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# 189 Algorithms Training Courses (Page 5)

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## C++ For C Programmers, Part B

About this course: This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software. Created by: University of California,…

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## Probabilistic Graphical Models 1: Representation

These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a …

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## Text Mining and Analytics

About this course: This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches …

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## Natural Language Processing

In this class, you will learn fundamental algorithms and mathematical models for processing natural language, and how these can be used to …

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## Machine Learning: Regression

About this course: Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and…

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About this course: This course covers two of the seven trading strategies that work in emerging markets. The seven include strategies based on momentum, momentum crashes, price reversal, persistence of earnings, quality of earning…

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## Data Structures and Performance

Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it? This is an…

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## Analytic Combinatorics, Part I

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. Part I covers generating fu…

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## Computer Vision: From 3D Reconstruction to Visual Recognition

We will study the fundamental theories and important algorithms of computer vision together, starting from the analysis of 2D images, and culminating in the holistic understanding of a 3D scene. About the Course When a 3-dimension…

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## Probabilistic Graphical Models 3: Learning

These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a …

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## Banach Spaces and their Applications in Analysis

These articles present overviews of new developments in each of the conference's main areas of emphasis, namely nonlinear theory, isomorphic theory of Banach spaces including connections with combinatorics and set theory, algebrai…

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## Oracle Utilities: MDM v2 Functionality for Implementers

Learn To: Use the administration menu option Design and setup the suite of admin data Create derived measurements Create VEE Groups Create custom VEE rules Create custom business object lifecycle algorithms Benefits to You Transfo…

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## Algorithms: Design and Analysis, Part 2

Learn how shortest-path algorithms from the 1950s (i.e., pre-ARPANET!) govern the way that your Internet traffic gets routed today; why efficient algorithms are fundamental to modern genomics; and how to make a million bucks in pr…

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## Oracle Insurance: Introduction to Insbridge Rate Manager

In this course participants will learn the steps to build RateManager algorithms including the following: creation and maintenance of Programs, organization of global inputs, variables and results, mapping tables, creating calcula…

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## Algorithms, Part I

About this course: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementa…