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The Deep Learning Training at IT Guru will provide you the best knowledge on deep learning fundamentals, neural networks, natural language processing, etc with live experts. Learning Online Deep learning makes you a master in this subject that includes building blocks, implementing neural networks, programming languages & tools, etc. Our best Deep learning Course module will provide you a way to become certified in Deep learning. So, join hands with ITGuru for accepting new challenges and make the best solutions through Advanced Deep learning. The Online Deep learning Training basics and other features will make you an expert in the Deep learning algorithms, etc to deal with real-time tasks.


Tao Of ML: Interview With Kaggle Master Oleg Yaroshevskiy

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"Whenever you compete, you have to accept simple rules – someone wins, someone loses, and usually the winner takes it all." For this week's ML practitioner's series, Analytics India Magazine got in touch with Oleg Yaroshevskiy from Ukraine. In this interview, he shares his experiences from his journey to the top 20 in one of the toughest data science competitions in the world. Oleg majored in maths and statistics from Cybernetics Faculty of Taras Shevchenko National University of Kyiv, which was co-founded by Victor Glushkov, one of the cybernetics pioneers who played a key role in the advancement of theoretical computer science, including artificial intelligence. Oleg had a formal introduction to machine learning (ML) during his graduation days where he had studied neural networks along with the popular Andrew NG's course on Coursera back in 2013.


Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

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Deep Learning Prerequisites: The Numpy Stack in Python (V2+), Preview this course The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence BESTSELLER Created by Lazy Programmer Inc.  English [Auto-generated] Free Coupon Dicount Online Courses Udemy


Deployment of Machine Learning Models

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Online Courses Udemy - Deployment of Machine Learning Models Build Machine Learning Model APIs Created by Soledad Galli, Christopher Samiullah English [Auto] Students also bought Data Science: Natural Language Processing (NLP) in Python Recommender Systems and Deep Learning in Python Artificial Intelligence: Reinforcement Learning in Python Unsupervised Machine Learning Hidden Markov Models in Python Deep Learning: Recurrent Neural Networks in Python Preview this course GET COUPON CODE Description Learn how to put your machine learning models into production. Deployment of machine learning models, or simply, putting models into production, means making your models available to your other business systems. By deploying models, other systems can send data to them and get their predictions, which are in turn populated back into the company systems. Through machine learning model deployment, you and your business can begin to take full advantage of the model you built. When we think about data science, we think about how to build machine learning models, we think about which algorithm will be more predictive, how to engineer our features and which variables to use to make the models more accurate.


Artificial Intelligence Masterclass

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Online Courses Udemy Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL & AI models Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team English, Italian [Auto-generated] Students also bought Artificial Intelligence: Reinforcement Learning in Python Machine Learning and AI: Support Vector Machines in Python Advanced AI: Deep Reinforcement Learning in Python Ensemble Machine Learning in Python: Random Forest, AdaBoost Deep Learning: Advanced Computer Vision (GANs, SSD, More!) Preview this course GET COUPON CODE Description Today, we are bringing you the king of our AI courses...: The Artificial Intelligence MASTERCLASS Are you keen on Artificial Intelligence? Do want to learn to build the most powerful AI model developed so far and even play against it? Sounds tempting right... Then Artificial Intelligence Masterclass course is the right choice for you. This ultimate AI toolbox is all you need to nail it down with ease. You will get 10 hours step by step guide and the full roadmap which will help you build your own Hybrid AI Model from scratch.


Deep Learning Prerequisites: Logistic Regression in Python

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Online Courses Udemy | Deep Learning Prerequisites: Logistic Regression in Python Data science techniques for professionals and students - learn the theory behind logistic regression and code in Python BESTSELLER Created by Lazy Programmer Inc.  English [Auto-generated], Portuguese [Auto-generated], 1 more Students also bought Natural Language Processing with Deep Learning in Python Data Science: Natural Language Processing (NLP) in Python Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) Unsupervised Machine Learning Hidden Markov Models in Python Modern Deep Learning in Python Preview this course GET COUPON CODE 100% Off Udemy Coupon . Free Udemy Courses . Online Classes


Complete Machine Learning and Data Science: Zero to Mastery

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Created by Andrei Neagoie, Daniel Bourke Students also bought Machine Learning A-Z: Hands-On Python & R In Data Science Data Science A-Z: Real-Life Data Science Exercises Included Machine Learning, Data Science and Deep Learning with Python Statistics for Data Science and Business Analysis Data Science 2020: Complete Data Science & Machine Learning Preview this Udemy Course GET COUPON CODE Description This is a brand new Machine Learning and Data Science course just launched January 2020 and updated this month with the latest trends and skills! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 270,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries).


Clustering & Classification With Machine Learning In Python

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You'll even discover how to use artificial neural networks and deep learning structures for classification! With such a rigorous grounding in so many topics, you will be an unbeatable data scientist by the end of the course.


Artificial Intelligence: Reinforcement Learning in Python

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Online Courses Udemy Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications Created by Lazy Programmer Team, Lazy Programmer Inc. English [Auto-generated], French [Auto-generated], 4 more Students also bought Bayesian Machine Learning in Python: A/B Testing Ensemble Machine Learning in Python: Random Forest, AdaBoost Machine Learning A-Z: Hands-On Python & R In Data Science Complete Python Developer in 2020: Zero to Mastery Natural Language Processing with Deep Learning in Python Preview this course GET COUPON CODE Description When people talk about artificial intelligence, they usually don't mean supervised and unsupervised machine learning. These tasks are pretty trivial compared to what we think of AIs doing - playing chess and Go, driving cars, and beating video games at a superhuman level. Reinforcement learning has recently become popular for doing all of that and more. Much like deep learning, a lot of the theory was discovered in the 70s and 80s but it hasn't been until recently that we've been able to observe first hand the amazing results that are possible. In 2016 we saw Google's AlphaGo beat the world Champion in Go.


Udemy Code Convolutional Neural Networks: Zero to Full Real-World Apps

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"The implementation part is very good and up-too the mark. The explanation step by step process is very good." (February 2018). "course done very well; everything is explained in detail; really satisfied!!!" (February 2018). "Difficult topics are simply illustrated and therefore easy to understand." (January 2018).