Analytics Vidhya
FEBRUARY 20, 2022
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 […].
David Menninger's Analyst Perspectives
FEBRUARY 24, 2022
Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness.
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Dataiku
FEBRUARY 25, 2022
To get your AI initiatives off the ground, you don’t need to use the fanciest algorithms and machine learning techniques available. You don’t need to find that one, perfect use case. You don’t even need the cleanest and highest-quality datasets (at least, not to start). What you need to succeed with AI is, first and foremost, people.
datapine
FEBRUARY 25, 2022
Table of Contents. 1) What Is A Drill Down? 2) What Is A Drill Through? 3) The Role Of Data Drilling In Reporting. 4) Drill Down & Drill Through Reporting Examples. It is no secret that the business world is becoming more data-driven by the minute. Every day, more and more decision-makers rely on data coming from multiple sources to make informed strategic decisions.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Analytics Vidhya
FEBRUARY 23, 2022
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.
KDnuggets
FEBRUARY 21, 2022
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Dataiku
FEBRUARY 25, 2022
You may have not even noticed, but geospatial data has become an indispensable part of our life. We use maps and GPS trackers almost every day — generating or consuming lots of data with coordinates in one way or another. Therefore, leveraging data science to analyze this data is of interest for many individuals and organizations. Is this the case for you?
Analytics Vidhya
FEBRUARY 22, 2022
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.
KDnuggets
FEBRUARY 24, 2022
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?
Smart Data Collective
FEBRUARY 20, 2022
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.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
Cloudera
FEBRUARY 22, 2022
Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. This unprecedented level of big data workloads hasn’t come without its fair share of challenges.
Analytics Vidhya
FEBRUARY 25, 2022
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.
KDnuggets
FEBRUARY 22, 2022
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.
Smart Data Collective
FEBRUARY 20, 2022
Since databases store companies’ valuable digital assets and corporate secrets, they are on the receiving end of quite a few cyber-attack vectors these days. How can database activity monitoring (DAM) tools help avoid these threats? What are the ties between DAM and data loss prevention (DLP) systems? Does DAM need a user behavior analytics (UBA) module?
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Octopai
FEBRUARY 20, 2022
High-level insights. Low cost. That’s the data dream, right? Deciding to migrate your data from legacy, on-prem databases to a cloud-based data warehouse like Snowflake is often a step in the right direction. But just a step in the right direction won’t get you to the finish line. How you prepare for your Snowflake migration, how you conduct the migration, and how you leverage your new data warehouse post-migration: that’s what will get you to your dreamy data paradise.
Analytics Vidhya
FEBRUARY 21, 2022
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 […].
KDnuggets
FEBRUARY 25, 2022
Learn data analytics by taking the best YouTube courses. These courses will cover data analysis with Python, R, SQL, PowerBI, Tableau, Excel, and SPSS.
Smart Data Collective
FEBRUARY 23, 2022
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.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Octopai
FEBRUARY 21, 2022
Out with the old, in with the new. That means you should leave that old legacy system in the dust and migrate to a brand-spanking-new cloud-based data system as soon as possible, right? Well, maybe. There’s no denying the immense benefits that cloud computing can bring to data management: easier scalability, reduced cost of IT operations, improved performance… the list goes on.
Analytics Vidhya
FEBRUARY 21, 2022
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 […].
KDnuggets
FEBRUARY 25, 2022
This blog post aims to describe the vanishing gradient problem and explain how use of the sigmoid function resulted in it.
Smart Data Collective
FEBRUARY 20, 2022
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.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Boris Evelson
FEBRUARY 23, 2022
Over the last couple of decades, we’ve been observing a seemingly impenetrable barrier: No more than 20% of enterprise decision-makers who could be using business intelligence (BI) applications hands on are doing so. The other 80% still rely on the data and analytics skills of those 20% who do use BI applications. While the majority […].
Analytics Vidhya
FEBRUARY 24, 2022
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.
KDnuggets
FEBRUARY 23, 2022
This article outlines some of the most common design patterns encountered when creating successful Machine Learning solutions.
Smart Data Collective
FEBRUARY 20, 2022
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.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Cloudera
FEBRUARY 23, 2022
The telecommunications industry has been doing well since the pandemic started (not that many would notice). Revenues have remained relatively stable, while consumption has gone up, as virtual engagement has become the primary mode of operations for many businesses (and families!) In the mean-time, digital transformation has been accelerating both as a means to respond to the pandemic, and as a mechanism to drive costs down further, allowing for margin growth.
Analytics Vidhya
FEBRUARY 24, 2022
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 […].
KDnuggets
FEBRUARY 24, 2022
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.
Smart Data Collective
FEBRUARY 24, 2022
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
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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