Supervised Learning

Machine Learning Mini-Degree

25/09/201907/12/2018 by Courtney Williams

Master Machine Learning with Python and Tensorflow. Craft Advanced Artificial Neural Networks and Build Your Cutting-Edge AI Portfolio. The Machine Learning Mini-Degree is an on-demand learning curriculum composed of 6 professional-grade courses geared towards teaching you how to solve real-world problems and build innovative projects using Machine Learning and Python. Learn and understand the fundamentals necessary to build the next … Read moreMachine Learning Mini-Degree

The Complete Programming and Full-Stack Bundle – 20 Course Smart Curriculum

25/09/201923/11/2018 by Courtney Williams

?? Go from beginner to full-stack developer! The Complete Programming and Full-Stack Bundle is the world’s most effective way to go from beginner to professional coder. Whether your goal is to advance your career, start your own business or expand your existing skill-set, our 20-course Smart Curriculum has something in store for you. This bundle is suitable both … Read moreThe Complete Programming and Full-Stack Bundle – 20 Course Smart Curriculum

An Introduction to AI

16/12/201910/04/2018 by Courtney Williams

You can access the full course here: The Complete Artificial Neural Networks Developer Course Why do we even have artificial intelligence? Computers are really dumb machines! When we write code and programs, we give the computer a very explicit set of instructions that it isn’t allowed to deviate from. Inside of our program, we must … Read moreAn Introduction to AI

Free E-book – Deep Learning with Python for Human Beings

25/09/201927/03/2018 by Courtney Williams

We are excited to announce that we have just released a comprehensive new intermediate-level eBook on Machine Learning! Written by computer science researcher Mohit Deshpande, this eBook is guaranteed to give you that more advanced outlook in this exciting field. The concepts covered in this book build on top of our previous entry-level Machine Learning … Read moreFree E-book – Deep Learning with Python for Human Beings

Free Ebook – Machine Learning For Human Beings

25/09/201903/01/2018 by Pablo Farias Navarro

We are excited to announce the launch of our free ebook Machine Learning for Human Beings, authored by researcher in the field of computer vision and machine learning Mohit Deshpande, in collaboration with Pablo Farias Navarro, founder of Zenva. In over 100 pages you will learn the basics of Machine Learning – text classification, clustering and even face recognition … Read moreFree Ebook – Machine Learning For Human Beings

Supervised Learning – Using Decision Trees to Classify Data

25/09/201927/11/2017 by Mohit Deshpande

One challenge of neural or deep architectures is that it is difficult to determine what exactly is going on in the machine learning algorithm that makes a classifier decide how to classify inputs. This is a huge problem in deep learning: we can get fantastic classification accuracies, but we don’t really know what criteria a … Read moreSupervised Learning – Using Decision Trees to Classify Data

Advanced Recurrent Neural Networks

25/09/201925/11/2017 by Mohit Deshpande

Recurrent Neural Networks (RNNs) are used in all of the state-of-the-art language modeling tasks such as machine translation, document detection, sentiment analysis, and information extraction. Previously, we’ve only discussed the plain, vanilla recurrent neural network. We’ll be discussing state-of-the-art models that are used by companies like Google, Amazon, and Microsoft for language tasks. We’ll first … Read moreAdvanced Recurrent Neural Networks

Understanding Advanced Convolutional Neural Networks

25/09/201922/11/2017 by Mohit Deshpande

Convolutional Neural Networks (CNNs) are used in all of the state-of-the-art vision tasks such as image classification, object detection and localization, and segmentation. Previously, we’ve only discussed the LeNet-5 architecture, but that hasn’t been used in practice for decades! We’ll discuss some more modern and complicated architectures such as GoogLeNet, ResNet, and DenseNet. These are … Read moreUnderstanding Advanced Convolutional Neural Networks

Classification with Support Vector Machines

25/09/201905/11/2017 by Mohit Deshpande

One of the most widely-used and robust classifiers is the support vector machine. Not only can it efficiently classify linear decision boundaries, but it can also classify non-linear boundaries and solve linearly inseparable problems. We’ll be discussing the inner workings of this classification jack-of-all-trades. We first have to review the perceptron so we can talk … Read moreClassification with Support Vector Machines

Recurrent Neural Networks for Language Modeling

25/09/201901/11/2017 by Mohit Deshpande

Many neural network models, such as plain artificial neural networks or convolutional neural networks, perform really well on a wide range of data sets. They’re being used in mathematics, physics, medicine, biology, zoology, finance, and many other fields. However, there is one major flaw: they require fixed-size inputs! The inputs to a plain neural network … Read moreRecurrent Neural Networks for Language Modeling

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