Sat.Mar 26, 2022 - Fri.Apr 01, 2022

article thumbnail

Machine Learning Pipeline Optimization with TPOT

KDnuggets

Let's revisit the automated machine learning project TPOT, and get back up to speed on using open source AutoML tools on our way to building a fully-automated prediction pipeline.

article thumbnail

A Comprehensive Overview of Sentiment Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We can clearly see that sentiment analysis is getting more and more popular as e-commerce, SaaS solutions, and digital technologies advance. We’ll go through how this works and look at some of the most common corporate applications. We’ll also discuss the analysis’ […].

professionals

Sign Up for our Newsletter

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

article thumbnail

Why data science boot camps are so popular?

Dataconomy

Data science boot camps have become increasingly popular. When you hear “data science,” do you think of spreadsheets and huge numbers? Data science enables us to make sense of all the data we’re accumulating and transform it into action. The area is in high demand. Companies nowadays need data analysis.

article thumbnail

Climate spiral to show temperature change

FlowingData

Say what you will about circular visualization, but the spiral plays. This one from NASA shows global temperature change over time : The visualization presents monthly global temperature anomalies between the years 1880-2021. These temperatures are based on the GISS Surface Temperature Analysis (GISTEMP v4), an estimate of global surface temperature change.

143
143
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

Top 13 Skills That Every Data Scientist Should Have

KDnuggets

Let me walk you through the top 13 data science skills that you should have to become a successful data scientist. Following this outline, you’ll have a great path of digestible steps to educate yourself and be prepared to apply for data scientist positions.

article thumbnail

Object Detection Using Haar Cascade: OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss how to implement a haar cascade for object detection in OpenCV. In the last article, we discussed real-time object classification, if you haven’t read it yet, the link is here. Source: Link Identifying a custom object […]. The post Object Detection Using Haar Cascade: OpenCV appeared first on Analytics Vidhya.

More Trending

article thumbnail

8 Steps to Leveraging Analytics to Create Successful Ecommerce Stores

Smart Data Collective

Analytics technology is taking the ecommerce industry by storm. Ecommerce companies are expected to spend over $24 billion on analytics in 2025. While there is no debating the huge benefits that analytics technology brings to the ecommerce sector , many experts are pondering what those actual benefits are. New ecommerce startups are discovering interesting ways to utilize analytics.

Analytics 114
article thumbnail

8 Free MIT Courses to Learn Data Science Online

KDnuggets

Create a data science learning path with courses from the world’s most prestigious university.

article thumbnail

Blink Detection Application Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn how to make a real-time blink detector application using computer vision. Also, we will be using more libraries and mathematics to build such an application while going through a complete pipeline and code-by-code analysis. […].

article thumbnail

Best ERP solutions: Why should small enterprises use ERP software?

Dataconomy

In this article, we are listing the 5 best ERP software for small business enterprises. We’ve already handled “What is ERP?” but a quick rundown, Enterprise Risk Management (ERM) is a company-wide strategy to identify and prepare for risks, especially those related to the company’s finances, operations, and goals. How.

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

1950 Census released by U.S. National Archives

FlowingData

For privacy reasons, there’s a 72-year restriction on individual Census records, which include names and addresses. It’s 72 years today since the release of the 1950 Census. The scanned paper records are available for browsing and downloading. Tags: archive , census , history.

106
106
article thumbnail

A Bug That Can Make You a Data Science Hero

KDnuggets

What if I tell you that there is a bug that can take you on a ride in the world of data science. Yes, if you have the bug of curiosity, consider yourself the best fit for the data science profession.

article thumbnail

How to Convert Jupyter Notebook into ML Web App?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Jupyter Notebook is a web-based interactive computing platform that many data scientists use for data wrangling, data visualization, and prototyping of their Machine Learning models. It is easy to use the platform, and we can do programming in many languages like Python, Julia, R, etc. […].

ML 357
article thumbnail

EGRC 101: Enterprise governance, risk management, and compliance

Dataconomy

Enterprise governance, risk, and compliance (EGRC) is a strategy for governing an organization’s overall governance, enterprise risk management, and regulatory compliance. Governance, risk, and compliance (GRC) is both a more strategic and, in some respects, more tactical approach to integrating IT with company goals. Consider it a method for aligning.

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

Pros and Cons of Having a Data-Driven eCommerce Business on Amazon

Smart Data Collective

There are many ways that you can use big data to create a profitable business. One of the smartest ways for entrepreneurs to utilize data is by creating an ecommerce business. You can run a profitable ecommerce business through Amazon. SellerApp author Dilip Vamanan wrote a great article on the merits of using data analytics as an Amazon seller. However, you might want to also consider other ecommerce platforms for your data-driven ecommerce business.

Big Data 106
article thumbnail

Time Series Forecasting with Ploomber, Arima, Python, and Slurm

KDnuggets

In this blog you will see how the authors took a raw.ipynb notebook that does time series forecasting with Arima, modularized it into a Ploomber pipeline, and ran parallel jobs on Slurm.

Python 271
article thumbnail

Ways to Transition into Data Science: Fresh Graduates and Experienced Professionals up to 5 years

Analytics Vidhya

Introduction Data Science is becoming one of the most lucrative sectors that professionals want to switch to from other domains. It is the same for freshers as well, with a growing number of fresh graduates wishing to join various professions that come under Data Science. However, there is a major problem that both candidates and […]. The post Ways to Transition into Data Science: Fresh Graduates and Experienced Professionals up to 5 years appeared first on Analytics Vidhya.

article thumbnail

Nvidia’s GTC 2022 shows how data science is crucial for future technologies

Dataconomy

This week, Nvidia laid out its strategy for moving forward with the next generation of computing. Nvidia Graphics Technology Conference (GTC) saw CEO Jensen Huang reveal a variety of technologies that he claims will power the future wave of AI and virtual reality worlds.

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

Use AI to Get the Most Out of Your Social Media Marketing Strategy

Smart Data Collective

AI technology has become a very important part of modern business. More companies are using AI to automate a number of aspects of their operations and improve their ROI. One study from Accenture found that AI increases the profitability of the average business by 38%. One of the biggest benefits of AI technology is in the realm of marketing. You can use AI to automate many parts of your marketing strategy.

AI 104
article thumbnail

Connect With the Data Science Community at Rev 3 in NYC, the #1 MLOps Conference

KDnuggets

The most ambitious Enterprise MLOps conference is coming to New York City on May 5-6, bringing the data science community together in-person for a one-of-a-kind event. This year, you’ll hear from 30+ speakers across dozens of industries. Save 50% with the promo code KDN. Register now!

article thumbnail

Predicting Possible Loan Default Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A loan default occurs when a borrower takes money from a bank and does not repay the loan. People often default on loans due to various reasons. Borrowers who default on loans not only damage their credit but also risk being sued […]. The post Predicting Possible Loan Default Using Machine Learning appeared first on Analytics Vidhya.

article thumbnail

What role does aggregate data play in a business’s success?

Dataconomy

Large-scale data gathering has numerous benefits for many sectors, including business intelligence and research. Large-scale data collection can provide essential insights for businesses, academics, and governments. Analysts employ various techniques to aggregate data to develop predictions, assess processes, and influence decisions. This post will go over what aggregate data is.

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

Social Analytics Tools Are Crucial for Successful Instagram Marketing

Smart Data Collective

Analytics-driven businesses need to be prudent about investing in the right technology. This is especially true when they are trying to come up with a sensible marketing strategy. Social analytics is a very important part of marketing. You can use social analytics tools to create an effective marketing campaign on Instagram, Facebook or other social media platforms.

Analytics 102
article thumbnail

Machine Learning Textbook: Stochastic Processes and Simulations

KDnuggets

The 100 page book on stochastic processes. Published in 2022. This off-the-beaten-path machine learning tutorial is designed for busy professionals, researchers and students eager to learn and apply methods ranging from simple to advanced, in a minimum amount of time. Offered with data sets, source code, videos, spreadsheets and solved exercises.

article thumbnail

An Overview and Applications of Artificial Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how the human brain functions? There’s a good possibility you learned about it in school. The function of ANN is the same as that of neurons in the human nervous system. Let’s get this Artificial Neural Networks lesson started. […].

article thumbnail

The role of servers in traditional programming architecture 

Dataconomy

A server computer is a device or software that runs services to meet the needs of other computers, known as clients. Depending on the situation, a server program may operate on either a physical computer or a virtual machine. However, the actual computer on which the software is installed in.

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

Important Considerations When Migrating to a Data Lake

Smart Data Collective

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. It is rapidly becoming the primary choice for companies and developers due to its superior performance. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses.

article thumbnail

Loss Functions: An Explainer

KDnuggets

A loss function measures how wrong the model is in terms of its ability to estimate the relationship between x and y. Find out about several common loss functions here.

article thumbnail

How Data will Shape Metaverse?

Analytics Vidhya

Introduction The concept of a metaverse offers an inclusive digital world that empowers online interaction with other people or platforms. For instance, rather than just talking to someone over a voice call or through texting, you can use your digital avatars to take a walk with your friend while chatting or even have some coffee […]. The post How Data will Shape Metaverse?

Analytics 261
article thumbnail

Where do data silos come from, and why are they a problem?

Dataconomy

Times are changing. We are breaking new thresholds in managing data. But getting rid of old habits is easier said than done. Data silos, an institutional phenomenon, are still mushrooming in today’s increasingly connected and shared world focused on accessibility. Top companies are now busy breaking down data silos to.

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.