4 Reasons Why You Shouldn’t Use Machine Learning
KDnuggets
DECEMBER 29, 2021
It's time to learn: machine learning is not a Swiss Army knife.
KDnuggets
DECEMBER 29, 2021
It's time to learn: machine learning is not a Swiss Army knife.
Dataiku
DECEMBER 27, 2021
While it is data executives who ultimately purchase a data science and machine learning platform to help teams deliver business value, they are unlikely to be day-to-day users. The users, typically more technical data practitioners, are the ones who deliver use cases and generate tangible value from the platform, justifying its cost. So what exactly are the benefits of using a platform for these users?
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
DECEMBER 29, 2021
This article was published as a part of the Data Science Blogathon Welcome to my guide! In this guide, we will cover basic as well as advanced topics involved in Deep Learning. This guide will help you in gaining confidence in the concepts of Deep Learning. So let’s begin with our journey! Why do we need […]. The post A Guide on Deep Learning: From Basics to Advanced Concepts appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 29, 2021
Big data has become a very important part of modern business. Companies are using big data technology to improve their human resources, financial management and marketing strategies. Digital marketing , in particular, is very dependent on big data. Companies are expected to spend over $5 billion on big data marketing services in 2026. One of the most important big data applications in marketing is with SEO.
Advertisement
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
KDnuggets
DECEMBER 30, 2021
Avoid headaches when debugging in one line of code.
Paul Turley
DECEMBER 27, 2021
The December 2021 Power BI Desktop update introduced a long-awaited upgrade to the partitioning and Incremental Refresh feature set. The update introduces Hybrid Tables, a new Premium feature that combines the advantages of in-memory Import Mode storage with real-time DirectQuery data access; this is a big step forward for large model management and real-time analytic reporting.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
The Data Visualisation Catalogue
DECEMBER 29, 2021
Many of us in the western data visualisation community may think of data visualisation as a field that primarily emerged out of the West. If you were to name key historical practitioners of data visualisation, likely, the names Charles Joseph Minard , Florence Nightingale , William Playfair or Charles Dupin come to mind. But you’re unlikely to know that the Japanese have been using charts since the 1800s to aid in market trading.
KDnuggets
DECEMBER 30, 2021
This list of best data science companies aims to go beyond the usual and expected. Some great and perhaps underrated options to get a job as a data scientist.
Smart Data Collective
DECEMBER 28, 2021
Big data is playing a massive role in countless industries. It is changing the landscape of commerce as we know it. As we pointed out in the past, it is the key to business growth. We recently interviewed many entrepreneurs to understand their big data priorities. One of the most significant benefits is with office productivity. Many offices are using big data to lift productivity.
Analytics Vidhya
DECEMBER 28, 2021
This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications. In this guide, we will explore how […].
Advertisement
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?
Jedox
DECEMBER 28, 2021
According to Gartner, 70% of new financial planning and analysis (FP&A) projects are slated to become extended planning and analysis (xP&A) projects by 2024. In other words, the Office of Finance will increase its collaboration with rest of the enterprise through new tools and more efficient processes that allow for better cross-departmental data management.
KDnuggets
DECEMBER 29, 2021
AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.
CDW Research Hub
DECEMBER 28, 2021
Sirius, a CDW company, is proud to announce its selection by F5 as Transformation Partner of the Year, North America for 2021. F5 presents this annual award to the partner that best exemplifies alignment with F5’s strategies and success in driving new business through collaboration. Sirius received this prestigious recognition based on performance throughout the year as a catalyst to growth.
Analytics Vidhya
DECEMBER 27, 2021
This article was published as a part of the Data Science Blogathon Introduction A news article discusses current or recent news of either general interest (i.e. daily newspapers) or on a specific topic (i.e. political or trade news magazines, club newsletters, or technology news websites). A news article can include accounts of eyewitnesses to the happening event. […].
Advertisement
📌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.
Dataiku
DECEMBER 29, 2021
Many organizations believe that they need to have all their data ducks lined up before they attempt AI analytics. They believe they need to have conquered traditional or business intelligence (BI) analytics first, including data catalogs, data lineage, master data management, big data, etc. before planning for AI. While this conventional thinking has merits, it results in high opportunity costs and carries risks.
KDnuggets
DECEMBER 28, 2021
Continue your learning journey in Reinforcement Learning with this second of two part tutorial that covers the foundations of the technique with examples and Python code.
FineReport
DECEMBER 27, 2021
Introduction. Modern enterprise business intelligence (BI) tools and practices enable quick decision making. Indeed, Early action on insights allows businesses to identify internal trends and improve inefficiencies. Dashboards and visualizations are the primary user interfaces of many tools and platforms. Furthermore, It is important to note that the advantages of business intelligence vary by industry and application.
Analytics Vidhya
DECEMBER 30, 2021
This article was published as a part of the Data Science Blogathon Introduction In 2018, a powerful Transformer-based machine learning model, namely, BERT was developed by Jacob Devlin and his colleagues from Google for NLP applications. BERT is a very good pre-trained language model which helps machines learn excellent representations of text wrt context in many natural […].
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.
Dataiku
DECEMBER 30, 2021
Dataiku 10 builds on core strengths related to model deployment and experiment tracking to bring additional tools to ML operators maintaining live models in production. Here, we'll highlight three key features that help make their job easier.
KDnuggets
DECEMBER 31, 2021
In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.
FineReport
DECEMBER 29, 2021
Introduction. As technology advances, the use of data-driven dashboards is becoming increasingly important. Metrics dashboards enable you and your team to track the effectiveness of various tactics, campaigns, and processes. As a result, they allow you to improve your plans and act on the data in real-time. These KPI metrics are critical data to analyze and evaluate a company’s sales, human resources, and marketing, and operational activities.
Analytics Vidhya
DECEMBER 30, 2021
This article was published as a part of the Data Science Blogathon. Introduction As we all know, OpenCV is a free open source library used for computer vision and image operations. OpenCV is written in C++ and has thousands of optimized algorithms and functions for various image operations. A lot of real-life operations can be solved […]. The post Image Operations in Python with OpenCV: Eroding, Dilation, and more!
Advertisement
Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Dataiku
DECEMBER 28, 2021
As the everyday use of AI grows across many industries, organizations are experiencing a shift in the culture around data-driven decision making. However, the use of AI, like any other technology, comes with a certain amount of risk. Effectively implemented oversight, management, and clear, value-driven organizational priorities are therefore crucial for safe scaling.
KDnuggets
DECEMBER 27, 2021
Learn how to improve ML reproducibility by treating experiments as code.
Teradata
DECEMBER 28, 2021
What we've learned during the pandemic and through almost two years of unprecedented supply chain disruptions will have great impact on the future of supply chain as we enter 2022.
Analytics Vidhya
DECEMBER 30, 2021
This article was published as a part of the Data Science Blogathon Source: huggingface.io Hey Folks! […]. The post Manual for the First Time Users: Google BERT for Text Classification appeared first on Analytics Vidhya.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
DataRobot
DECEMBER 28, 2021
People continue to be our most critical asset. The market is changing every day, and the ability to make more decisions, faster, creates a significant difference for each organization. Yes, data created over the next three years will far exceed the amount created over the past 30 years ( Source : IDC Worldwide Global DataSphere Forecast, 2020-2024).
KDnuggets
DECEMBER 28, 2021
Check out these one-liner interactive visualization with Pandas in Python.
datapine
DECEMBER 28, 2021
Table of Contents. 1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? Statistical analyses have historically been a stalwart of the high-tech and advanced business industries, and today they are more important than ever.
Analytics Vidhya
DECEMBER 30, 2021
This article was published as a part of the Data Science Blogathon Introduction In this fastest era of technology, it is very difficult to stop every vehicle on the road and check its number plate in the search for one criminal car. With the increase in road fraud, the cops are also becoming smarter. They […]. The post Computer Vision to Detect License Number Plate appeared first on Analytics Vidhya.
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.
Let's personalize your content