CIO Business Intelligence

NOVEMBER 12, 2024

AI Singapore is a national AI R&D program, launched in May 2017. AIAP in the beginning: Goals and challenges The AIAP started back in 2017 when I was tasked to build a team to do 100 AI projects. The hunch was that there were a lot of Singaporeans out there learning about data science, AI, machine learning and Python on their own.

Modeling 116

Modeling Machine Learning Consulting Deep Learning 116

Rocket-Powered Data Science

JULY 30, 2018

Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition). Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition).

Machine Learning 197

Machine Learning Deep Learning Statistics Data Processing 197

Data Science 101

MARCH 7, 2019

In Late January 2019, Microsoft launched 3 new certifications aimed at Data Scientists/Engineers. They launched the Microsoft Professional Program in Data Science back in 2017. Here are details about the 3 certification of interest to data scientists and data engineers. Azure Data Scientist Associate.

Data Science 94

Data Science IT 94

IBM Big Data Hub

DECEMBER 4, 2017

They voraciously read blog posts about incorporating machine learning, choosing the best possible data model, determining how to make the most of data science skills, working with open source frameworks and more. Here are our top 10 blog posts of 2017.

Big Data 77

Big Data Data Analytics Analytics Machine Learning 77

O'Reilly on Data

SEPTEMBER 24, 2018

Getting DataOps right is crucial to your late-stage big data projects. At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. Data science is the sexy thing companies want. They're right.

Enterprise 259

Enterprise Big Data Data Quality Unstructured Data 259

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

Business Over Broadway

JANUARY 13, 2019

The practice of data science requires the use of analytics tools, technologies and programming languages to help data professionals extract insights and value from data. A recent survey of nearly 24,000 data professionals by Kaggle revealed that Python, SQL and R are the most popular programming languages.

Machine Learning 110

Machine Learning Data Science Visualization Technology 110

Dataiku

MARCH 23, 2021

Data science platforms have been a buzzword phrase since 2017, but as today’s era of advanced analytics is driving the enterprise, this popular concept is becoming a norm.

Data Science 59

Data Science Enterprise Analytics 59

Smart Data Collective

APRIL 5, 2022

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

Machine Learning 145

Machine Learning Cost-Benefit Data Science Unstructured Data 145

Business Over Broadway

JUNE 29, 2020

The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. A recent survey of nearly 20,000 data professionals by Kaggle revealed that Python, SQL and R continue to be the most popular programming languages.

Machine Learning 128

Machine Learning Data Science Technology Analytics 128

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 279

Machine Learning Software Metadata Testing 279

Data Science 101

APRIL 12, 2019

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. How can you get a job as a data scientist?

Statistics 110

Statistics Data Science Machine Learning Software 110

Insight

MARCH 29, 2019

Over the last three years, I’ve worked with more than 500 Insight Fellows , coaching them as they transition to thriving industry careers in data science, data engineering, and artificial intelligence. However, even as she enthusiastically interviewed for the role of VP and Head of Data Science at Dotdash?—?a

Data Science 73

Data Science Management ROI Data Processing 73

Data Science and Beyond

SEPTEMBER 2, 2017

November 2017: Update and goodbye I’ve decided to shut down Bandcamp Recommender (BCRecommender), despite hearing back from a few volunteers. The main reasons are: Bandcamp now shows album recommendations at the bottom of album pages.

IT 52

IT 52

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. “We General Data Protection Regulation (GDPR) and Data Science.

Machine Learning 45

Machine Learning Big Data Data Science IoT 45

Cloudera

FEBRUARY 16, 2018

In many ways, 2017 was a singular year for Cloudera, not least because we staged a successful IPO and joined the ranks of the world’s fastest-growing, publicly traded companies. Winner of Datanami Reader’s Choice award for Best Data Science Platform. The post 2017 – Another Award-Winning Year for Cloudera!

IoT 45

IoT Machine Learning Manufacturing Data Science 45

David Menninger's Analyst Perspectives

OCTOBER 5, 2018

In 2017 Strata + Hadoop World was changed to the Strata Data Conference. That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data.

Marketing 140

Marketing Machine Learning Technology Management 140

DataRobot Blog

OCTOBER 3, 2017

A Director of Information Analytics Services at a large, multinational healthcare services company is responsible for collecting and changing data schematics from third-party sources, matching and integrating mixed profiles of users, and mapping it to a conformed format. Try now for free.

Data Lake 52

Data Lake Advertising Data Architecture Insurance 52

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. The approach they’ve used applies to other popular data science APIs such as NumPy , Tensorflow , and so on.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Dataiku

MARCH 25, 2021

and democratizing data science at enterprises across the globe. In fact, we didn’t formally announce the Dataiku Academic Program until 2017 as a no-charge licensing, support, and learning resource for teachers, researchers, and students in the data science and analytics space.

Data Science 76

Data Science Enterprise Analytics 76

Business Over Broadway

JANUARY 27, 2019

The practice of data science requires the use of machine learning products and frameworks to help data professionals automate processes that drive their business forward. To better understand the adoption of these tools, I examined data from a recent worldwide study by Kaggle. Click image to enlarge.

Machine Learning 89

Machine Learning Data Science Technology Analytics 89

Domino Data Lab

SEPTEMBER 18, 2019

Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. From 2010 to 2017, the median price of a single-family home in San Francisco has gone from approximately $775,000 to $1.5 Introduction. fill=True,).:

Visualization 99

Visualization Interactive Machine Learning Data Science 99

CIO Business Intelligence

MARCH 25, 2022

I bring the tech and cyber expertise to those boards, and also the digital piece,” adds Martin, a member of the CIO Hall of Fame since 2017. “It It’s part of everything you hear about—the use of data, automation and robotics—helping to drive the operational strategy and new ways to improve efficiencies or reduce waste.

Digital Transformation 115

Digital Transformation Machine Learning Uncertainty Strategy 115

Smart Data Collective

DECEMBER 9, 2020

In 2017, the university forged a partnership with Microsoft and the city of Bellevue. Eugenio Zuccarelli, a renowned data scientist talked about his approach in Towards Data Science. His algorithms used a very nuanced model that relied on extensive inputs from public data and customer responses.

Machine Learning 144

Machine Learning Risk Insurance Predictive Analytics 144

Smart Data Collective

MARCH 23, 2022

However, we have witnessed a significant uptick in ADA cases being filed against website owners since 2017. Evan Morris of Towards Data Science discussed this in one of his recent articles. between Q1 of 2017 and Q1 of 2018. AI technology has made it easier to conform to ADA standards. That’s a lot of cash!

Cost-Benefit 128

Cost-Benefit Data mining Sales Testing 128

CIO Business Intelligence

AUGUST 11, 2023

Licensed by MIT, SpaCy was made with high-level data science in mind and allows deep data mining. Data Science: Natural Language Processing in Python from Udemy. SpaCy , an open-source library for advanced natural language processing explicitly designed for production use rather than research. Amazon Comprehend.

Unstructured Data 142

Unstructured Data Machine Learning Data Science Data mining 142

Cloudera

SEPTEMBER 24, 2021

Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. The Explosion in Telco Big Data: 2012-2017. As data volumes soared – particularly with the rise of smartphones – appliance based models became eye-wateringly expensive and inflexible.

Analytics 96

Analytics IoT Cost-Benefit Big Data 96

Domino Data Lab

MARCH 16, 2021

2018) Simple meaningless data processing steps, may cause saliency methods to result in significant changes (Kindermans et al., This is an exciting and important area of data science research. Saliency maps may also be vulnerable to adversarial attacks (Ghorbani et al., On to Concept Extraction and Building.

Modeling 122

Modeling Deep Learning Testing Optimization 122

Data Science and Beyond

SEPTEMBER 2, 2017

Call for BCRecommender maintainers followed by a decision to shut it down, as I don’t have enough time and Bandcamp now offers recommendations.

IT 52

IT 52

datapine

APRIL 14, 2022

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. However, the usage of data analytics isn’t limited to only these fields. Download our free summary outlining the best big data examples!

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below. References.

Modeling 213

Modeling Finance Uncertainty Data mining 213

David Menninger's Analyst Perspectives

OCTOBER 31, 2024

It was not until the addition of open table formats— specifically Apache Hudi, Apache Iceberg and Delta Lake—that data lakes truly became capable of supporting multiple business intelligence (BI) projects as well as data science and even operational applications and, in doing so, began to evolve into data lakehouses.

Data Lake 130

Data Lake Unstructured Data Data Warehouse Software 130

Data Science 101

MAY 6, 2019

So it was a natural transition for me to move to a career that felt like it had higher impact, a wide variety of work, and good career opportunity—and data science was that was that move for me. We pulled questions from some of our Springboard students and this one is from Miguel, who is in our data science vertical.

Data Science 98

Data Science Machine Learning Modeling Testing 98

Insight

AUGUST 29, 2019

Insight Boston began its journey in 2015, with the first and only fellowship program dedicated to a career in Health Data Science. In 2017, we expanded the location to include our Data Science program, and in early 2018, we welcomed our first Data Engineering Fellows.

Data Science 56

Data Science Machine Learning Sales Measurement 56

Business Over Broadway

JANUARY 11, 2021

Kaggle conducted a worldwide survey in October 2020 of 20,036 data professionals ( 2020 Kaggle Machine Learning and Data Science Survey ). Their survey included a variety of questions about data science, machine learning, education and more. I will be exploring their survey data over the next couple of months.

Machine Learning 56

Machine Learning Data Science Software IT 56

datapine

NOVEMBER 27, 2019

In the last decade, we saw so much data produced, stored, and ready to process that companies and organizations were seriously looking for modern data automation solutions to tackle massive volumes of information that has been collected. from 2017 , and this is one of the business analytics topics we will hear even more in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

MAY 20, 2021

note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Protein classification with imbalanced data. The post ML internals: Synthetic Minority Oversampling (SMOTE) Technique appeared first on Data Science Blog by Domino. References.

Machine Learning 136

Machine Learning Metrics Data mining Data Science 136