TOP 6 Advance Artificial Intelligence and Machine Learning E-Degree Programs

Source: Deep Learning on Medium

TOP 6 Advance Artificial Intelligence and Machine Learning E-Degree Programs

TOP 6 Advance Artificial Intelligence and Machine Learning E-Degree Programs on Eduonix Learning Solutions. Master advanced concepts of AI and Machine Learning such as Deep learning, Neural Networks, TensorFlow, NLP and more with this online Degree program. A complete learning program having set of hand-picked courses which will help you to master all the advanced AI concepts such as Deep learning, Neural Networks, Reinforcement Learning, Computer Vision and NLP. ENROLL NOW and Become Advanced Artificial Intelligence & Machine Learning with E-Degree Program

Artificial Intelligence is here to stay and in fact, it is growing exponentially. It not just allows machines to learn but brings hundreds of possibilities to modern businesses. From self-driving cars to job automation to diagnosing illness, everywhere AI & ML is changing the way humanity works.

But as AI progresses, the more complex it becomes; and here’s where things get really crazy. Already there is a significant gap in the availability of quality resources and good skills. Furthermore, with advanced AI, these gaps get more widened. All of these results in massive opportunities for people having quality skill sets.

In order to achieve this & solve complex AI problem, we bring you this Advance Artificial Intelligence and Machine Learning E-Degree

TOP 6 Advance Artificial Intelligence and Machine Learning E-Degree Programs You Must to Learn in 2020

1. Introduction to Deep Learning

Learn machine learning concepts like supervising learning, unsupervised learning, reinforced learning, neural networks & so on in this machine learning tutorial. Master machine learning algorithms with Tensorflow such as supervised learning, unsupervised learning, and neural networks.

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2. Deep Neural Networks & CNN

Understanding Neural Networks. From neuron to RNN, CNN With various variants like CNN (Convolutional Neural Networks), RNN(Recurrent Neural Networks), AutoEncoders, Deep Learning etc. When you first heard of the term convolutional neural networks, you may have … The first layer in a CNN is always a Convolutional Layer.

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3. Natural Language Processing

Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

Natural Language Processing, usually shortened as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable.

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4. Practical TensorFlow

Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision.

This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. Build image recognition algorithms with deep neural networks and convolutional neural networks. The Machine Learning course and Deep Learning Specialization.

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5. Reinforcement Learning

Reinforcement learning (RL) is an area of machine learning concerned with how software agents ought to take actions in an environment in order to maximize some notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning.

Reinforcement learning is the training of machine learning models to make a sequence of decisions. The agent learns to achieve a goal in an uncertain, potentially complex environment. In reinforcement learning, an artificial intelligence faces a game-like situation.

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6. Fundamentals of Computer Vision

Fundamentals of Computer Vision. Covers the basic topics of computer vision, and introduces some fundamental approaches for computer vision research. Covers the basic topics of computer vision, and introduces some fundamental approaches for computer vision research.This course provides an introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, and computer vision

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GET TOP 6 Advanced Artificial Intelligence and Machine Learning E-Degree Programs

Included: 6 Courses with 8+ Projects and 120+ Lectures plus 30+ Hrs Video Exams and Certificate

Instructors : Eduonix Learning Solutions

Benefits of Advance Artificial Intelligence and Machine Learning E-Degree Programs

As the name suggests, this E-Degree will provide you the knowledge of advanced AI & ML concepts. Since our last Kickstarter campaign on AI & ML E-Degree which surpassed the funding goal with over 2700%, lots of requests have been made for more advanced topics of AI & ML. To meet all the demands and to make our students future-ready, we are creating this special E-Degree on Advanced AI & ML. It will not just be an ordinary program but a complete journey for you to learn all the latest and the advanced concepts of AI & ML such as TensorFlow, Deep Learning, Deep Neural Network, CNN, Reinforcement Learning & others. You’ll get the following benefits in this E-degree: Structured Tutorials, Practical projects, Hands-on coding experience, Course Support

All the concepts will be presented to you in a well-organized structure by the industry experts from all over the world for a better understanding and real-life applications.