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Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
Approx. 8 hours to complete
This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? Introduction to Deep Learning Introduction to Neural Networks and Deep Learning Keras and Deep Learning Libraries...
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
Approx. 34 hours to complete
The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image....
Getting Started with AWS Machine Learning
by Blaine SundrudTop Instructor- 4.5
Approx. 9 hours to complete
Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. What is Deep Learning? Machine Learning Algorithms Explained Machine Learning Pipeline The Machine Learning Process Sneak peek into AWS DeepLens - The world’s first deep learning enabled video camera for developers....
AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
Approx. 31 hours to complete
The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently. Module 2: Machine Learning on AWS AWS Deep Learning AMIs AWS Deep Learning AMIs: Demonstration AWS Deep Learning Containers AWS Deep Learning Containers: Demonstration...
Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
Approx. 23 hours to complete
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. Introduction to Deep Learning...
Practical Machine Learning on H2O
by Darren Cook- 4.5
Approx. 24 hours to complete
Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms....
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. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare. Introduction to Deep Learning and Neural Networks...
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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. Introduction to Course and Reinforcement Learning TD Learning Q Learning Benefits of Reinforcement Learning in Your Trading Strategy Idiosyncrasies and challenges of data driven learning in electronic trading...
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. The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning. Deep Learning and Survival Analysis Forecasts Deep Learning - Part 1 Deep Learning - 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)...