Wed.Aug 25, 2021

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IT Dashboard: Supporter to Harness Information Technology

FineReport

People become to be aware of how informative and useful information technology is and information technology occupies a rather large part of our work. Under this situation, have you ever felt everything is turning out of control. Information technology (IT) dashboard helps release your pressure by harnessing IT effectively. IT dashboard: definition & design.

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Must know Pandas Functions for Machine Learning Journey

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Do you wish you could perform this function using Pandas. Well, there is a good possibility you can! For data scientists who use Python as their primary programming language, the Pandas package is a must-have data analysis tool. The Pandas package has everything […].

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10 Tips to Visualize Data Like a Pro

Juice Analytics

Have you nailed all the data visualization basics? Stuff like… ?You know pie charts are bad except in certain specific use cases; ?You can spot chartjunk from a mile away; ?You confidently pick the right kind of chart based on what you want to emphasize in the data; ?You use just the right amount of color to bring meaning, but not so much as to distract; ?

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Functools -The Power of Higher-Order Functions in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The Python Standard Library has many great modules to help in keeping your code cleaner and simpler and functools is definitely one of them. The function that accepts a function as an argument and returns a function to the calling function is called […]. The post Functools -The Power of Higher-Order Functions in Python appeared first on Analytics Vidhya.

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Get Better Network Graphs & Save Analysts Time

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.

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What’s the Link Between AI Governance, MLOps, and Responsible AI? Scaling AI

Dataiku

We are taking a break on the AI regulation series to take a step back and clarify the connection between AI Governance, MLOps, and Responsible AI. These three concepts fall off the tip of the tongues of industry practitioners, researchers, and regulators alike, all without having clearly defined connections or boundaries. At Dataiku , we believe that these concepts are central pieces of being able to scale with AI.

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Announcing Machine Learning Certification Course for Beginners!

Analytics Vidhya

Time to Start your Machine Learning Journey for FREE! From face unlock to giving biometric attendance, machine learning seeped into human lives at almost every stage. Machine learning is so extensive that you probably use it numerous times a day involuntarily and unknowingly Currently, Machine Learning is like that golden dream, which everyone wants but […].

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Python and MySQL: A Practical Introduction for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Let’s look at a practical example of how to make SQL queries to a MySQL server from Python code: CREATE, SELECT, UPDATE, JOIN, etc. Most applications interact with data in some form. Therefore, programming languages ??(Python is no exception) provide tools for storing […].

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Bias in AI

DataRobot

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process. In each of these categories is a set of dimensions of trust.

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Developing A Course Recommender System using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Recommender System is a software system that provides specific suggestions to users according to their preferences. These techniques may provide decision-making capabilities to the user. Items refer to any product that the recommender system suggests to its user like movies, music, news, travel […].

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Why Ecosystems are Essential for Growing Partnerships: an Interview with Tech Data’s Vice President of Data, AI and IoT

Cloudera

In this edition of Partner Perspective, Cloudera’s own Rachel Tuller sits down with Craig Smith, Vice President of Data, AI and IoT at Tech Data. They discuss the importance of business partnerships, the pandemic’s impact on the tech industry, and Craig’s predictions about the industry going forward. Tech Data is one of the largest technology distributors globally.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Hierarchical Clustering Algorithm Python!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, we’ll look at a different approach to K Means clustering called Hierarchical Clustering. In comparison to K Means or K Mode, hierarchical Clustering has a different underlying algorithm for how the clustering mechanism works. Hierarchical clustering uses agglomerative or divisive […].

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The Ethics of Data Exchange

Cloudera

COVID-19 vaccines were developed in record time. One of the main reasons for the accelerated development was the quick exchange of data between academia, healthcare institutions, government agencies, and nonprofit entities. “COVID research is a great example of where sharing data and having large quantities of data to analyze would be beneficial to us all,” said Renee Dvir, solutions engineering manager at Cloudera.

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NLPAUG – A Python library to Augment Your Text Data

Analytics Vidhya

Introduction In contrast to Computer Vision, where image data augmentation is common, text data augmentation in NLP is uncommon. Simple manipulations on images, such as rotating them a few degrees or turning them to grayscale, have little effect on their semantics. Because of the semantically invariant transformation, augmentation has become an important tool in Computer […].

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AI-Driven Customization Provides Tremendous Benefits for Your Brand

Smart Data Collective

In this virtual age of social media, we love to customize our profiles, blogs, and business pages. We love to personalize our pages with quirks and branding that shows off our personalities and likes. We have found that AI technology can be very useful, because it allows you to nuance the visuals and messages for your audience. But what about our personal or professional branding?

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Advanced OpenCV: Blurring An Image using the Renowned OpenCV Library

Analytics Vidhya

Introduction. Up to this point in our OpenCV Tutorial, we have gained a notable level of insight into the methods and techniques of the OpenCV package in the Python Programming Language. If you have not read through my previous articles and would like to do so, kindly navigate to the following hyperlinks: Article 1: An […]. The post Advanced OpenCV: Blurring An Image using the Renowned OpenCV Library appeared first on Analytics Vidhya.

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Five Types of Budgets: Which One is Right for You

Jet Global

Traditionally, most businesses approach budgeting as an adjustment to the status quo. The current year’s budget and year-to-date actuals usually serve as the starting point for next year’s budget. Although this is an entirely legitimate approach, it is only one of five main types of budgeting processes that business leaders have at their disposal. In this article, we’ll explore all five methods of producing a budget, including the distinct advantages and disadvantages of each approach.

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Load Dataset Directly into Colab from anywhere on the Browser using CurlWget Extension

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Table of Contents Introduction CurlWget Extension Uploading data on Colab from any Website Dealing with various file formats in Collaboratory Save and reuse files without wasting the internet If files are shared with you on gdrive Conclusion About the Author Introduction Google colaboratory […].

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Python Tutorial: Object-Oriented Programming system (OOPs) – Part 2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Source Overview: In my previous article on OOP, we discussed basic concepts like classes, objects, methods, etc. In this article, we are going to see the main concepts of OOP. They are: Inheritance Single-level Inheritance Multi-level Inheritance Multiple Inheritance Polymorphism Method Overriding […].

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.