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. And we can keep repeating this approach, relying on intuition and luck. Why experiment with several parameters concurrently?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Business Over Broadway

AUGUST 4, 2020

Experimentation and iteration to improve existing ML models (39%). In prior research, I found that data professionals who self-identified as Researchers have a strong math/statistics/research skill set. The entire list of activities (shown in Figure 1) were: Analyze and understand data to influence product or business decisions (63%).

Machine Learning 145

Machine Learning Data Science Statistics Experimentation 145

CIO Business Intelligence

APRIL 12, 2024

Right now most organizations tend to be in the experimental phases of using the technology to supplement employee tasks, but that is likely to change, and quickly, experts say.

Experimentation 143

Experimentation Reporting Testing Statistics 143

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

O'Reilly on Data

MARCH 18, 2020

It seems as if the experimental AI projects of 2019 have borne fruit. data cleansing services that profile data and generate statistics, perform deduplication and fuzzy matching, etc.—or This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. But what kind?

Enterprise 347

Enterprise Deep Learning Data Governance Risk 347

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Among these, only statistical uncertainty has formal recognition.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. You should also have experience with pattern detection, experimentation in business optimization techniques, and time-series forecasting.

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). They cannot process language inputs generally. Examples: (1) Automated manufacturing assembly line. (2) 4) Prosthetics.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Data Science 101

JANUARY 15, 2020

Some pitfalls of this type of experimentation include: Suppose an experiment is performed to observe the relationship between the snack habit of a person while watching TV. Bias can cause a huge error in experimentation results so we need to avoid them. Statistics Essential for Dummies by D. REFERENCES. McCabe & B.

Experimentation 96

Experimentation Statistics Measurement Testing 96

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

JULY 31, 2024

For teams that want to boil down their own data into predictive tools, Model Builder will turn all those records of past purchases sitting in the data lake into a big statistical hair ball of tendencies that passes for an AI these days. Salesforce is pushing the idea that Einstein 1 is a vehicle for experimentation and iteration.

Data Lake 119

Data Lake IT Sales Experimentation 119

FineReport

DECEMBER 11, 2019

. – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. The big news is that we no longer need to be proficient in math or statistics, or even rely on expensive modeling software to analyze customers. By Michael Milton. – Data Divination: Big Data Strategies.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

CIO Business Intelligence

SEPTEMBER 30, 2024

Once we get more data from across a couple of areas into Mquiry, I would love to see the insights it might show us and do some training against that data.

Data Quality 116

Data Quality Experimentation Insurance Statistics 116

CIO Business Intelligence

MARCH 21, 2022

According to William Chen, Data Science Manager at Quora , the top five skills for data scientists include a mix of hard and soft skills: Programming: The “most fundamental of a data scientist’s skill set,” programming improves your statistics skills, helps you “analyze large datasets,” and gives you the ability to create your own tools, Chen says.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

CIO Business Intelligence

JANUARY 2, 2024

He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024. But at the end of the day, it boils down to statistics. Statistics can be very misleading. That’s the case for Yi Zhou, CTO and CIO with Adaptive Biotechnologies.

IT 144

IT Cost-Benefit Statistics Consulting 144

Occam's Razor

SEPTEMBER 19, 2011

You need people with deep skills in Scientific Method , Design of Experiments , and Statistical Analysis. The team did the normal modeling to ensure that the results were statistically significant (large enough sample set, sufficient number of conversions in each variation). * ask for a raise. It is that simple. Okay, it is not simple.

Measurement 120

Measurement Advertising Testing Marketing 120

Smarten

DECEMBER 11, 2017

Advanced Data Discovery ensures data democratization and can drastically reduce the time and cost of analysis and experimentation. A business user with average skills can do all of this without specialized skills, knowledge of statistical analysis or support from IT or professional data scientists.

Experimentation 65

Experimentation Statistics Visualization Dashboards 65

Sisense

JANUARY 21, 2020

This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term. So how do we get totally different results when breaking the data down by gender? See Kievit, Rogier, et al. ).

Testing 104

Testing Data-driven Risk Statistics 104

CIO Business Intelligence

JUNE 11, 2024

A 1958 Harvard Business Review article coined the term information technology, focusing their definition on rapidly processing large amounts of information, using statistical and mathematical methods in decision-making, and simulating higher order thinking through applications.

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

CIO Business Intelligence

JULY 6, 2023

After completing MTech from Indian Statistical Institute, I started my career at Cognizant. What do you do to foster a culture of innovation and experimentation in your employees? Only experimentation can help to improve this index. Overall, my career has spanned 20 years. This is what makes the job most interesting.

Digital Transformation 98

Digital Transformation Experimentation Recreation/Entertainment Technology 98

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. Like other authors, they argue that causal inference has been neglected by traditional statistics and some scientific disciplines. In a recent article , Hernán et al.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Occam's Razor

APRIL 8, 2013

Remember that the raw number is not the only important part, we would also measure statistical significance. Advanced Analytics Big Data Digital Analytics Web Analytics Web Insights Web Metrics actionable analytics business optimization experimentation and testing key performance indicators' The result? The graph is impressive, right?

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

DataRobot Blog

JANUARY 17, 2023

Not actually being a machine learning problem: Value-at-Risk modeling is the classic example here—VaR isn’t a prediction of anything, it’s a statistical summation of simulation results. As discussed, we massively accelerate that process of experimentation.

Machine Learning 87

Machine Learning Marketing Experimentation Data-driven 87

Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Issue detected?

Manufacturing 98

Manufacturing Testing Data Quality Dashboards 98

FineReport

DECEMBER 19, 2019

In addition, Jupyter Notebook is also an excellent interactive tool for data analysis and provides a convenient experimental platform for beginners. Pandas incorporates a large number of analysis function methods, as well as common statistical models and visualization processing. From Google. Data Analysis Libraries.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

O'Reilly on Data

MARCH 23, 2023

And it can look up an author and make statistical observations about their interests. ChatGPT offers users a paid account that costs $20/month, which is good enough for experimenters, though there is a limit on the number of requests you can make. Again, ChatGPT is predicting a response to your question.

IT 346

IT Modeling Testing Risk 346

CIO Business Intelligence

AUGUST 21, 2024

The flashpoint moment is that rather than being based on rules, statistics, and thresholds, now these systems are being imbued with the power of deep learning and deep reinforcement learning brought about by neural networks,” Mattmann says. But multiagent AI systems are still in the experimental stages, or used in very limited ways.

Risk 136

Risk Insurance Cost-Benefit Software 136

Business Over Broadway

FEBRUARY 21, 2021

As such, data science requires three broad skill sets , including subject matter expertise, statistics/math and technology/programming. Experimentation and iteration to improve existing ML models (25%). The practice of data science is about extracting value from data to help inform decision making and improve algorithms.

Machine Learning 60

Machine Learning Data Science Statistics Experimentation 60

AWS Big Data

JULY 8, 2024

In every Apache Flink release, there are exciting new experimental features. You can find valuable statistics you can’t normally find elsewhere, including the Apache Flink Dashboard. However, in this post, we are going to focus on the features most accessible to the user with this release.

Management 115

Management Dashboards Consulting Snapshot 115

Domino Data Lab

JANUARY 24, 2019

This group of solutions targets code-first data scientists who use statistical programming languages and spend their days in computational notebooks (e.g., While these solutions offer great breadth of functionality, users must leverage the proprietary user interfaces or programming languages to express their logic. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

Ontotext

FEBRUARY 14, 2024

As a statistical model, LLM inherently is random. Experimentation is important, but be explicit when you do. So, we’ve learned our lesson. AI will solve it We’ve seen a massive increase in interest in LLMs and ‘AI’ But LLM without guide rails could lead to unbridled hallucinations. Start with “why?”

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

IBM Big Data Hub

MAY 17, 2024

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Teams are comfortable with experimentation and skilled in using data to inform business decisions.

Modeling 96

Modeling Cost-Benefit Optimization Digital Transformation 96

DataRobot Blog

JULY 28, 2022

Initially, the customer tried modeling using statistical methods to create typical features, such as moving averages, but the model metrics (R-square) was only 0.5 The first baseline model we created used spectrograms of speech waveform data, statistical features, and spectrogram images. This approach got us to an R-squared of 0.7,

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

Smarten

MAY 11, 2017

Advanced Data Discovery ensures data democratization by enabling users to drastically reduce the time and cost of analysis and experimentation. Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49