Who Should Deploy My Data Science Models?
Dataiku
SEPTEMBER 24, 2021
Deploying a new data science model in production is like installing a new light bulb in your house.
Dataiku
SEPTEMBER 24, 2021
Deploying a new data science model in production is like installing a new light bulb in your house.
Analytics Vidhya
SEPTEMBER 24, 2021
This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […]. The post Building a Machine Learning Model for Title Generation appeared first on Analytics Vidhya.
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Smart Data Collective
SEPTEMBER 24, 2021
Machine Learning is a branch of Artificial Intelligence that works by giving computers the ability to learn without being explicitly programmed. Machine Learning is already being used in many aspects of our life , from recommending movies or music based on past preferences to giving doctors’ advice on relevant treatments for their patients. As technology advances, machine learning will have more opportunities to help businesses engage with their customers and improve the overall customer experie
Analytics Vidhya
SEPTEMBER 24, 2021
This article was published as a part of the Data Science Blogathon In this article, we will learn how to classify images based on fine details of images using a stacked pre-trained model to get maximum accuracy in TensorFlow. Introduction Hey folks, I hope you have done some image classification using pre-trained TensorFlow or TensorFlowor other […].
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Smart Data Collective
SEPTEMBER 24, 2021
While it might sound ironic that high-tech fields such as data science still require you to submit a resume, even the most cursory look over a list of job openings should prove this to be true. Managers and HR department staffers in even the most technically-oriented companies are actually on the lookout for candidates with an impressive resume. This might encourage some applicants to stretch the truth.
Analytics Vidhya
SEPTEMBER 24, 2021
This article was published as a part of the Data Science Blogathon Introduction In practice, the vast majority of you will not have to deal with creating new models and training them from scratch on the client-side. Most often, you will have to create models based on existing ones. This technique is called Transfer Learning. Also, […]. The post Understand Transfer Learning Using TensorFlow.JS appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Jet Global
SEPTEMBER 24, 2021
If the world was fairly predictable, financial planning would be a relatively straightforward process. You are likely familiar with the traditional approach to budgeting, in which you adjust last year’s numbers upward by some fixed percentage, followed by a review process and perhaps some adjustments here and there. But today’s world is far from predictable.
Jet Global
SEPTEMBER 24, 2021
What is Equity Management? The equity of a company represents the amount of money the owners of a company would have if they dissolved their business by selling their assets and paying off their liabilities. Equity management is the process by which a company tracks and manages the ownership of the company with relation to stakeholders. What is Equity?
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