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Oracle Blogs Oracle Data Science

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Innovator and educator Amit Mishra, Ph.D. presents a methodology that fuses Design Thinking and System Engineering that can increase the success of a data science project. Oracle Digital Assistant Architect and Software Lead Gautam Singaraju , PhD gives an introduction on word embeddings along with techniques that embed higher dimensional artifacts into low dimensional Facebook deal Twitter Share Linkedin Share Learn Data Science Predictive Maintenance for Upstream Oil and Gas Oracle Data Scientist Joe Hahn presents a toy-model simulation to assess a predictive maintenance strategy that can be applied to upstream oil and gas. Oracle Data Scientist Mats Stellwall goes over four techniques that are considered traditional machine learning, including clustering, classification, regression, and market basket analysis.

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Learn how artificial intelligence is impacting the way companies do business and how to start “plugging AI” into your company’s existing data and systems. Facebook Share Twitter Share Linkedin Share Learn Data Science Transfer Learning in PyTorch, Part 2: How to Create a Transfer Learning Class and Train on Kaggle's Test Set In part two of this transfer learning tutorial, we learn how to create a transfer learning class and train it on Kaggle's much larger dataset. In part two of this transfer learning tutorial, we learn how to create a transfer learning class and train it on Kaggle's much larger dataset. Facebook Share twitter Share Linkedin Share Learn Data Science Transfer Learning in PyTorch, Part 1: How to Use DataLoaders and Build a Fully Connected Class In part one of this transfer learning tutorial, we learn how to build datasets and DataLoaders for train, validation, and testing using PyTorch API, as well as a fully connected class on top of PyTorch's core NN module. In part one of this transfer learning tutorial, we learn how to build datasets and DataLoaders for train, validation, and testing using PyTorch API, as well as a fully connected class on top of Facebook Share Twitter Share Linkedin Share Learn Data Science four Types of Data Analytics ActivePDF Director of Marketing Derek Gerber outlines four main categories of data analytics and their functions. ActivePDF director of Marketing Derek Gerber outlines four main categories of data analytics and their functions. Facebook Share Twitter Share Linkedin Share Best Practices The Hidden Insights of Patent Data Black Hills IP CTO Tom Marlow explains why patent data is a fertile ground for analysis and insight on research and development activity around the world. Black J._J._Hill IP CTO Tom Marlow explains why patent data is a fertile ground for analysis and insight on research and development activity around the world. Facebook Share Twitter Share Linkedin Share Learn Data Science four Approaches to Overcoming Label Bias in Positive and Unlabeled Learning Oracle Principal Data Scientist Taylor Foust tackles the common issue of label bias in positive and unlabeled learning, and shares some techniques that may be useful in identifying and mitigating these problems. Oracle principal_sum Data Scientist Taylor Foust tackles the common issue of label bias in positive and unlabeled learning, and shares some techniques that may be useful in identifying and Facebook Share Twitter Share Linkedin Share Learn Data Science Fashion Retailing Forecasting, Part 2: A Problem with Maximum Likelihood Oracle Senior Principal Data Scientist Su-Ming Wu presents a problem with maximum likelihood introduced in Part I of the series and offers up his solution. Oracle senior school_principal Data Scientist Su-Ming Wu presents a problem with maximum likelihood introduced in Part I of the series and offers up his solution. Facebook Share Twitter Share Linkedin Share Learn Data Science Fashion Retailing Forecasting, Part 1: Size Profiles with Maximum Likelihood Oracle Senior Principal Data Scientist Su-Ming Wu shares how to use machine learning techniques to estimate size profiles from historical sales data. Oracle Senior principal_sum Data Scientist Su-Ming Wu shares how to use machine learning techniques to estimate size profiles from historical sales data. Facebook Share twitter Share Linkedin Share Learn Data Science Visualizing the Reel World with Tableau Learn Tableau with this tutorial that walks you through connecting data, building visualizations, setting up a dashboard, and saving to a server. Learn Tableau with this tutorial that walks you through connecting data, building visualizations, setting up a dashboard, and saving to a server. Facebook Share twitter Share Linkedin Share Learn Data Science Convolutional Neural Networks , Explained Learn about the Convolutional Neural Network, its architecture, how it's built, and its many applications. Learn about the Convolutional neural Network, its architecture, how it's built, and its many applications. Facebook Share Twitter Share Linkedin Share Best Practices The Business Value of Combinatorial Subgraph Search Scientist Sinisa Vukovic showcases the business value of graph implementation, specifically Combinatorial Subgraph Search (CSS). scientist Sinisa Vukovic showcases the business value of graph implementation, specifically Combinatorial Subgraph Search (CSS). Facebook Share twitter Share Linkedin Share Best Practices three Methods to Handle Missing Data Machine learning practitioner Shashank Shekhar Rai goes over the different types of missing data as well as the common methods to handle missing data. Machine learning practitioner Shashank Shekhar Rai goes over the different types of missing data as well as the common methods to handle missing data. Facebook Share twitter Share Linkedin Share Learn Data Science Study: What skill Does the Typical Data Scientist Have in 2019? three hundred and sixty-five data Science's Iliya Valchanov shares the results of a study of 1,001 data scientist LinkedIn profiles. Find out how the typical data scientist in two thousand and nineteen prepares for the rigors of the job. three hundred and sixty-five data Science's Iliya Valchanov shares the results of a study of 1,001 data scientist LinkedIn profiles. Find out how the typical data scientist in two thousand and nineteen prepares for the rigors of the job. Facebook Share Twitter Share Linkedin Share Use Cases IoT and Biometrics : Applications for the future_tense Oracle Cloud Solution Hub leader Jukka Paajanen presents an IoT use case around understanding human behavior through biometrics. Oracle fog solution Hub leader Jukka Paajanen presents an IoT use case around understanding human behavior through biometrics. Facebook Share Twitter Share Linkedin Share Best Practices six Steps to Building a Powerful Customer Analytics System Carol Hargreaves, director of the data analytics consulting centre at the University of Singapore, presents six steps to building a powerful customer analytics system. carol Hargreaves, director of the data analytics consulting centre at the University of Singapore, presents six steps to building a powerful customer analytics system. Facebook deal chirrup Share Linkedin Share Best Practices Fusing Design Thinking and System Engineering for Data Science Innovator and educator Amit Mishra, Ph.D. presents a methodology that fuses Design Thinking and System Engineering that can increase the success of a data science project. Innovator and educator Amit Mishra, Ph.D. presents a methodology that fuses Design Thinking and System Engineering that can increase the success of a data science project. Facebook Share twitter Share Linkedin Share Learn Data Science An Introduction To Building a Classification Model Using Random Forests In Python A random forest is an ensemble machine learning algorithm that is used for classification and regression problems. IN this tutorial, learn how to build a random forest, use it to make predictions, and test its accuracy. A random forest is an ensemble machine learning algorithm that is used for classification and regression problems. IN this tutorial, learn how to build a random forest, use it to make predictions, Facebook Share Twitter Share Linkedin Share Use Cases The Benefits of a Hybrid Software Solution Oracle Principal Data Scientist Setareh Borjian looks at the disadvantages of a pre-packaged software solution and considers the practicality of a hybrid solution. Oracle Principal data Scientist Setareh Borjian looks at the disadvantages of a pre-packaged software solution and considers the practicality of a hybrid solution. Facebook deal chirrup Share Linkedin Share Learn Data Science Introduction to Embedding in Natural Language Processing Oracle Digital Assistant Architect and Software Lead Gautam Singaraju, Ph.D. gives an introduction on word embeddings along with techniques that embed higher dimensional artifacts into low dimensional vectors. Oracle Digital Assistant Architect and Software Lead Gautam Singaraju , PhD gives an introduction on word embeddings along with techniques that embed higher dimensional artifacts into low dimensional Facebook deal Twitter Share Linkedin Share Learn Data Science Predictive Maintenance for Upstream Oil and Gas Oracle Data Scientist Joe Hahn presents a toy-model simulation to assess a predictive maintenance strategy that can be applied to upstream oil and gas. Oracle data scientist Joe Hahn presents a toy-model simulation to assess a predictive maintenance strategy that can be applied to upstream oil and gas. Facebook Share Twitter Share Linkedin Share Best Practices Why Is It so Hard to Put Data Science in Production? Is data science helping your company build the systems that automate operational decisions? If not, senior data Scientist Sebastian Neubauer believes that adopting a DevOps mentality in your data science efforts can get you a higher ROI. Is data science helping your company build the systems that automate operational decisions? If not, Senior Data Scientist Sebastian Neubauer believes that adopting a DevOps mentality in your data Facebook Share Twitter Share Linkedin Share Learn Data Science Overview of Traditional Machine Learning Techniques Oracle Data Scientist Mats Stellwall goes over four techniques that are considered traditional machine learning, including clustering, classification, regression, and market basket analysis. Oracle Data Scientist Mats Stellwall goes over four techniques that are considered traditional machine learning, including clustering, classification, regression, and market basket analysis. Facebook Share Twitter Share Linkedin Share Learn Data Science Using the Artificial Neural Network for Credit Risk Management Oracle Financial Software Services Solution Architect Manish Bhoge introduces the Artificial Neural Network and how it can used in credit risk analysis. Oracle financial software Services Solution Architect Manish Bhoge introduces the Artificial Neural Network and how it can used in credit risk analysis. Facebook Share Twitter Share Linkedin Share Best Practices five Data Cleaning Tips to Test Assumptions In this post, machine learning practitioner Shashank Shekhr Rai offers five tips that any data scientist or analyst can use as data checks and a way to second guess any assumptions that may creep through in data cleaning. In this post, machine learning practitioner Shashank Shekhr Rai offers five tips that any data scientist or analyst can use as data checks and a way to second guess any assumptions that may Facebook Share Twitter Share Linkedin Share Best Practices Target Twisted: void Creating bias in Loss Cost Modeling Actuarial rate-making thought leader Gyasi Kwabena Dapaa explains why actuarial trend rates are not suitable for trending target loss variables of insurance predictive models. actuarial rate-making thought leader Gyasi Kwabena Dapaa explains why actuarial trend rates are not suitable for trending target loss variables of insurance predictive models. Facebook Share twitter Share Linkedin Share Best Practices A Business Perspective to Designing an Enterprise-Level Data Science Pipeline Oracle Senior Data Scientist Vikram Reddy walks through a case study and illustrates key things to keep in mind when designing a data science pipeline. Oracle senior Data Scientist Vikram Reddy walks through a case study and illustrates key things to keep in mind when designing a data science pipeline. Facebook ploughshare twitter Share Linkedin Share Learn Data Science Computer Vision in Artificial Intelligence Infostretch Data Scientist Mayank Mishra gives an introduction to computer vision and the Convolutional Neural Network. Infostretch data scientist Mayank Mishra gives an introduction to computer vision and the Convolutional Neural Network. Facebook Share chitter Share Linkedin Share Best Practices ten Common Data Science Pitfalls to Avoid Chief Economist Mischa Fisher takes his role in overseeing several Illinois state agencies and shares the ten common data science pitfalls that are universal to every data practice. Chief Economist Mischa Fisher takes his role in overseeing several Illinois state agencies and shares the ten common data science pitfalls that are universal to every data practice. Facebook Share twitter Share Linkedin Share Best Practices Data Science Concepts From A to Z: A Quickstart Guide for Non-Technical Professionals Beyond technical challenges, misalignment between data science and business teams is one of the most common reasons data projects fail. Learn the lingo of data science — and improve outcomes — with our new interactive eBook, The Data Science ABCs. Beyond technical challenges, misalignment between data science and business teams is one of the most common reasons data projects fail. Learn the lingo of data science — and improve outcomes — Facebook Share Twitter Share Linkedin Share Best Practices Making the Case for Centralized Data Science Oracle Hospitality Senior Director of Data Science Strategy Saras Yagnavajhala shares how a centralized approach to data science can help break organizational silos and drive measurable and scalable results. Oracle hospitality senior Director of Data Science Strategy Saras Yagnavajhala shares how a centralized approach to data science can help break organizational silos and drive measurable and Facebook Share Twitter Share Linkedin Share Best Practices How to Make Sure Your Machine Learning Model Holds Up In Court Consider these tips to help improve the odds that your machine learning model will be used in a business setting. consider these tips to help improve the odds that your machine learning model will be used in a business setting. Facebook Share twitter Share Linkedin Share Best Practices three Features That will Keep Your IoT Initiative From Failing Oracle Director of Product Management Viji Krishnamurthy covers the key features of a successful IoT project. Oracle director of production Management Viji Krishnamurthy covers the key features of a successful IoT project. Facebook Share twitter Share Linkedin Share Learn Data Science Asynchronous Programming in Python for Web Scraping Data Scientist Quan Nguyen provides a thorough explanation of asynchronous programming in this tutorial, which illustrates the basics through a variety of examples.
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Oracle Blogs Oracle Data Science
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