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188 Algorithms Training Courses (Page 9)

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Real-World XML

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Topics include: Understanding the Sitemap index format Integrating XML and design Using XML effectively in Firefox and Internet Explorer Avoiding common design mistakes Understanding and implementing DOM algorithms Building an XML…

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Online Knowledge Product Accelerated Application Delivery 2.1 for SAP NetWeaver

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This appliance overcomes bandwidth and latency issues very efficien with caching, compression algorithms and special application aware optimizations. Currently, there are specific optimizations available for the SAP NetWeaver Port…

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Big Ideas in Computer Science

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Interaction with computers has become a big part of our daily life, but they do much more than help us with practicalities. They are tools for understanding the fundamentals of information, processes and human thinking. The insigh…

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Operations Research: A Mathematical Way to Optimize Your World

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Nowadays, everyone is talking about the tremendous opportunities offered by “big data” and all kinds of analytics. To really make the diffe…

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Reason 7 105: Working With Audio

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Next he dives into Reason’s cool algorithms for time-stretching (and shrinking) audio. Hollin even shows you how to record pre-processed audio using Reason’s amazing arsenal of effects. Did anyone say sampling ? Yes, you can sampl…

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Data Structures: An Active Learning Approach

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This interactive text used in this course was written with the intention of teaching Computer Science students about various data structures as well as the applications in which each data structure would be appropriate to use. It …

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Introduction to Analytics Modeling

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You will learn how to use statistical models and machine learning as well as models for: classification; clustering; change detection; data smoothing; validation; prediction; optimization; experimentation; decision making.

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NP-Complete Problems

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Step into the area of more complex problems and learn advanced algorithms to help solve them. This course, part of the Algorithms and Data Structures MicroMasters program, discusses inherently hard problems that you will come acro…

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Machine Learning Fundamentals

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All programming examples and assignments will be in Python, using Jupyter notebooks.

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Reinforcement Learning Explained

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This course is part of the Microsoft Professional Program in Artificial Intelligence.Reinforcement Learning (RL) is an area of machine learning, where an agent learns by interacting with its environment to achieve a goal. In this …

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Object-Oriented Programming

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Topics Include: Introduction to Object Oriented Programming Classes and Methods Polymorphism Inheritance Standard Library of C++ This course is part of the Fundamentals of Computer Science XSeries Program: Programming Basics Found…

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Big Data Fundamentals

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You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big da…

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Autonomous Mobile Robots

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The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments. The main emphasis is put on mobile robot locomotion and kinematics, envi…

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Developing AI Speech Apps with Microsoft Cognitive Services

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Microsoft Cognitive Services is a set of cloud-based intelligence services and APIs for building richer, smarter, and more sophisticated applications. The Speech APIs available in Microsoft Cognitive Services offer many ready-to-u…

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Machine Learning

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Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. This area is also concerned with issues both theoretical and practical. In this cour…