Deep learning Calculus - Data Science - Machine Learning AI - BuzzTechy

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Udemy Online Course - Deep learning Calculus - Data Science - Machine Learning AI Mastering Calculus for Deep learning / Machine learning / Data Science / Data Analysis / AI using Python You start by learning the definition of function and move your way up for fitting the data to the function which is the core for any Machine learning, Deep Learning, Artificial intelligence, Data Science Application. Once you have mastered the concepts of this course, you will never be blind while applying the algorithm to your data, instead you have the intuition as how each code is working in background. What you'll learn Build Mathematical intuition especially Calculus required for Deep learning, Data Science and Machine Learning The Calculus intuition required to become a Data Scientist / Machine Learning / Deep learning Practitioner How to take their Data Science / Machine Learning / Deep learning career to the next level Hacks, tips & tricks for their Data Science / Machine Learning / Deep learning career Implement Machine Learning / Deep learning Algorithms better Learn core concept to Implement in Machine Learning / Deep learning Who this course is for: Data Scientists who wish to improve their career in Data Science. Deep learning / Machine learning practitioner who wants to take the career to next level Any one who wants to understand the underpinnings of Maths in Data Science, Machine Learning, Deep Learning and Artificial intelligence Any Data Science / Machine Learning / Deep learning enthusiast Any student or professional who wants to start or transition to a career in Data Science / Machine Learning / Deep learning Students who want to refresh and learn important maths concepts required for Machine Learning, Deep Learning & Data Science. Data Scientists who wish to improve their career in Data Science.


Machine Learning 205 What is Deep Learning

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Top Stories of 2017: 10 Free Must-Read Books for Machine Learning and Data Science; Python overtakes R, becomes the leader in Data Science, Machine Learning platforms

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We continued to cover interesting and important stories in the intersecting fields of AI, Analytics, Big Data, Data Science, Deep Learning, and Machine Learning. We published over 1200 stories, had over 4.8 million visitors who saw over 14 million pages. Our subscribers have grown to over 200,000 subscribers/followers via email and social media. Here are the top KDnuggets stories from 2017 - read them, if you have not already. How to understand Gradient Descent algorithm, by Jahnavi Mahanta 17 More Must-Know Data Science Interview Questions and Answers, by Gregory Piatetsky 6 Reasons Why Python Is Suddenly Super Popular, by Kayla Matthews 7 More Steps to Mastering Machine Learning With Python, by Matthew Mayo Here are the most shared stories in 2017.


Data Science & Machine Learning - Apriori Algorithm Concepts- DIY- 35 -of-50

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Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers in retail stores, or details of a website visit frequency). Common usage: Market Basket Analysis: Products bought together frequently. It produces association rules that indicates what all combinations of medications and patient characteristics lead to ADRs.


Machine Learning 001 Applications of Machine Learning

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