datapine

SEPTEMBER 27, 2022

Originally published in 2018, the book has a second edition that was released in January of 2022. Also, interactive online tools and platforms such as Codecademy and SQLZoo will allow you to develop and practice your programming skills in an engaging, practical setting – an excellent supplement to your book learning efforts.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Alation

FEBRUARY 12, 2021

Now imagine trying to infuse Customer Intimacy into an organization where each customer interaction is only known to the lone employee who was there. October 2018. If that organization merely buys Customer Relationship Management (CRM) software and expects magic to happen, they’ll be disappointed. Subscribe to Alation's Blog.

Data-driven 59

Data-driven Data Governance Software Statistics 59

Smart Data Collective

DECEMBER 18, 2020

The platform is primarily designed to help businesses and site owners to understand how visitors are interacting with their pages. According to Infosec statistics , cyber-attacks resulting in over $1 million in reported losses has risen exponentially over the past five years – with over 100 cases reported in both of 2018 and 2019.

Analytics 82

Analytics Broadcasting Measurement Data Processing 82

Data Science and Beyond

JULY 22, 2018

Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. This article is a short summary of my understanding of the definition of data science in 2018. Even better – I still get paid for being a data scientist. But what does it mean?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Business Over Broadway

MAY 22, 2019

For those of you who are interested, here is Gartner’s latest (2018) hype cycle on emerging technologies. How employees can drive transformation and emerging technology adoption: Both are data-heavy endeavors; We know that statistics/math knowledge is related to data science project success. So, become data literate.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Domino Data Lab

JANUARY 6, 2019

Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. Recently the World Economic Forum published “ The Future of Jobs Report 2018.” Alice Zheng, Amanda Casari (2018). Chris Albon (2018).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

O'Reilly on Data

NOVEMBER 28, 2023

After programming and data analysis, the next most common use for generative AI was applications that interact with customers, including customer support: 65% of all respondents report that their companies are experimenting with (43%) or using AI (22%) for this purpose. The next most needed skill is operations for AI and ML (54%).

Enterprise 271

Enterprise Modeling Testing Reporting 271

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” Tukey did this paper.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. Likewise, 2018 was the year of virtual assistants: Alexa, Cortana, all of them have taken the consumers’ market by storm. but 2018 brought a major price correction – bitcoin decreased to roughly $3000.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

AUGUST 8, 2019

2018 – Global reckoning about data governance, aka “Oops!…We Another key point: troubleshooting edge cases for models in production—which is often where ethics and data meet, as far as regulators are concerned—requires much more sophistication in statistics than most data science teams tend to have. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Peter James Thomas

AUGUST 12, 2018

Some systems (even in 2018) can still make it harder to capture good data than to ram in bad. Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. The Bureau of Labor Statistics projects the job outlook for data scientists to grow 22% from 2020 to 2030. Our paths converge. By now, I was confident in my role. Supporting the next data-literate generation.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Smarten

SEPTEMBER 6, 2019

The key to self-serve solutions is to provide sophisticated features and functionality in an easy-to-use, intuitive, interactive environment that users will want to adopt and leverage. Users can control the data elements, the volume and the timing of the analysis and reporting. Can SSDP Truly Make Analytics Self-Serve?

Analytics 51

Analytics IT Business Intelligence Testing 51

Juice Analytics

NOVEMBER 20, 2018

Books we read in 2018. The Man Who Lied to His Laptop: What We Can Learn About Ourselves from Our Machines - A seminal read on learning about interactions between humans and machines. A book and apparel line in 2018. These are some of our favorite books and gift ideas for the data scientist, designer or analyst in your life.

Visualization 40

Visualization Statistics Big Data Interactive 40

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. The describe function on a Pandas DataFrame provides descriptive statistics, including the number of columns, in this case 27, and median (this is the 50 percent row), for each column. 05) in predicting changes in attendance.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

MAY 8, 2019

2018-06-21). They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Use of influence functions goes back to the 1970s in robust statistics. Jupyter Book: Interactive books running in the cloud ” by Chris Holdgraf (2019-03-27).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] Instead, we recommend using the bokeh library to create a highly interactive—and actionable—plot, as with the code provided in Example 11.11. Interactive bokeh plot of two-dimensional word-vector data. Example 11.6 Example 11.11 y=subset_df.y,

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

O'Reilly on Data

MAY 21, 2019

For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production. This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. ARIMA techniques are complex and drawing conclusions from the results may not be as straightforward as for more basic statistical analysis approaches. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. In the 2018 midterms, for example, they began to make forecasts such as “1 in 5 chance Democrats win control (19.1%); 4 in 5 chance Republicans keep control (80.9%),” which is careful to express the probabilistic nature of the prediction.

Uncertainty 275

Uncertainty Testing Risk Reporting 275