Well File:

tableau


HPE and Salesforce unveil AI and automation tools for developers

ZDNet

HPE has announced its next move in artificial intelligence (AI) technology, launching HPE Swarm Learning and the new Machine Learning (ML) Development System. The new tools have been rolled out with the focus of improving accuracy in models, addressing AI infrastructure burdens and improving data privacy standards. HPE claims the Swarm Learning tool is a "breakthrough AI solution" that aims to fast-track insights at the edge, with uses ranging from detecting credit card fraud to diagnosing diseases. HPE claims that the system achieves this by unifying various AI model learnings whilst also protecting data privacy. Executive vice president and general manager Justin Hotard said the new technology has already made progress in addressing challenges in these areas.


Tableau: What it is?

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. It is hard to stay relevant in the data field and still not know about Tableau.


5 Data Science Projects to Learn 5 Critical Data Science Skills - KDnuggets

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If you're trying to break into the data science industry, it can be great to get some projects under your belt. Doing data science projects helps you to develop the skills you'll need to work as a data scientist. You'll also have a product you can put on your resume and discuss during interviews, which is critical to show you know what you're doing. The data science development cycle is the main pattern of any data science project, whether it's for a company or for your own personal project.You'll need to be comfortable with data collection, cleaning, modeling, and visualization to be a proficient data scientist. The specific tool stack you use at your future data science job may vary from the tools I recommend below, but like anything in the computer science world, it's more about learning how to think than specific syntax or features of one tool over another.


The Business Intelligence Analyst Course 2022

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These are the precise technical skills recruiters are looking for when hiring BI Analysts. And today, you have the chance of acquiring an invaluable advantage to get ahead of other candidates. This course will be the secret to your success. And your success is our success, so let's make it happen!


Tableau announces deeper Slack integration, platform to hire developers

ZDNet

Tableau unveiled a slate of new features and integrations at the Tableau Conference this week, including a platform connecting companies in need with developers for hire as well as deeper data integrations with Slack. Alongside announcements about ongoing partnerships with the Seattle Seahawks, Lyft and Jaguar Land-Rover, executives touted new Slack-First Analytics that allow users to access information from Tableau directly within Slack. Through natural language processing, users can also "talk" to their data with questions in the "Ask Data in Slack" feature. Tableau is also adding sections to its platform covering model building and scenario planning. Administrators will have access to features that allow them to create new data access points and centrally manage who has access to what.


5 Minutes With Tableau's Francois Zimmermann – Manufacturing Global

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There are also ethical challenges with the use of machine learning models as these may perpetuate bias and discrimination.


The Data Science Course 2021: Complete Data Science Bootcamp

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The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don't teach!) Start coding in Python and learn how to use it for statistical analysis Perform linear and logistic regressions in Python Carry out cluster and factor analysis Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn Apply your skills to real-life business cases Use state-of-the-art Deep Learning frameworks such as Google's TensorFlowDevelop a business intuition while coding and solving tasks with big data Unfold the power of deep neural networks Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations No prior experience is required. We will start from the very basics You'll need to install Anaconda. We will show you how to do that step by step Microsoft Excel 2003, 2010, 2013, 2016, or 365 The Problem Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.


Tableau's latest update aims for AI enhanced augmented analytics, broader access to data

ZDNet

In this special feature, ZDNet examines how advances in AI, visualization and cloud technology are shaping modern data analytics, and how businesses are addressing data governance and a potential data science skills gap. Tableau is integrating more artificial intelligence into its platform to broaden the base of people, roles and skill levels able to access analytics. The augmented analytics functions in Tableau 2021.2 cover improvements to the Ask Data feature with personalized experiences, Explain Data with a new user interface and natural language search tools and reporting integrations with Salesforce. Salesforce has said it is increasingly selling Tableau along with its core clouds. Francois Ajenstat, Chief Product Officer at Tableau, said the new tools are aimed at democratizing data and creating an analytics-driven culture.


Tableau 2020 Training For Data Science & Business Analytics

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Whether you are a beginner or have some skills in tableau, from this course you will learn tableau and develop skills that will help you present information and tell compelling stories using data. What students say about this course? "The course is split into many stages, each designed to give a solid foundation in tableau without leaving the student with knowledge gaps. If someone is a complete beginner or have Basic knowledge then they can start with this course." "I was familiar with Tableau even before starting this course, despite that I found the lessons bringing out an extra level of useful detail and Tableau features.


Top 10 Data Science Projects for Beginners - KDnuggets

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As an aspiring data scientist, you must have heard the advice "do data science projects" over a thousand times. Not only are data science projects a great learning experience, they also help you stand out from the crowd of data science enthusiasts looking to break into the field. In this article, I am going to walk you through the projects that are must-haves on your resume. I will also provide you with sample datasets to experiment with for each project, along with associated tutorials that will help you complete the project. Data collection and pre-processing is one of the most important skills to have as a data scientist.