KDnuggets

DECEMBER 29, 2021

It's time to learn: machine learning is not a Swiss Army knife.

Machine Learning 160

Machine Learning IT 160

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?

Cost-Benefit 98

Cost-Benefit Machine Learning Data Science Enterprise 98

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.

Deep Learning 392

Deep Learning Data Science Publishing Analytics 392

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.

Reporting 137

Reporting Modeling Management Analytics 137

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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.

Technology 157

Technology Machine Learning 157

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.

Big Data 112

Big Data Machine Learning Data-driven Marketing 112

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.

Uncertainty 96

Uncertainty Sales Strategy Enterprise 96

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.

157

157

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.

Digital Transformation 95

Digital Transformation Finance Machine Learning Forecasting 95

Analytics Vidhya

DECEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Overview This Pokemon will analyze the pokemon dataset and predict whether the Pokemon is legendary based on the features provided. We will discuss everything from scratch; we will go from CSV to model building with line by line explanation of code. Let’s get started. Image […].

Data Science 392

Data Science Publishing Modeling Analytics 392

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

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.

Business Intelligence 69

Business Intelligence Big Data Risk Management 69

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.

Data Science 159

Data Science 159

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.

52

52

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. […].

Data Science 371

Data Science Publishing Technology Analytics 371

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Data-driven

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.

Modeling 59

Modeling 59

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.

IT 155

IT 155

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).

Modeling 52

Modeling Visualization Data Science Forecasting 52

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.

Data Science 360

Data Science Publishing Analytics 360

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IT

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.

Risk 59

Risk Risk Management Data-driven Modeling 59

KDnuggets

DECEMBER 27, 2021

Learn how to improve ML reproducibility by treating experiments as code.

Machine Learning 157

Machine Learning Experimentation 157

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.

Big Data 130

Big Data Marketing Data mining Data-driven 130

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.

Data Science 357

Data Science Publishing Technology Analytics 357

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

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.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

KDnuggets

DECEMBER 28, 2021

Check out these one-liner interactive visualization with Pandas in Python.

Interactive 154

Interactive Visualization 154

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.

Publishing 136

Publishing Visualization Marketing Statistics 136

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!

Data Science 353

Data Science Optimization Publishing Analytics 353

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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

Strategy

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.

KPI 52

KPI Metrics Dashboards Key Performance Indicator 52

KDnuggets

DECEMBER 30, 2021

Avoid headaches when debugging in one line of code.

Visualization 160

Visualization 160

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.

Statistics 363

Statistics Advertising Visualization Data mining 363

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 […].

Machine Learning 351

Machine Learning Data Science Publishing Modeling 351

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

Customer Analytics