Sat.Feb 19, 2022 - Fri.Feb 25, 2022

article thumbnail

Essential Machine Learning Algorithms: A Beginner’s Guide

KDnuggets

Machine Learning as a technology, ensures that our current gadgets and their software get smarter by the day. Here are the algorithms that you ought to know about to understand Machine Learning’s varied and extensive functionalities and their effectiveness.

article thumbnail

Learn Mobile Price Prediction Through Four Classification Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Mobile phones come in all sorts of prices, features, specifications and all. Price estimation and prediction is an important part of consumer strategy. Deciding on the correct price of a product is very important for the market success of a product. A new […]. The post Learn Mobile Price Prediction Through Four Classification Algorithms appeared first on Analytics Vidhya.

Algorithm 381
professionals

Sign Up for our Newsletter

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

article thumbnail

Enterprise data sovereignty is the latest trend, so what is it?

Dataconomy

Data sovereignty is becoming a hot topic, but almost all articles on the subject and the bulk of the proposed solutions focus on consumers and their ability to own their data. Enterprise data sovereignty is a different beast, but it operates on the same principle – making data “free.” By free, we.

Big Data 218
article thumbnail

6 Metrics Data-Driven eCommerce Startups Are Prioritizing

Smart Data Collective

Big data has been changing the state of business for years. More companies than ever are shifting towards digital business models. They are finding new ways to leverage data analytics and AI technology to maximize their ROI. E-commerce startups are investing most heavily in big data, which is why the e-commerce analytics market will be worth over $22 billion by 2025.

Big Data 127
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

The Complete Collection of Data Science Cheat Sheets – Part 2

KDnuggets

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

article thumbnail

Comparing R and Tableau for Data Visualisation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. There has been a debate in the industry between R and Tableau. Which is better is the question. Let us see this in today’s article. Source – Author What is Data Visualization? Data visualization is an interdisciplinary field that uses visual elements […]. The post Comparing R and Tableau for Data Visualisation appeared first on Analytics Vidhya.

Tableau 381

More Trending

article thumbnail

The Cloud is Disrupting Project Management in the Construction Industry

Smart Data Collective

Cloud technology is becoming more important in almost every industry. Global companies are projected to spend over $947 billion on cloud computing services by 2026. More industries are scaling their investment in cloud services as they realize its many benefits. The construction sector is no exception. There are many reasons the cloud is disrupting the construction sector.

article thumbnail

What Is the Difference Between SQL and Object-Relational Mapping (ORM)?

KDnuggets

Object-relational mapping, or ORM, is a technique that allows you to interact with databases using the object-oriented paradigm of the programming language of your choosing. How is that different from structured query language, though, and when do you use them?

SQL 361
article thumbnail

Search Engines Using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. An end-to-end guide on building Information Retrieval system using NLP […]. The post Search Engines Using Deep Learning appeared first on Analytics Vidhya.

article thumbnail

Many Ukraine maps

FlowingData

There are many maps trying to show what is happening in Ukraine right now. Lisa Charlotte Muth is keeping a running thread. Tags: invasion , Lisa Charlotte Muth , Russia , Ukraine.

111
111
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

10 Things AWS Can Do for Your SaaS Company

Smart Data Collective

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies. Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company.

AWS 113
article thumbnail

Vanishing Gradient Problem, Explained

KDnuggets

This blog post aims to describe the vanishing gradient problem and explain how use of the sigmoid function resulted in it.

article thumbnail

A Comprehensive Guide on Hyperparameter Tuning and its Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image designed by the author – Shanthababu Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). Make it simple, for every […].

article thumbnail

Announcing the 2022 Tableau Visionaries

Tableau

Britt Staniar. Senior Community Program Manager, Recognition Programs. Alyssa Jenson. February 22, 2022 - 9:03pm. March 9, 2022. It’s our privilege to announce the 2022 Tableau Visionaries—a new title replacing Zen Master—honoring the Tableau Community’s most distinguished leaders. This group of 45 members inspires us by sharing their mastery, teaching, and collaboration to make Tableau better for everyone.

Tableau 98
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

10 Ways Organizations Can Prepare for Changes Brought on by the IoT

Smart Data Collective

The Internet of Things is becoming a big deal for people in countless professions. It is projected that there will be over 75 billion IoT devices by the year 2025. The IoT is creating a lot of new changes that we have to prepare for. There are many benefits of living in a much more connected world. However, the IoT is also driving a number of new challenges as well.

article thumbnail

Top 7 YouTube Courses on Data Analytics

KDnuggets

Learn data analytics by taking the best YouTube courses. These courses will cover data analysis with Python, R, SQL, PowerBI, Tableau, Excel, and SPSS.

Analytics 352
article thumbnail

Emotions Using NLP | Based on Classifying Text

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Emotions are expressed through words, gestures, expressions, and with the ease of accessibility of social media today, emotions can now, also be expressed through tweets and Instagram/ WhatsApp stories. Through this article, we would try to analyze the underlying emotions of tweets posted […].

article thumbnail

Announcing the 2022 Tableau Visionaries

Tableau

Britt Staniar. Senior Community Program Manager, Recognition Programs. Alyssa Jenson. February 22, 2022 - 9:03pm. March 9, 2022. It’s our privilege to announce the 2022 Tableau Visionaries—a new title replacing Zen Master—honoring the Tableau Community’s most distinguished leaders. This group of 45 members inspires us by sharing their mastery, teaching, and collaboration to make Tableau better for everyone.

Tableau 98
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

6 Tremendous Benefits of Big Data for Financial Management

Smart Data Collective

More companies are investing in big data than ever these days. Unfortunately, many companies still don’t appreciate the benefits that it provides. One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading.

Big Data 110
article thumbnail

Design Patterns in Machine Learning for MLOps

KDnuggets

This article outlines some of the most common design patterns encountered when creating successful Machine Learning solutions.

article thumbnail

Building ML Model in AWS Sagemaker

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image: [link] Introduction Artificial Intelligence & Machine learning is the most exciting and disruptive area in the current era. AI/ML has become an integral part of research and innovations. The main objective of the AI system is to solve real-world problems where […].

AWS 308
article thumbnail

Forthcoming AI Regulation Makes Data Management Imperative

Dataversity

Although algorithmic decision-making has become increasingly vital for many businesses, there are growing concerns related to transparency and fairness. To put it mildly, the concern is warranted. Not only has there been documentation of racial bias in facial recognition systems, but algorithmic decision-making has also played a role in denying minorities home loans, prioritizing men during hiring, […].

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

How Data Analytics Helps Understand Customers During the Onboarding Process

Smart Data Collective

It’s no secret that the key to having a successful onboarding process is data. All information you collect from people who admire your products and services represents the core of marketing & sales. Hence, data analytics is the main basis for product management decisions. The more information you can gather about people’s misunderstandings and struggles they often go through, the better it’ll be for optimizing the processes and interface within your product or strengthening

Analytics 107
article thumbnail

PyTorch or TensorFlow? Comparing popular Machine Learning frameworks

KDnuggets

Machine Learning with PyTorch and Scikit-learn is the PyTorch book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.

article thumbnail

Color Picker Application Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making a very interesting application i.e. Color picker which have many use cases but the main use case of this application is that it can be widely used by UI/UX designer who has to pick the […]. The post Color Picker Application Using Computer Vision appeared first on Analytics Vidhya.

article thumbnail

Open Source and Security: How Can We Improve?

Dataversity

Over the past few months, the open-source community has seen several critical events that have led to big questions about the security and safety of open-source software. How can we evaluate what is currently taking place around open-source projects and security, how can we make these projects more sustainable, and what should we do in […]. The post Open Source and Security: How Can We Improve?

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

Testing New AI Applications is Crucial Before Bringing them to Market

Smart Data Collective

AI technology has changed many aspects of our lives. However, it is not without its own limits and challenges. A recent news article written by Kevin Dallas in The Hill talked about some of the ethical issues associated with AI. The truth is that AI technology must be properly designed and used responsibly. This includes developing AI software. Creating a new software application with complex AI algorithms is a very time and resource-intensive process.

AI 104
article thumbnail

The Challenges of Being a Data Scientist

KDnuggets

According to a Stack Overflow survey, 13.2% of the data scientists are looking for a new job, as they are not satisfied in their current role. So why is this happening? What are the challenges Data Scientists are facing?

article thumbnail

Deep Learning vs Machine Learning for Regression

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is the subfield of machine learning which uses a set of neurons organized in layers. A deep learning model consists of three layers: the input layer, the output layer, and the hidden layers. Deep learning offers several advantages over popular machine […].

article thumbnail

Map of invasion in Ukraine

FlowingData

This map by Henry Foy and Steven Bernard for Financial Times shows a timeline of Russian military presence. The gray squares represent a presence as of February 20, red diamonds represent a presence four days later, and bang symbols represent reported attacks. Tags: Financial Times , Russia , Ukraine , war.

95
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.