Sat.Feb 12, 2022 - Fri.Feb 18, 2022

article thumbnail

Free MIT Courses on Calculus: The Key to Understanding Deep Learning

KDnuggets

Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

article thumbnail

K-Fold Cross Validation Technique and its Essentials

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image designed by the author Introduction Guys! Before getting started, just […]. The post K-Fold Cross Validation Technique and its Essentials appeared first on Analytics Vidhya.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How AI and Data Analytics Will Impact The Era of COVID-19

Dataconomy

Artificial intelligence (AI) and data analytics are rapidly growing trends in the tech world. With increasing potential for innovation, it is paramount that we stay up to date with all the latest developments in this field. According to MarketsandMarkets, the worldwide artificial intelligence (AI) market will increase from USD 58.3 billion.

Analytics 254
article thumbnail

Data Speaks for Itself: Data Littering

The Data Administration Newsletter

No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with the growing movement to improve data literacy in the enterprise. What I want to talk about is Data Littering, which is something else entirely. Data Littering is the deliberate act of creating and distributing data […].

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

article thumbnail

An Easy Guide to Choose the Right Machine Learning Algorithm

KDnuggets

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

article thumbnail

A Quick Guide to Bivariate Analysis in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In all kinds of data science projects across domains, EDA (exploratory data analytics) is the first go-to analysis, without which the analysis is incomplete or almost impossible to do. One of the key objectives in many multi-variate analyses is to understand relationships between […].

Python 312

More Trending

article thumbnail

Map of Russian gas exports

FlowingData

Speaking of Russian gas, Josh Holder, Karl Russell and Stanley Reed for The New York Times mapped gas exports from Russia to E.U. countries. NYT used Sankey flows where thicker lines mean more gas, which are paired with a choropleth map that represents share each country’s natural gas imports that are from Russia. Tags: gas , New York Times , Russia.

143
143
article thumbnail

How You Can Use Machine Learning to Automatically Label Data

KDnuggets

AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.

article thumbnail

Linear Regression with Python Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction If you are reading this article, I am assuming that you are already familiar with Machine Learning, and have a basic idea about it. If not no worries, we will go through step by step to understand Machine Learning and Linear […]. The post Linear Regression with Python Implementation appeared first on Analytics Vidhya.

Python 310
article thumbnail

Mlytics launches AI-powered digital experience delivery platform to fix site outage and security issues

Dataconomy

Towards the end of 2021, the Facebook (now Meta) family of apps cost the company nearly $100 million in revenue thanks to a six-hour-long outage. In addition to revenue losses, it drove millions of users to rival platforms, such as Twitter, Telegram, and Signal. The problem of website downtime is.

AI 185
article thumbnail

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.

article thumbnail

Trendiest Baby Name Every Year Since 1930, in the U.S.

FlowingData

Baby names gain sudden popularity for various reasons. Maybe a celebrity with a unique name gains traction, or a character in a movie strikes a chord with audiences. Maybe an athlete reaches the peak of fame, and expecting parents have similar dreams. I wondered how these trends changed over time. So using data from the Social Security Administration, I found the most trendy baby name every year since 1930.

139
139
article thumbnail

Random Forest® vs Decision Tree: Key Differences

KDnuggets

Check out this reasoned comparison of 2 critical machine learning algorithms to help you better make an informed decision.

article thumbnail

Introductory Note on Imputation Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. Missing data in your dataset could be due to multiple reasons like 1) The data was not available. 2) The […]. The post Introductory Note on Imputation Techniques appeared first on Analytics Vidhya.

article thumbnail

Machine Learning Technology is Streamlining the Writing Process

Smart Data Collective

Many people appreciate the benefits of artificial intelligence. It has already transformed many sectors, including cybersecurity and manufacturing. However, few people recognize that AI is also becoming an integral part of the writing process. Many college students and marketers are using AI to generate content. A recent study found that the market for AI in the marketing sector is worth over $107 billion.

article thumbnail

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.

article thumbnail

Intelligence and Comprehension

O'Reilly Media

I haven’t written much about AI recently. But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. (It’s well worth reading Do Large Models Understand Us , a more comprehensive paper by Blaise Agüera y Arcas that is heading in the same direction.).

Algorithm 117
article thumbnail

How to Become a Successful Data Science Freelancer in 2022

KDnuggets

In this article, I will walk you through how you can use your data science skills to land freelance gigs.

article thumbnail

Text Cleaning Methods in NLP | Part-2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP. I would recommend if you haven’t read it first read it, which will help you in […]. The post Text Cleaning Methods in NLP | Part-2 appeared first on Analytics Vidhya.

article thumbnail

Benefits of Using AI-Powered Plagiarism Checkers When Writing Academic Papers

Smart Data Collective

There are many ways that artificial intelligence technology developments are influencing academia. One of the most significant changes that AI has introduced is detecting plagiarism more easily. Artificial intelligence is a game-changer in the fight against plagiarized content. AI is an important way to vet content or academic papers. How AI is Radically Changing the Future of Plagiarism Detection.

article thumbnail

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.

article thumbnail

Consolidation Renews the Fight for Independence

Dataversity

They say that history repeats itself, and that those who don’t remember the past are doomed to repeat it. We’re about to see another instance – with regards to consolidation – where these old adages ring true. Years ago, at the start of the cloud revolution, companies began to flee from the idea of a monolithic, […]. The post Consolidation Renews the Fight for Independence appeared first on DATAVERSITY.

article thumbnail

Top Posts Feb 7-13: Decision Tree Algorithm, Explained

KDnuggets

Also: How to Learn Math for Machine Learning; 7 Steps to Mastering Machine Learning with Python in 2022; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 1.

article thumbnail

Pose Detection Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss some of the basic concepts related to Pose Detection. This article will cover a problem of the Computer Vision section of machine learning. In this article, we will gain knowledge of working with Image data and […]. The post Pose Detection Using Computer Vision appeared first on Analytics Vidhya.

article thumbnail

The Right Data Can Help Guide Business Decision Making

Smart Data Collective

Most companies have known for years that big data can be invaluable to their organizations. However, far fewer try to use it effectively. Many don’t have a formal data strategy and even fewer have one that works. According to one study conducted last year, only 13% of companies are effectively delivering on their data strategies. There are a lot of reasons data strategies fail.

Big Data 106
article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

article thumbnail

Calling all DataDevs: Join Tableau at TrailblazerDX 2022

Tableau

Jeff Chen. Product Marketing Manager. Christine Zuniga. February 17, 2022 - 1:40am. February 17, 2022. In 2021, we celebrated our DataDev community with our very first DataDev Day—a virtual forum to connect, learn, and share the amazing work that’s built daily on the Tableau developer platform. This year, we’re bringing the developer community together again on an even larger stage for TrailblazerDX 2022.

Tableau 95
article thumbnail

Octoparse 8.5: Empowering Local Scraping and More

KDnuggets

Octoparse 8.5 is now released with game-changing new features and major improvements.

354
354
article thumbnail

Importance of Data Governance and its Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] What is DATA by Definition? Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Data are a set of values of qualitative or quantitative variables about one or more persons or objects. While running a huge […]. The post Importance of Data Governance and its Principles appeared first on Analytics Vidhya.

article thumbnail

Data Analytics is Fundamental to Next-Gen Marketing for New Businesses

Smart Data Collective

Data analytics has become a very important part of business management. Large corporations all over the world have discovered the wonders of using big data to develop a competitive edge in an increasingly competitive global market. American Express is an example of a company that has used big data to improve its business model. They can now successfully identify 24% of accounts that will close within four months.

Analytics 101
article thumbnail

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.

article thumbnail

What the Hybrid, Multi-Cloud Resurgence Means for the Cloud Landscape

Dataversity

As a result of the global pandemic, flexibility has become critically important to enterprises – and far more common in business operations than ever before. The vast majority of companies have instituted flexible working policies to retain and attract employees; behind the scenes, they have also increasingly adopted cloud services to enable agility during uncertain […].

article thumbnail

From Oracle to Databases for AI: The Evolution of Data Storage

KDnuggets

From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.

Database 268
article thumbnail

Classification without Training Data: Zero-shot Learning Approach

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Computer vision is a field of A.I. that deals with deriving meaningful information from images. Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. These are easy to develop […].

article thumbnail

Blockchain Offers Huge Stability to Bitcoin Autotrading Apps

Smart Data Collective

Blockchain technology has become a very important part of our lives. It is currently being used in virtually every field from finance to copyright enforcement. However, one of the fields most impacted by blockchain is still the one it was originally created for – cryptocurrency trading. Every major cryptocurrency trading platform uses blockchain technology to some degree.

Algorithm 100
article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.