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 123

Data Science Deep Learning Statistics Machine Learning 123

KDnuggets

AUGUST 21, 2019

This week's news: Become More Marketable as a Data Scientist; Command Line Basics Every Data Scientist Should Know; Chatbots with Keras!; Understanding Cancer using Machine Learning; Statistical Modelling vs Machine Learning; Is Kaggle Learn a "Faster Data Science Education?"; and much more!

Data Science 49

Data Science Marketing Statistics Machine Learning 49

KDnuggets

SEPTEMBER 26, 2019

Join the Crunch Data Conference in Budapest, Oct 16-18, with stellar speakers from companies like Facebook, Netflix and LinkedIn. Use the discount code ‘KDNuggets’ to save $100 off your conference ticket.

Statistics 93

Statistics Data Science Data Analytics Analytics 93

KDnuggets

SEPTEMBER 16, 2019

The career path of the Data Scientist remains a hot target for many with its continuing high demand. Becoming one requires developing a broad set of skills including statistics, programming, and even business acumen.

Software 120

Software Statistics Data Science IT 120

DataRobot

AUGUST 5, 2021

In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. Some participants were also shown the statistical distribution of the potential rental prices against the prediction point estimate. Humans and AI Best Practices.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Smart Data Collective

APRIL 11, 2019

Big data is playing a monumental role in economic development in 2019. It is being used in every industry from healthcare delivery to insurance modeling to political science. According to economic analysts, the market size for big data is currently estimated to be $203 billion.

Big Data 76

Big Data Insurance Statistics Technology 76

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 335

Data-driven Software Statistics Marketing 335

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. ” The Atlantic – Workers Love AirPods Because Employers Stole Their Walls , Amanda Mull, April 2019. Here we come back to the upward trend in searches for Data Science.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

O'Reilly on Data

DECEMBER 12, 2019

Many non-technological solutions involve promoting a diversity of expertise and experience on data science teams, and ensuring diverse intellects are involved in all stages of model building. [15] Those interested in more details can dig deeper into the code on GitHub used to create the examples in this post. [16]

Machine Learning 192

Machine Learning Modeling Testing Risk Management 192

FineReport

DECEMBER 19, 2019

If you want to learn more about self-service BI tools, you can take a look at this review: 5 Most Popular Business Intelligence (BI) Tools in 2019 , to understand your own needs and then choose the tool that is right for you. It is a database query language for accessing data and querying, updating, and managing relational database systems.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

KDnuggets

OCTOBER 31, 2019

These results will go into each each region and employment type to find out the differences and similarities especially between people from Industry and Students.

Data Science 47

Data Science Deep Learning Statistics Machine Learning 47

Business Over Broadway

MAY 22, 2019

Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. 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.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

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

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. Current Ratio.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

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

Business Over Broadway

JULY 29, 2020

Analysis of usage of 5 primary tools used to analyze data showed that the top tool used by data professionals to analyze data are local development environments (54%), followed by basic statistical software (20%), cloud-based data software and APIs (8%), advanced statistical software (6%) and business intelligence software (6%).

Statistics 92

Statistics Software Business Intelligence Data Science 92

O'Reilly on Data

MARCH 18, 2020

The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. It seems as if the experimental AI projects of 2019 have borne fruit. But what kind? Bottlenecks to AI adoption.

Enterprise 313

Enterprise Deep Learning Data Governance Risk 313

Business Over Broadway

JANUARY 19, 2021

Nearly half of data professionals surveyed in Kaggle’s 2020 Data Science and Machine Learning Survey said they do not use BI tools. The top tool used by data professionals to analyze data are local development environments (48%), followed by basic statistical software (30%).

Business Intelligence 85

Business Intelligence Analytics Statistics Machine Learning 85

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

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. e-handbook of statistical methods: Summary tables of useful fractional factorial designs , 2018 [3] Ulrike Groemping. Hedayat, N.J.A.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Smart Data Collective

APRIL 14, 2020

The future of data science jobs continues to be brighter than ever in 2020. According to Glassdoor’s list of Best Jobs in America for the past four years, “data scientist” topped in terms of job demand, job satisfaction, and pay with an average base salary of more than $100,000 per year. What about the Ph.D. Academic Degree.

Data Science 90

Data Science Statistics IT Big Data 90

Business Over Broadway

JULY 14, 2020

Kaggle conducted a worldwide survey in October 2019 of 19,717 data professionals ( 2019 Kaggle Machine Learning and Data Science Survey ). Their survey included a variety of questions about data science, tool usage, machine learning, education and more. Notepad: DBA/Database Engineer.

Visualization 74

Visualization Machine Learning Data Science Statistics 74

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. back to the structure of the dataset. Let’s look through some antidotes. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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. Tools to Help Your Data Science Projects Excel.

Data Science 68

Data Science Machine Learning Big Data Interactive 68

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

KDnuggets

JULY 30, 2019

This article is designed to give you a full picture from constructing a hypothesis testing to understanding p-value and using that to guide our decision making process.

Testing 87

Testing Statistics Data Science 87

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. In 2019, Netflix alone released 371 new TV shows and movies.

Risk 67

Risk ROI Modeling Metrics 67

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. GAMs are popular among data science and machine learning applications for their simplicity and interpretability.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

O'Reilly on Data

MARCH 20, 2019

Especially in today’s overheated and turnover-prone data “science” market.) But keeping a placeholder for them when scoring new data, or when retraining future iterations of your model, may come in very handy one day. O’Reilly Ideas (2019). Security Attacks: Analysis of Machine Learning Models.” DZone (2018). URL: [link].

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

O'Reilly on Data

MAY 21, 2019

As the number of data scientists and machine learning engineers grow within an organization, tools have to be standardized, models and features need to be shared, and automation starts getting introduced. 58% of survey respondents indicated they are building or evaluating data science platforms. Data results from a Twitter poll.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Smarten

NOVEMBER 18, 2022

Research reveals that the global statistical natural language processing (NLP) market size is projected to grow to $3.7 Natural Language processing-based search capability allows business users with average technical skills to gather and analyze data without the need to scroll through menus or write complex queries.

Analytics 52

Analytics Statistics Data Science Machine Learning 52

Peter James Thomas

APRIL 9, 2019

Maybe I will do better with 2019’s highlights! Given the advent of the Maths & Science section, there are now seven categories into which I have split articles. These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science. Analytics & Big Data.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

Smarten

MAY 11, 2017

Self-Serve Data Preparation provides seamless data access and allows users to discover, transform, mash-up and integrate data for clear analytics. 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

O'Reilly on Data

JANUARY 25, 2021

Year-over-year (YOY) growth compares January through September 2020 with the same months of 2019. Let’s look at the data, starting at the highest level: O’Reilly online learning itself. Usage of O’Reilly online learning grew steadily in 2020, with 24% growth since 2019. AI, Machine Learning, and Data.

Machine Learning 363

Machine Learning Software Testing Technology 363

datapine

DECEMBER 4, 2019

Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company. The accuracy of the predictions depends on the data used to create the model. 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. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361