DataKitchen

DECEMBER 13, 2021

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

Analytics 312

Analytics 312

KDnuggets

DECEMBER 14, 2021

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

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Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon + Image 1 Overview This article will support data scientists in furthering their studies on artificial neural networks so that they can develop applications for professional use. We introduce the concept of ANN, from the Perceptron device, we conceptualize input neurons, functions, and activation […].

Data Science 397

Data Science Publishing Analytics Deep Learning 397

Jen Stirrup

DECEMBER 14, 2021

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. Speakers from diverse backgrounds want equality not preferential treatment. Let me explain a scenario and let me make it clear that I’m not asking for preferential treatment.

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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.

Experimentation

DataKitchen

DECEMBER 13, 2021

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. Without further ado, here are DataKitchen’s top ten blog posts, top five white papers, and top five webinars from 2021.

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KDnuggets

DECEMBER 17, 2021

What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

Data Analytics 159

Data Analytics Analytics Deep Learning 159

Smart Data Collective

DECEMBER 13, 2021

Big data has become a highly invaluable aspect of modern business. More companies are using sophisticated data analytics and AI tools to overhaul their business models. Some industries have become more dependent on big data than others. The e-commerce sector has been one of the most affected by major advances in data technology. Smart e-commerce entrepreneurs are utilizing big data to address many of the problems they are facing.

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Data-driven Marketing Strategy Big Data 132

Cloudera

DECEMBER 13, 2021

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. An attacker can use this vulnerability to instruct affected systems to download and execute a malicious payload through submitting a custom-crafted request.

Software 129

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KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.

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Machine Learning Marketing Data Science Data mining 154

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction In the past few years, Natural language processing has evolved a lot using deep neural networks. Many state-of-the-art models are built on deep neural networks. BERT (Bidirectional Encoder Representations from Transformers) is a very recent work published by Google AI Language researchers.

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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

Smart Data Collective

DECEMBER 17, 2021

Big data has become invaluable to many businesses around the country. A growing number of business owners are investing in data-driven marketing strategies. One of the biggest ways that big data can help your business reach more customers is through SEO. Earlier this summer, we talked about the approaches to data-driven SEO. However, there are a lot of benefits from the business side that you have to understand as well.

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The Data Visualisation Catalogue

DECEMBER 13, 2021

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 graph that displays a series of bars plotted on a common axis, whose lengths are proportional to the values they each represent.

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Visualization Experimentation Publishing Interactive 122

KDnuggets

DECEMBER 16, 2021

Learn how one data scientist increased their full-time job salary 14 times in 14 years of a career, with highlights on experiencing an IPO, RSUs, start-ups and working at FAANG companies.

Data Analytics 154

Data Analytics Analytics 154

Analytics Vidhya

DECEMBER 15, 2021

Introduction While we bid adieu to 2021, one should not fail to acknowledge the fact that it was another crazy year in the history of humanity. We all aged simultaneously with a never-ending pandemic turning up with new variants every now and then. Coming to data science, 2021 was a very incremental year for this […]. The post A Review of 2021 and Trends in 2022 – A Technical Overview of the Data Industry!

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Data Science Analytics Deep Learning IT 351

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 14, 2021

Besides preparing our anticipated AI trends for the upcoming year, annually in Q4 we also take time to reflect on the year we had internally at Dataiku — what we accomplished and what we aim to tackle in the new year. At just about this time last year — December 17 to be exact — we were celebrating our 500 employee milestone and looking back on how the company adjusted to going fully remote amidst the onset of the global health crisis.

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Smart Data Collective

DECEMBER 14, 2021

Collecting data is a necessary step that companies must take to reach their desired standards or keep from declining in quality. Not only that, but the product or service primarily influences the public’s perception of a brand that they offer, so gathering the data that will inform them of customers’ level of satisfaction is extremely important. But what ways should be used to do so?

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Data Collection Statistics Data-driven Marketing Analytics 119

KDnuggets

DECEMBER 17, 2021

How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.

Machine Learning 158

Machine Learning 158

Analytics Vidhya

DECEMBER 13, 2021

Introduction 2021 is a year that proved nothing is better than a Proof of Work to evaluate any candidate’s worth, initiative, and skill. Pursuing any data science project will help you polish your resume. These projects will not only deepen an understanding of the concepts but also, help you gain some practical experience in the […]. The post Top Data Science Projects to add to your Portfolio in 2021 appeared first on Analytics Vidhya.

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IT

Cloudera

DECEMBER 14, 2021

Artificial Intelligence (AI) has revolutionized how various industries operate in recent years. But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . The category “Data for Enterprise AI” awards companies from around the world that have built and deployed use cases for enterprise-scale machine learning and have in

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Data Lake Machine Learning Big Data Data-driven 113

Smart Data Collective

DECEMBER 15, 2021

Digital marketers work online and leverage online tools to drive sales. They make up an aspect of marketing focused on using the internet and cloud-based technology to promote brands. Marketers all share the same goal: reach the target audience and make more profit. But driving sales through the maximization of profit and minimization of cost is impossible without data analytics.

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ROI Marketing Data Analytics Analytics 113

KDnuggets

DECEMBER 14, 2021

Thinking about taking your data science expertise to a new level of creating a start-up company? These tips -- learned from experience -- can help you forge an early path toward success.

Data Science 148

Data Science 148

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, We will develop an End to End project which will be based on Pure Deep Learning. I’m using Pure term here, the reason you’ll come to know in my further articles. The reason behind building this project is to detect […]. The post End to End Potato Leaf Disease Prediction Project – A Complete Guide appeared first on Analytics Vidhya.

Deep Learning 346

Deep Learning Data Science Publishing Analytics 346

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

Dataiku

DECEMBER 16, 2021

In this episode of the Banana Data Podcast, our hosts are joined by Nathan Mannheimer (Director of Data Science and ML at Tableau) as they unriddle the value of data visualization, explore what can go right and what can go wrong, and search for an answer to inquiries surrounding the future of data visualization.

Visualization 106

Visualization Data Science Data Processing 106

Smart Data Collective

DECEMBER 14, 2021

OKRs are a simple yet powerful management framework for managers to align with employee goals with the organization while fostering transparency and streamlining goal attainment. Employee monitoring is very important. Measuring results and performance is critical to business success. However, it is often challenging to ensure that your metrics are aligned with the C-suite objectives and that all your employees are engaged and connected in meeting these targets.

Measurement 108

Measurement Metrics Data-driven Software 108

KDnuggets

DECEMBER 17, 2021

I've put some thought into this, and come up with the 5 characteristics of a what I believe define a successful data scientist. Do you agree?

Data Science 156

Data Science 156

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon What is object detection? Cf the many Computer Vision cognitive application, object detection is one of the highly used techniques to identify and locate objects in images and videos. As the name suggests – ‘Computer Vision’, is the ability for computers to acquire human-like […].

Data Science 334

Data Science Publishing Analytics 334

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

Dataiku

DECEMBER 15, 2021

In the past two years, retail and CPG businesses have faced changes like never before. During this period, some key trends have been accelerated and new ones have emerged.

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Smart Data Collective

DECEMBER 13, 2021

Tracking how your database is performing should be on the top of the to-do list for any administrator. And of course, the only way to make sure you handle this effectively and efficiently is to put a monitoring strategy in place. There are several steps to take, and many considerations to take onboard, when building your own SQL Server monitoring strategy, so here are just a few pieces of guidance that will help you avoid common pitfalls.

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Strategy Metrics Software Measurement 105

KDnuggets

DECEMBER 13, 2021

How exactly does AI model governance help tackle these issues? And how can you ensure you’re using it to best fit your needs? Read on.

Modeling 158

Modeling IT Data Governance 158

Analytics Vidhya

DECEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, I will explain to you about using Yolo v5 Algorithm for Detecting & Classifying different types of 60+ Road Traffic Signs. We will start from very basic and covers each step like Preparation of Dataset, Training, and Testing. In this article, […].

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Testing Data Science Publishing Analytics 334

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