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Machine learning ppt

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- What is machine learning ppt

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Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. You also get free access to Scribd! Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. It appears that you have an ad-blocker running. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Successfully reported this slideshow. Your SlideShare is downloading. Lecture 1: What is Machine Learning? Marina Santini. Next SlideShares.

You are reading a preview. Activate your 30 day free trial to continue reading. Continue for Free. Upcoming SlideShare. Machine Learning. Lecture 1: Introduction to the Course Practical Information. What is machine learning ppt Size px. Start on. Show related SlideShares at end. WordPress Shortcode. Share Email. Top clipped slide. Download Читать Download Download to read offline. Marina Santini Follow. Computational Linguist, PhD.

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Information processing in consumer behaviour. Five functions of effective management. Active and Passive audience theories. Buying decision process in rural marketing. Similar to Lecture 1: What is Machine Learning? Machine learning what is machine learning ppt by akanksha bali. Big data expo - machine learning in the elastic stack. Essential concepts for machine learning. More from Marina Santini Can We Quantify Domainhood? Exploring Measures to Assess Domain-Specificity i Lecture: Ontologies and the Semantic Web.

Lecture: Vector Semantics aka Distributional Semantics. Semantics and Computational Semantics. Lecture 9: Machine Learning in Practice 2. Lecture 8: Machine Learning in Practice 1. Recently uploaded Commonly used instrument in Experimental Pharmacology. Analysis of Wind Energy Fatalities. Marina Santini santinim stp. What is machine learning ppt is Machine Learning? This covers cases like "all the while" or "in a while", where "while" should be tagged as a noun rather than its more common use as a preposition many rules are more general.

The training material is a collection of tokenized sentences where each token has the assigned part-of-speech tag. What is machine learning ppt accuracy can be measured on a test dataset or via cross validation. Sometimes this is informally called a "top-down" approach. We might begin with thinking up a theory about our topic of interest. What is machine learning ppt then narrow that down into найдёте ghost win 10 google drive согласен specific hypotheses that we can test.

This ultimately leads us нажмите чтобы увидеть больше be able to test the hypotheses with specific data -- a confirmation or not of our original theories.

Informally, we sometimes call this a "bottom up" approach. In inductive reasoning, we begin with specific observations the data and measures, begin to detect patterns and regularities, formulate some tentative hypotheses that we can explore, and finally end up developing a general model.

Machine Learning is based on The whole idea is to replace the "human writing code" with a "human supplying data" and then let the system figure out what it is that the person wants to do by looking at the examples. Why learning? Why is ML so fashionable? M Lecture 1: What is Machine Learning? He also suggested the term data science as a placeholder to call the overall field. During this process machine Learning algorithms are used.

Example: Spam Filter by Andrew Y. Classifying emails as spam or not spam 2. Watching you label emails as spam or not spam. None of the above—this is not a machine learning problem. Spam Filter by Andrew Y.

Underfitting is often a result of an excessively simple model. Data: The iris dataset Three components: 1. Models Models are theoretical assumptions — decision trees, naive bayes, perceptron, etc. Given: — Domain X: descriptions — Domain Y: predictions — H: hypothesis space; the set of all possible hypotheses — h: target hypothesis — Idea: to extrapolate observed y's over all X.

Trees that place high information gain attributes close to the root are preferred over those that do not. Lecture 3: Basic Concepts of ML 33 You just clipped your first what is machine learning ppt Clipping is a handy way to collect important slides you want to go back to later.

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