Feature Transformation Information Theory lesson 3 Reinforcement Learning Markov Decision Processes Reinforcement Learning Game Theory...
Free
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
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5 Weeks
This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. The difference between the two main types of machine learning methods: supervised and unsupervised Supervised learning algorithms, including classification and regression Unsupervised learning algorithms, including Clustering and Dimensionality Reduction...
$99
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
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5 Weeks
This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. The difference between the two main types of machine learning methods: supervised and unsupervised Supervised learning algorithms, including classification and regression Unsupervised learning algorithms, including Clustering and Dimensionality Reduction...
$99
Practical Machine Learning with Python
by Arunachala Damodar- 4.6
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12.5 hours on-demand video
Python, Numpy, Pandas, Matplotlib, Seaborn, Statistics And Machine Learning (both Supervised and Unsupervised Learning) This course is about Machine Learning with Python. You will learn Python Programming, Numpy, Pandas, Matplotlib, Seaborn and Sklearn packages, Statistics and Machine Learning step by step practically. Python programming, Packages, Statistics, Data Visualization, Supervised Learning and Unsupervsed Learning, etc....
$12.99
TensorFlow and the Google Cloud ML Engine for Deep Learning
by Loony Corn- 4.3
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17.5 hours on-demand video
CNNs, RNNs and other neural networks for unsupervised and supervised deep learning TensorFlow is quickly becoming the technology of choice for deep learning, because of how easy TF makes it to build powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction....
$12.99
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Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
Introduction to AI, Machine Learning and Data Science 2021
by Pradeep D- 3.8
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32 mins on-demand video
Introductory Course for Beginners to AI, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised ML Welcome to the most comprehensive Introduction to AI, Machine Learning and Data Science course! An excellent choice for beginners and professionals looking to expand their knowledge on Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised Learning....
$14.99
Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
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Approx. 13 hours to complete
The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. x and Eager Execution Introduction to Deep Learning Supervised Learning Models Supervised Learning Models (Cont'd) Unsupervised Deep Learning Models Unsupervised Deep Learning Models (Cont'd) and scaling...
