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Crash Course On Multi-Layer Perceptron Neural Networks
Aug 15, 2020 · Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. There are a lot of specialized terminology used when describing the data structures and algorithms used in the field. In this post you will get a crash course in the terminology and processes used in the field of multi-layer perceptron artificial …
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A qualified data scientist must be able to demonstrate evidence of successful completion of a real-world data science project that includes every stage in data science and machine learning process such as problem framing, data acquisition and analysis, model building, model testing, model evaluation, and deploying models.
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ALGORITHMS AND COLLUSION - OECD
Algorithms and Collusion: Competition Policy in the Digital Age Foreword The combination of big data with technologically advanced tools, such as pricing algorithms, is increasingly diffused in everyone’s life today, and this is changing the competitive landscape in which many companies operate and the way in which they make
One-Class Classification Algorithms For Imbalanced Datasets
Aug 20, 2020 · One-Class Support Vector Machines. The support vector machine, or SVM, algorithm developed initially for binary classification can be used for one-class classification.. If used for imbalanced classification, it is a good idea to evaluate the standard SVM and weighted SVM on your dataset before testing the one-class version.
Introduction To Parallel Computing Tutorial | HPC @ LLNL
Single Data: A single data stream is fed into multiple processing units. Few (if any) actual examples of this class of parallel computer have ever existed. Some conceivable uses might be: multiple frequency filters operating on a single signal stream; multiple cryptography algorithms attempting to crack a single coded message.
Data Type - Wikipedia
In computer science and computer programming, a data type or simply type is an attribute of data which tells the compiler or interpreter how the programmer intends to use the data. Most programming languages support basic data types of integer numbers (of varying sizes), floating-point numbers (which approximate real numbers), characters and Booleans.A data type …
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Nov 08, 2021 · Data Structures. Efficient and specific data structures. Apache Avro - Data interchange format with dynamic typing, untagged data, and absence of manually assigned IDs. Apache Orc - Fast and efficient columnar storage format for Hadoop-based workloads. Apache Parquet - Columnar storage format based on assembly algorithms from Google's paper on ...
