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Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Deep Learning Deep Learning and Transfer Learning Limitations of Q Learning, and Introduction to Deep Q Learning Deep Q Learning Based on Images Connecting Deep Q Learning with Conventional Q Learning...
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
Approx. 12 hours to complete
This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. Supervised Machine Learning Approaches: Regression and the "No Free Lunch" Theorem Introduction to Deep Learning and Neural Networks Deep Learning and Neural Networks Learn important approaches for leveraging data to train, validate, and test machine learning models....
Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
by Kimberly Karalekas- 0.0
Approx. 5 hours to complete
The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of deploying inference on a range of compute devices. Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications Course 1 Quiz Course 2 Quiz...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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. This course targets aspiring data scientists interested in acquiring hands-on experience with Deep Learning and Reinforcement Learning. Regularization Techniques for Deep Learning Deep Learning Applications and Reinforcement Learning Additional Topics in Deep Learning...
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
Approx. 11 hours to complete
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. Deep Learning and Survival Analysis Forecasts Deep Learning - Part 1 Deep Learning - Part 2 Deep Learning - Part 3 Deep Learning Notebook - Part 1 Deep Learning Notebook - Part 2...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
Approx. 34 hours to complete
The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. Key Concepts in Machine Learning Python Tools for Machine Learning Deep Learning (Optional) Deep Learning in a Nutshell: Core Concepts (optional) Assisting Pathologists in Detecting Cancer with Deep Learning (optional)...
Master Machine Learning , Deep Learning with Python
by Vishal Kumar Singh- 4
5 hours on-demand video
Complete course covering fundamentals of Machine learning , Deep learning with Python code The same holds for machine learning concepts. Enrol in the machine learning course and see for yourself that mastering machine learning can be simplified. Deep Learning - Weights, Bias, Epochs, Gradient Descent,Batch, Stochastic Gradient Descent , Mini Batch...
$12.99
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Getting started with TensorFlow 2
by Dr Kevin Webster- 4.9
Approx. 26 hours to complete
Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models....
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
Approx. 18 hours to complete
You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. Deep Learning Demo: Deep Learning Sentiment Prediction Using the R API Demo: Deep Learning Sentiment Prediction Using the Python API Deep Learning Quiz Demo: Deep Learning Forecasting Using the R API...
Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
7.5 hours on-demand video
This course explains the most important Unsupervised Learning algorithms using real-world examples of business applications in Python code. By the end of the course, you’ll apply clustering and dimensionality reduction in Deep Learning using Python as well as Master Unsupervised Learning to solve real-world problems! He has also used natural language and deep learning for image recognition....
$12.99