O'Reilly on Data

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Security is surging.

Data-driven 342

Data-driven Software Statistics Marketing 342

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). Enterprise Machine Learning: . Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

CIO Business Intelligence

APRIL 15, 2022

And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

Analytics 143

Analytics Machine Learning Insurance Testing 143

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. Watermark attacks.

Modeling 227

Modeling Machine Learning Predictive Modeling Consulting 227

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. You may also remember UMBC from the miracle at the 2018 NCAA Tournament.) Deep Learning on Imagery and Text. Introduction.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

Domino Data Lab

JULY 2, 2019

Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. Program Synthesis is Possible ” – Adrian Sampson (2018-05-09).

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Smart Data Collective

MAY 17, 2021

Big data solutions are often created and supported using various technologies from IIoT to machine learning and AI. billion in 2018. All that performance data can be fed into a machine learning tool specifically designed to identify certain events, failures or obstacles. Organizations have already realized this.

Big Data 101

Big Data Cost-Benefit IoT Machine Learning 101

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). The data types used in deep learning are interesting.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

Machine Learning 244

Machine Learning Technology Deep Learning Data Science 244

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 40; it peaked at Strata NY 2018 at No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Insight

MARCH 28, 2019

For the Fall 2018 session of the Insight Fellows Program in NYC, we launched a new partnership with Thinknum , a company that provides alternative data indexed from the web to institutional investors and corporations? Utilize information hidden away in online employee reviews.

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

Insight

DECEMBER 30, 2019

Lauren Holzbauer was an Insight Fellow in Summer 2018. Once these features have been extracted from the image, they can be fed into any machine learning algorithm (e.g. support vector machine) for object detection or another computer vision task. Let’s use our ninja skills to figure out what CNNs are really doing.

Visualization 72

Visualization Modeling Machine Learning IT 72

CIO Business Intelligence

MAY 30, 2024

Most recently, she has served as EVP and chief customer and technology officer at Ameren, which she joined 2018 as SVP and chief digital and information officer before adding customer experience and operations in 2023. It has been around since the 1950s with machine learning. However, this advancement doesn’t come without risks.

Data Quality 85

Data Quality Key Performance Indicator Digital Transformation Management 85