O'Reilly on Data

FEBRUARY 18, 2020

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. In 2019, as in 2018, Python was the most popular language on O’Reilly online learning.

Data-driven 331

Data-driven Software Statistics Marketing 331

FineReport

NOVEMBER 26, 2019

You will find that they are designed according to the data analysis process. First, data processing, data cleaning, and then data modeling, finally data visualization that uses presentation of charts to identify problems and influence decision-making. The Skills That Data Analysts Need to Master.

Data Analytics 98

Data Analytics Analytics Statistics Visualization 98

KDnuggets

NOVEMBER 14, 2019

Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.

Visualization 83

Visualization Data Science 83

Sisense

DECEMBER 3, 2019

In order to empower the world’s business, data, and product teams to drive digital transformation, we recently announced two major leaps forward for the Sisense Platform. With a single click, an ensemble of univariate forecast models run against your data. An AI algorithm selects the best model based on the type of data analyzed.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

KDnuggets

DECEMBER 4, 2019

This week: The Future of Careers in Data Science & Analysis; Task-based effectiveness of basic visualizations; Open Source Projects by Google, Uber and Facebook for Data Science and AI; Getting Started with Automated Text Summarization; A Non-Technical Reading List for Data Science; and much more!

Data Science 46

Data Science Visualization 46

Analytics Vidhya

JANUARY 24, 2023

According to Scalegrid’s 2019 database trends report, SQL is the most popular database form, with more than 60% of its use. Introduction What kind of database did you use to build your most recent application? It is followed by NoSQL databases with more than 39% use.

Reporting 273

Reporting Analytics IT Big Data 273

Decision Management Solutions

JUNE 25, 2019

She emphasized the importance to data science teams of business translation and of partnering with domain experts. It’s often hard to get domain expertise and data science skills in the same person – hence the need for translation. DecisionsFirst indeed! Finally, Shingai Manjengwa , CEO, Fireside Analytics Inc.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

KDnuggets

SEPTEMBER 17, 2019

What other creative tools for data science beyond Python and R can you use to make an impression? It's not about the tool -- it's about its impact.

Data Science 82

Data Science IT Visualization 82

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Acquired by DataRobot June 2019).

Testing 300

Testing Machine Learning Consulting Data Quality 300

Business Over Broadway

DECEMBER 20, 2018

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. Below are my top 10 blog posts of 2018: Favorite Data Science Blogs, Podcasts and Newsletters. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

KDnuggets

SEPTEMBER 17, 2019

We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.

Data Science 122

Data Science Deep Learning Statistics Machine Learning 122

Business Over Broadway

JULY 14, 2020

Results of a worldwide survey of data professionals, the top used Integrated Development Environments (IDEs) are: Jupyter (73% have used), Visual Studio (31%), RStudio (30%), PyCharm (29%) and Notepad++ (22%). . Their survey included a variety of questions about data science, tool usage, machine learning, education and more.

Visualization 74

Visualization Machine Learning Data Science Statistics 74

Decision Management Solutions

DECEMBER 12, 2018

Bill Franks, Tom Davenport and Bob Morison of the International Institute for Analytics recently published their 2019 Analytics Predictions & Priorities. They had some great predictions and suggested priorities around the ethics of analytics, the value of data and the use of AI in fraud and cybersecurity.

Analytics 40

Analytics Predictive Analytics Modeling Data-driven 40

Smart Data Collective

OCTOBER 11, 2023

We mentioned that Python is one of the best programming languages for data science and AI applications. It offers a wealth of tools and features that empower developers to craft responsive, interactive, and visually stunning user interfaces. In fact, there are a number of products you can create with JavaScript AI libraries.

Machine Learning 99

Machine Learning Interactive Predictive Analytics Data-driven 99

CIO Business Intelligence

MAY 6, 2022

We believe the scalability challenges revolve around two factors — the lack of access to contextualized operational data and the skills gap to use complex data science and AI tools on the factory floor,” Charlie Sheridan, technology director of global manufacturing at Google Cloud, wrote in a blog post.

Manufacturing 139

Manufacturing Analytics Machine Learning IoT 139

KDnuggets

SEPTEMBER 2, 2019

Also: Types of Bias in Machine Learning; Deep Learning Next Step: Transformers and Attention Mechanism; New Poll: Data Science Skills; R Users Salaries from the 2019 Stackoverflow Survey; How to Sell Your Boss on the Need for Data Analytics.

Deep Learning 44

Deep Learning Machine Learning Visualization Data Science 44

TIBCO

MARCH 22, 2021

For more on what to expect, check out the highlights from TAF 2019 on the TAF community homepage. Products discussed will include TIBCO Spotfire ® , TIBCO ® Data Science, TIBCO ® Streaming, TIBCO ® Data Virtualization, TIBCO EBX , TIBCO WebFOCUS ® , and more.

Analytics 97

Analytics Manufacturing Digital Transformation Data Science 97

Domino Data Lab

JUNE 13, 2019

Visually examine the poorest matches, trying to understand what the MNIST authors could have done differently to justify these differences without at the same time changing the existing close matches. 2018 , 2019 ], albeit on a different dataset and in a substantially more controlled setup. — Yann LeCun (@ylecun) May 29, 2019.

Testing 83

Testing Data Science Experimentation Metadata 83

Smarten

NOVEMBER 18, 2022

From the Google-type ‘ask a question and get an answer’ environment consumers love, to the augmented analytics solution that provides an NLP environment to make it easy for non-technical business users to perform data analytics, using the tried-and-true question/answer approach, without the need for data science or IT skills. ‘It

Analytics 52

Analytics Statistics Data Science Machine Learning 52

KDnuggets

NOVEMBER 28, 2019

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

Data Science 154

Data Science Technology Deep Learning Visualization 154

KDnuggets

OCTOBER 9, 2019

Read a comprehensive SQL guide for data analysis; Learn how to choose the right clustering algorithm for your data; Find out how to create a viral DataViz using the data from Data Science Skills poll; Enroll in any of 10 Free Top Notch Natural Language Processing Courses; and more.

Data Science 47

Data Science Visualization Machine Learning 47

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. ML model interpretability and data visualization. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. Are you ready to take your organization’s data communications skills to the next level? This training program is about classic data visualization principles? Course 1: Data Visualization Design Principles .

Visualization 40

Visualization Consulting Dashboards Reporting 40

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

CIO Business Intelligence

DECEMBER 28, 2023

The generative aspects of ChatGPT almost seemed like magic to many, as these models created new written, audio, and visual content right before their eyes,” says Chris Herringshaw, global CIO of Janus Henderson, the British-American global asset management group. Others explored how the new technology could help write code or create content.

IT 124

IT Manufacturing Machine Learning IoT 124

Smarten

JANUARY 17, 2020

As one of its Strategic Assumptions, Gartner predicted that ‘By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ Look for Self-Serve Data Preparation , Smart Data Visualization , and Assisted Predictive Modeling.

Analytics 52

Analytics Predictive Modeling Business Analysis Visualization 52

Data Science 101

MAY 6, 2019

I think in physics one of the things that attracted me most to the field that I studied, which was particle physics, was the ability to leverage computer science mathematical modeling and data visualization to solve big questions. He asks, “How important is SQL in comparison to Python in 2019?”.

Data Science 98

Data Science Modeling Machine Learning Testing 98

datapine

DECEMBER 4, 2019

These systems can already speak, write, read and learn; hence, this is one of the big data buzzwords that will continue to disrupt industries in 2020 as well. As we mentioned in our business intelligence buzzwords article for 2019 , mobile usage is becoming an increasing factor in BI. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2019 was a particularly major year for the business intelligence industry. 2) Data Discovery/Visualization.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smart Data Collective

OCTOBER 14, 2019

Regardless of if you’re a data science professional or an IT department who wants to help your company have more successful data science projects, it’s essential to have some data science tools under your belt to avail of when needed. Here are some open-source options to consider.

Data Science 67

Data Science Machine Learning Big Data Interactive 67

FineReport

DECEMBER 19, 2019

At the same time, it also advocates visual exploratory analysis. The visualization component library of FineReport is very rich. It can be used as a portal for data reporting, or as a platform for business analysis. Pandas is a Python data science library that is constantly improving.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Smarten

MAY 11, 2017

If you are frustrated with BI tools, and looking for self-service Advanced Analytics to achieve your goals and empower users, you should understand the difference between traditional BI tools and the Smarten Advanced Data Discovery approach.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

AWS Big Data

JUNE 14, 2023

The AWS Professional Services (ProServe) Insights team builds global operational data products that serve over 8,000 users within Amazon. Our team was formed in 2019 as an informal group of four analysts who supported ad hoc analysis for a division of ProServe consultants. Outside of work, Ameya is a professional pilot.

Dashboards 78

Dashboards KPI Scorecard Metadata 78

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? Usually it’s human-generated text, but not always. Cupertino GPE?

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Sci Foo 2019.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

KDnuggets

NOVEMBER 6, 2019

Which Data Science Skills are core and which are hot/emerging ones?; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral DataViz; Microsoft open sources #SandDance, a visual data exploration tool.

Management 45

Management Visualization Data Science 45

Smart Data Collective

SEPTEMBER 25, 2019

Big data has been billed as being the future of business for quite some time. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The impact of big data is felt across all sectors of the economy. The data science industry offers various useful computer languages.

Big Data 80

Big Data Data Science Predictive Modeling Marketing 80