December, 2021

8 analytics startups to watch over the next year

DataKitchen

The post 8 analytics startups to watch over the next year first appeared on DataKitchen. News News / PR

A Comprehensive Guide on Deep learning for Computer vision

Analytics Vidhya

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.

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Blockchain as a Solution for Healthcare Industry in the Covid-19 Era

DataFloq

In order to understand the interest of blockchain technology in the healthcare sector, it is important to understand the characteristics that differentiate it from current tools for sharing and managing data. First of all, blockchain is a decentralised technology.

5 ways to achieve financial process automation

Phocas

Many finance teams are at various stages along the automation journey, and others are yet to fulfil all their aspirations for their data. business intelligence basics finance IT executive dynamic reporting data analytics data visualizations culture

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

Isn’t it time community speakers were all treated reasonably and equally by organizers?

Jen Stirrup

TL; DR Yes. Let me tell you about the second-worst conference experience I’ve ever had as a speaker. The worst experience happened a few years ago and it is at the foot of the post so you will have to read down – note, it does have a trigger warning.

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6 Predictive Models Every Beginner Data Scientist Should Master

KDnuggets

Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist?

More Trending

Creating ChatBot Using Natural Language Processing in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service?

With Justin Sun, The WTO Now Has a Blockchain Founder as Ambassador

DataFloq

Web 3.0 is one of the latest buzzwords in the tech world. It is an umbrella term representing the different ideas and developments that will see the internet users gain some power from big players that have largely monopolized the internet. The term also represents the scale-up from Web 1.0

Why driver-based planning is important for modern FP&A

Phocas

Success in today’s rapidly shifting economy depends on a lot of external and internal factors. BI basics finance financial statements dynamic reporting data analytics

Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

Datapine Blog

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?

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Top Resources for Learning Statistics for Data Science

KDnuggets

Let’s take a look at the current state of statistics in data science, and what you can do to accelerate your learning. 2021 Dec Products, Services Courses Data Science Springboard Statistics

Reducing The Cost Of Failure With DataOps

DataKitchen

The post Reducing The Cost Of Failure With DataOps first appeared on DataKitchen. News / PR

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How do Neural Networks really work?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article.

Transformations of Artificial Intelligence in Human Resources

DataFloq

Artificial Intelligence (AI) is rapidly changing lives in a better and bigger way than ever before. Sometimes, one doesn’t realize it when a new AI-powered system, tool, or product appears and outperforms the tasks that are done by humans.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

Phocas Software is one of first 100 members of the Tech Council of Australia

Phocas

The Tech Council of Australia is a brand-new peak body that represents Australia’s tech companies – big and small. IT reviews and recognition executive data analytics BI software culture budgeting and forecasting

Hybrid Tables, Incremental Refresh and Table Partitioning in Power BI

Paul Turley

The December 2021 Power BI Desktop update introduced a long-awaited upgrade to the partitioning and Incremental Refresh feature set.

Building a solid data team

KDnuggets

How do you put together a solid data science team when it comes to developing data-driven products? A variety of roles are available to consider, so which ones do you need and which are most crucial?

DataKitchen’s Best of 2021 DataOps Resources

DataKitchen

Before we shut the door on 2021, we would like to share our most popular DataOps content in hopes that it can help you as you learn about and implement DataOps. We hope you and your family have happy holidays and we look forward to continuing your DataOps journey with you in the new year.

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

Artificial Intelligence (AI): The Ultimate Solution in Agriculture

Analytics Vidhya

This article was published as a part of the Data Science Blogathon In this world, Agriculture and farming are some of the oldest professions. As the population grows high, the need to grow and yield more, better crops and the best quality also increases.

Taking Low-Code to the Next Level

DataFloq

A significant amount of both media attention and venture capital money has recently been given to low-code and no-code tools that focus on the areas of analytics, data science, and artificial intelligence.

How To Use Data For Smarter Business Decisions

Smart Data Collective

Big data technology has become an invaluable asset to so many organizations around the world. There are a lot of benefits of utilizing data technology, such as improving financial reporting, forecasting marketing trends and efficient human resource allocation.

Cloudera Response to CVE-2021-44228

Cloudera

Summary. On December 10th 2021, the Apache Software Foundation released version 2.15.0 of the Log4j Java logging library, fixing CVE-2021-44228 , a remote code execution vulnerability affecting Log4j 2.0-2.14.

Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022

KDnuggets

This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value. 2021 Dec Tutorials, Overviews Data Science Deployment Project

2021 Gift Giving Guide for Data Nerds

DataKitchen

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Here are eight highly recommendable books to help you find that special gift. ?? ?? ???.

A Guide on Deep Learning: From Basics to Advanced Concepts

Analytics Vidhya

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!

How To Leverage Data from OKRs Effectively To Drive Business Results

DataFloq

As enterprises grow, they often find it challenging to keep their teams aligned with the proper responsibilities, duties, and powers. The only way to deal with this dilemma is to provide adequate support to all team members as they find their pacing.

The Retailer’s Guide to Marketing Data

Retailers are faced with extraordinary challenges – from changing consumer needs to unpredictable twists & turns in the economy. Learn how innovative retailers use zero-, first-, second-, and third-party data to find their best customers and drive repeat purchases.

Startups Must Take Advantage of Big Data to Gain a Competitive Edge

Smart Data Collective

Startups need to take advantage of the latest technology in order to remain competitive. Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge.

New Format for The Bar Chart Reference Page

The Data Visualisation Catalogue

To demonstrate the potential new content structure being implemented on an existing visualisation reference page, here’s an example provided for Bar Charts : Bar Chart. Other names: Bar Graph, Bar Plot. Functions: Comparisons, Rankings Encodings: Length. Description.

A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment

KDnuggets

How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment. 2021 Dec Tutorials, Overviews Deployment Machine Learning Microsoft Azure Production Python scikit-learn

What is embedded analytics, and how does it benefit BI?

DataKitchen

The post What is embedded analytics, and how does it benefit BI? first appeared on DataKitchen. News News / PR

IT 206

Implementing Supply Chain Network Design

Companies want to maximize service levels, but they also want to cut costs. These goals are often at odds with one another. How do you find the optimum balance? This guide offers hands-on advice that will help you use network design to achieve successful results.