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Free machine learning, big data, cloud, python, udemy courses Business, Technology and Creative Skills taught by industry experts. Explore a wide range of skills with provided free courses. Start by choosing one of our Categories. Business. 346 courses. Designing. 15 courses. Film & Video. 20 courses. Language. 20 courses. Other

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  • machine learning-apple developer

    machine learning-apple developer

    Core ML. Core ML delivers blazingly fast performance with easy integration of machine learning models, allowing you to build apps with intelligent new features using just a few lines of code. Easily add pre-built machine learning features into your apps using APIs powered by Core ML or use Create ML for more flexibility and train custom Core ML models right on your Mac

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  • machine learning: automated analysis of iron orepellets

    machine learning: automated analysis of iron orepellets

    Machine learning: Automated analysis of iron ore pellets Analysis of iron ore phases and microstructures used to be done manually at the world’s largest iron ore producers. We collaborated with LKAB to automate analysis

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  • a micro-xrt image analysis andmachine learning

    a micro-xrt image analysis andmachine learning

    Jan 15, 2020 · The full structural characterisation gave access to over 200 features quantifying aspects of the pellets' size, shape, porosity, surface and orientation. The extracted features were assessed using a ReliefF feature selection method and a supervised Support Vector Machine learning algorithm to build a model for the detection of broken pellets within each capsule

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  • why so many data science projects fail to deliver

    why so many data science projects fail to deliver

    Mistake 1: The Hammer in Search of a Nail. Hiren, a recently hired data scientist in one of the banks we studied, is the kind of analytics wizard that organizations covet.3 He is especially taken with the k-nearest neighbors algorithm, which is useful for identifying and classifying clusters of data. “I have applied k-nearest neighbors to several simulated data sets during my studies,” he

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  • a micro-xrt image analysis andmachine learning

    a micro-xrt image analysis andmachine learning

    Jan 15, 2020 · The full structural characterisation gave access to over 200 features quantifying aspects of the pellets' size, shape, porosity, surface and orientation. The extracted features were assessed using a ReliefF feature selection method and a supervised Support Vector Machine learning algorithm to build a model for the detection of broken pellets within each capsule

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  • processes | free full-text |machine learning-based

    processes | free full-text |machine learning-based

    Biomass pellets are required as a source of energy because of their abundant and high energy. The rapid measurement of pellets is used to control the biomass quality during the production process. The objective of this work was to use near infrared (NIR) hyperspectral images for predicting the properties, i.e., fuel ratio (FR), volatile matter (VM), fixed carbon (FC), and ash content (A), of

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  • machine-learningprediction of tumor antigen

    machine-learningprediction of tumor antigen

    Machine-Learning Prediction of Tumor Antigen Immunogenicity in the Selection of Therapeutic Epitopes. Christof C. Smith, Shengjie Chai ... decanting the supernatant. The remaining pellet was resuspended into 1 mL of ACK lysis buffer (150 mmol/L NH4Cl, 10 mmol/L, KHCO3, 0.1 nmol/L Na2EDTA in DPBS, pH 7.3) for 2 minutes at room temperature before

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  • usemachine learningand cognitive services with dataflows

    usemachine learningand cognitive services with dataflows

    Automated machine learning (AutoML) for dataflows enables business analysts to train, validate, and invoke Machine Learning (ML) models directly in Power BI. It includes a simple experience for creating a new ML model where analysts can use their dataflows to specify the input data for training the model

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  • review of the recteq rt-590 mid-sizedpelletgrill

    review of the recteq rt-590 mid-sizedpelletgrill

    All controllers pellet feed rate and fans to reach a temperature range, and then control the feed rate and sometimes the fans in order to maintain that temperature. A PID controller, however, uses machine learning via constant feedback from the cook chamber in …

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  • rules of machine learning: | ml universal guides | google

    rules of machine learning: | ml universal guides | google

    Jun 12, 2019 · This document is intended to help those with a basic knowledge of machine learning get the benefit of Google's best practices in machine learning. It presents a style for machine learning, similar to the Google C++ Style Guide and other popular guides to practical programming. If you have taken a class in machine learning, or built or worked on

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  • plasticssorting| flakes andpellets sortingi bühler group

    plasticssorting| flakes andpellets sortingi bühler group

    Bühler’s range of optical sorters are suitable for sorting a variety of plastics, for example PET flakes, uPVC, HDPE and PP flakes, WEEE/ELV residue and plastic pellets. They can be used to group colors or remove unwanted plastic material

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  • your firstmachine learningproject in python step-by-step

    your firstmachine learningproject in python step-by-step

    Aug 19, 2020 · Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python. In this step-by-step tutorial you will: Download and install Python SciPy and get the most useful package for machine learning in Python. Load a dataset and understand it’s structure using statistical summaries and data

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  • machine learningtutorial - tutorialspoint

    machine learningtutorial - tutorialspoint

    The developers now take advantage of this in creating new Machine Learning models and to re-train the existing models for better performance and results. This tutorial will give an introduction to machine learning and its implementation in Artificial Intelligence. Audience

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  • sasvisual data mining and machine learning| sas

    sasvisual data mining and machine learning| sas

    SAS Visual Data Mining and Machine Learning lets you embed open source code within an analysis, call open source algorithms within a pipeline, and access those models from a common repository – seamlessly within Model Studio. This facilitates collaboration across your organization, because users can do all of this in their language of choice.

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  • comparemachine learningproducts from microsoft - azure

    comparemachine learningproducts from microsoft - azure

    Azure Machine Learning. Azure Machine Learning is a fully managed cloud service used to train, deploy, and manage machine learning models at scale. It fully supports open-source technologies, so you can use tens of thousands of open-source Python packages such as TensorFlow, PyTorch, and scikit-learn

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