KDnuggets

DECEMBER 23, 2019

What is the Salary of a Data Scientist in 2019? Let's have a look at some data to see how we can answer that question.

Data Science 115

Data Science 115

MLWhiz

DECEMBER 24, 2019

Creating a great machine learning system is an art. There are a lot of things to consider while building a great machine learning system. But often it happens that we as data scientists only worry about certain parts of the project. But do we ever think about how we will deploy our models once we have them? I have seen a lot of ML projects, and a lot of them are doomed to fail as they don’t have a set plan for production from the onset.

Machine Learning 52

Machine Learning Modeling IT 52

Juice Analytics

DECEMBER 23, 2019

The title comes from Ronald Reagan, sometimes known as “The Great Communicator.” If he knew anything, he knew that simplicity was foundational when reaching a broad audience. That doesn’t stop people from finding ways to overcomplicate their data visualizations. Take this example from The Data Viz Catalogue. It is called a Radial Bar Chart. Radial Bar Chart.

Visualization 103

Visualization Statistics Data-driven Metrics 103

Smart Data Collective

DECEMBER 23, 2019

Years ago, when we talked about open source code, we were talking about something that was really only relevant to classic computer geeks – the ones running their computers on Unix and swapping bits of code on message boards. Times have changed, though, and now open source code is an integral part of how most businesses and just about anyone in the software world does their work.

Software 54

Software Management Predictive Analytics Risk 54

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

Analytics Vidhya

DECEMBER 26, 2019

Introduction “Ripley’s Believe or Not” features some of the weirdest and most bizarre facts from around the world. How about creating our own Ripley’s. The post 5 Weird and Hilarious Uses of Data Science appeared first on Analytics Vidhya.

Data Science 400

Data Science Analytics Recreation/Entertainment Deep Learning 400

KDnuggets

DECEMBER 26, 2019

Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.

Machine Learning 154

Machine Learning Data Science Deep Learning 154

FineReport

DECEMBER 25, 2019

Reports are the basic business requirements of an enterprise. It can help enterprises make better use of data if different data can be presented by appropriate reports. This article will introduce the top 10 types of reports , with the reporting examples and process of reports designing, to help you choose the right report to support your decision. 1.Top 10 Types of Report. 1.1 Detail Report.

Reporting 98

Reporting Metrics ROI KPI 98

Analytics Vidhya

DECEMBER 22, 2019

Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning. The post 2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.

Deep Learning 208

Deep Learning Machine Learning Analytics Data Science 208

KDnuggets

DECEMBER 26, 2019

Let us see how random forest competes with neural networks for solving a real world business problem.

Customer Analytics 146

Customer Analytics Analytics 146

MLWhiz

DECEMBER 27, 2019

Time series prediction problems are pretty frequent in the retail domain. Companies like Walmart and Target need to keep track of how much product should be shipped from Distribution Centres to stores. Even a small improvement in such a demand forecasting system can help save a lot of dollars in term of workforce management, inventory cost and out of stock loss.

Forecasting 88

Forecasting Management IT 88

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Analytics

FineReport

DECEMBER 23, 2019

According to IDC Semiannual Software Tracker for the First Half of 2019, China’s business intelligence software market size was $ 210 million in the first half of 2019, with a year-on-year increase of 24.6%. IDC predicts that the size of China’s business intelligence software market in 2019 will be USD 550 million, with a year-on-year increase of 26.2%.

Marketing 95

Marketing Business Intelligence Manufacturing Software 95

Data Science 101

DECEMBER 21, 2019

Much like the Agile Manifesto for Software Development, a new AI Manifesto has emerged from David “Gonzo” Gonzalez & Ben Taylor. It is currently open for signatures, so please go sign. AI Manifesto.

Software 87

Software IT Data Science 87

KDnuggets

DECEMBER 24, 2019

This article is about Market Basket Analysis & the Apriori algorithm that works behind it.

Marketing 139

Marketing Data mining IT 139

Sisense

DECEMBER 23, 2019

Blog. Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. In Growing Up with AI , we help you keep up with all the ways this pioneering technology is changing the world. Use AI to tackle huge datasets. Let’s talk about AI and machine learning (ML). Does your company actually have the tools and processes to use these innovations?

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

FineReport

DECEMBER 22, 2019

You may have viewed many articles or reviews about reporting tools lists or open-source reporting tools. Have you decided which to choose among these? Do you feel confused, which is best for you? Before you decided, please ask yourself, do you know the answers to the following questions? What are the reporting tools? What types of reporting tools do you need?

Reporting 90

Reporting Software Dashboards OLAP 90

Data Science 101

DECEMBER 27, 2019

It is the days between Christmas and New Years, so the there is not much news to share. Here are the few bits of information I could find. News. AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. Now they support Tensorflow 2.0. Videos. An intro to Azure FarmBeats An innovative idea to bring data science to farmers.

Data Science 86

Data Science Deep Learning Data-driven IT 86

KDnuggets

DECEMBER 27, 2019

In this fourth and final part of the ultralearning data science series, it's time to take the final steps toward developing a deep understanding of the fundamentals and learning how to experiment -- the two aspects that are the ultimate keys to ultralearning.

Experimentation 89

Experimentation Data Science IT 89

Smart Data Collective

DECEMBER 23, 2019

Last year, Harvard Business Review published a great article on the ways that AI are changing contract management. Author Beverly Rich has said that AI and machine learning will be integral to contracts in the 21 st Century. Rich said that there are some challenges to utilizing AI for contracts. The biggest issue is that the majority of companies don’t retain data on their contracts.

Machine Learning 60

Machine Learning Management ROI Risk 60

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

Octopai

DECEMBER 22, 2019

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. Metadata is everywhere and its success depends on deploying the right resources for its management.

Metadata 54

Metadata Management OLAP Data Governance 54

Data Science 101

DECEMBER 24, 2019

It’s Christmas week, but there has been some data science news recently. You can see all the details at Cloud Data Science News, Beta 7 or you can watch the 60 second video. Thanks for watching and Merry Christmas!

Data Science 86

Data Science IT 86

KDnuggets

DECEMBER 24, 2019

KDnuggets is not only for learning about AI, Data Science, and Machine Learning. A KDnuggets cartoon has been included in an English language and culture textbook for French high-school students.

Machine Learning 70

Machine Learning Data Science 70

Smart Data Collective

DECEMBER 23, 2019

The market size for artificial intelligence technology is expected to reach $190.6 billion by 2025. This statistic is hardly surprising. Artificial intelligence is transforming the corporate world in almost every way. One of the biggest ways that AI is changing the future of business is by improving the effectiveness of online marketing. Smart businesses will look for new ways to use AI to boost their online marketing strategies.

Marketing 54

Marketing Cost-Benefit Advertising ROI 54

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

BizAcuity

DECEMBER 25, 2019

The Unexposed Secret of German Shepherd. If you’re a jogger, a German shepherd may be great running companion. German Shepherds can live up to 13 years, so whatever you decide to call them, they’re susceptible to be in existence for the short time. Consequently , if you’re likely to obtain a German Shepherd, you’re not upon it’s own!

IT 52

IT 52

MLWhiz

DECEMBER 23, 2019

People ask me a lot about how to land a data science job? Or how to switch careers or how to study for a job interview? Mostly my answer is to do some MOOCs, create some projects, participate in Kaggle, try to get in a startup and don’t give up. But yet there are some things everyone should understand about data science jobs. Data science jobs involve a lot of to and fro communication and involve a lot of people handling skills.

Data Science 52

Data Science 52

KDnuggets

DECEMBER 27, 2019

This post outlines an attack plan for fighting overfitting in neural networks.

Deep Learning 99

Deep Learning 99

Smarten

DECEMBER 24, 2019

This Client is one of the fastest growing life insurance companies in India and offers a diverse range of wealth management, protection and retirement solutions. The Smarten team provided dedicated services and support to understand their functional requirements, and to design and implement a centralized data warehouse, ETL, and front-end object development.

Insurance 52

Insurance Analytics Data Warehouse Management 52

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

BizAcuity

DECEMBER 23, 2019

Here’s What I Know About the Best Best Beagle Dog Harness. A use is a simple demand for everyone who owns a beagle. When you’re on the lookout for a harness which may navigate a lot of weather conditions, we’ve got a few recommendations that we believe you may like. From then on, make certain that the kind of freedom no-pull dog control you select is usually suited for outdoor wear, if that’s what you want to your pet.

IT 52

IT Management 52

CDW Research Hub

DECEMBER 23, 2019

More data, more clouds. You’ve probably noticed that conversations about the cloud have evolved in recent years from simply referencing “the cloud” to focusing on multi-cloud capabilities. The conversation is no longer about where you can use the cloud; it’s about where you can use the cloud to better augment the applications and services you need to deliver to your customers.

Strategy 52

Strategy Internet of Things IoT Interactive 52

KDnuggets

DECEMBER 23, 2019

Learn why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration.

Metadata 65

Metadata Management Data Governance 65

Smarten

DECEMBER 23, 2019

Self-Serve Data Prep Takes the Pain Out of Data Preparation! Let’s talk about data preparation! That often cumbersome, always complex process by which data scientists and IT professionals gather and prepare data for analysis. Data prep involves the extraction and transformation of raw data to prepare that data for analysis. It includes cleaning and reducing that data by removing outliers and standardizing data formats, among other things.

Machine Learning 52

Machine Learning Testing Visualization Reporting 52

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing