Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. This group of solutions targets code-first data scientists who use statistical programming languages and spend their days in computational notebooks (e.g., Reflections. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

CIO Business Intelligence

MARCH 31, 2023

And the Bureau of Labor Statistics predicts that business analyst jobs will grow 11% from 2021 to 2031. You’ll also learn how to build interactive dashboards, apply statistical tools and concepts, plan and track Scrum projects, understand business analysis key concepts, analyze data using Tableau, and more.

Business Analysis 94

Business Analysis Testing Business Analytics Statistics 94

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. BN in 2018, it is also predicted to grow with a CAGR rate of 22.43% by reaching 2024.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Birst BI

AUGUST 23, 2018

Source: Gartner (April 2018). Our goal is to create science solutions that make better predictions or result in more optimal decisions. Some examples of products we have built include pricing optimization for Distribution and inventory optimization for Healthcare. Idoine, Erick Brethenoux, 12 June 2018.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Our team does a lot of forecasting.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

datapine

SEPTEMBER 27, 2022

Originally published in 2018, the book has a second edition that was released in January of 2022. 14) “High-Performance MySQL: Optimization, Backups, and Replication” by Baron Schwartz, Peter Zaitsev, and Vladimir Tkachenko. 4) “SQL Performance Explained” by Markus Winand. Would highly recommend for SQL experts.”.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

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. Another algorithm (the “trainer” and “pipeline”) that uses data to produce the Model that best optimizes some objective function.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Smarten

SEPTEMBER 6, 2019

In the meantime, business users have a tool that is sophisticated enough to present clear, accurate, measurable results and allow them to find the source of problems, optimize results and share data to support business decisions.

Analytics 51

Analytics IT Business Intelligence Testing 51

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

DECEMBER 18, 2020

Hackers have turned to exploiting website optimization platform Google Analytics to steal credit cards, passwords, IP addresses and a whole host of compromising information that can be shared by hacked sites. Image: Infosec ).

Analytics 82

Analytics Broadcasting Measurement Data Processing 82

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

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). By mid-2018, use of AutoML had captured little interest in enterprise—only a single digit percentage among our respondents for the first survey. Spark, Kafka, TensorFlow, Snowflake, etc.,

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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. Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough. Challenges for Transparency ”.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

JULY 24, 2018

The ability to optimize landing pages. At the top-right, you’ll discover my obsession with Profit and Incrementality, which form the basis of competitive advantage in 2018 (and beyond). So, how do we ensure that each has an optimal analytical approach? Is the distribution optimal? What do you see?

Analytics 93

Analytics Metrics Strategy Measurement 93

O'Reilly on Data

NOVEMBER 28, 2023

ChatGPT has driven a focus on personal use cases, but there are many applications where problems of bias and fairness aren’t major issues: for example, examining images to tell whether crops are diseased or optimizing a building’s heating and air conditioning for maximum efficiency while maintaining comfort.

Enterprise 267

Enterprise Modeling Testing Reporting 267

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

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. Example 11.6

Deep Learning 111

Deep Learning Modeling Metrics Testing 111