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. Of course, other BI tools such as Power BI and Qlikview also have their own advantages. From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

CDW Research Hub

JULY 31, 2019

Recent advances in machine learning, and more specifically its subset, deep learning, have made it possible for computers to better understand natural language. inform{"startdate": "2019-10-03T00:00:00", "enddate": "2019-10-13T00:00:00"}. utter_ask_who. inform{"people": "1"}. utter_ask_where. utter_ask_duration.

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

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%. But sustained interest in cloud migrations—usage was up almost 10% in 2019, on top of 30% in 2018—gets at another important emerging trend. Still cloud-y, but with a possibility of migration.

Data-driven 335

Data-driven Software Statistics Marketing 335

Cloudera

NOVEMBER 15, 2021

Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. In 2019 OpenAI reported that the computational power used in the largest AI trainings has been doubling every 3.4 Here we briefly describe some of the challenges that data poses to AI. Data annotation.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

Insight

AUGUST 17, 2020

Kim Vo (Coaching & Development Lead, Interview Strategy Team) and Emily Kearney (Program Director, Data Science) during the fall session, September 2019. topics that we don’t often have the chance to talk about candidly in our day-to-day work; topics that nevertheless tie into how we experience the workplace and interact with each other.

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. The drawback of GAMs is that they do not allow feature interactions.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

datapine

NOVEMBER 19, 2019

While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Already in our shortlist of tech buzzwords 2019, artificial intelligence is on the front scene for next year again. Artificial Intelligence (AI). Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The paper determined the technique not fit for clinical use.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. Rinse, lather, repeat. Those are table stakes in this game.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 2, 2019

See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. The authors of AutoPandas observed that: The APIs for popular data science packages tend to have relatively steep learning curves. Program Synthesis 101 ” – Alexander Vidiborskiy (2019-01-20).

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Smart Data Collective

OCTOBER 14, 2019

Ludwig is a tool that allows people to build data-based deep learning models to make predictions. In September 2019, Google decided to make it’s Differential Privacy Library available as an open-source tool. It allows secure and interactive SQL analytics at the petabyte scale.

Data Science 67

Data Science Machine Learning Big Data Interactive 67

bridgei2i

APRIL 13, 2020

billion in 2019 to $7.0 To be fair, Computer Vision as the software has been at a tipping point and will reach its peak due to the hype cycle in the next few months, undoubtedly spiking massive advances in deep learning algorithms and graphic processors. billion by 2024 in the US.

Insurance 52

Insurance Manufacturing Deep Learning Enterprise 52

Domino Data Lab

MAY 8, 2019

For example, in the case of more recent deep learning work, a complete explanation might be possible: it might also entail an incomprehensible number of parameters. Jupyter Book: Interactive books running in the cloud ” by Chris Holdgraf (2019-03-27). Generally, you cannot get both.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

O'Reilly on Data

MAY 21, 2019

Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. Machine learning is not only appearing in more products and systems, but as we noted in a previous post , ML will also change how applications themselves get built in the future.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Business Over Broadway

DECEMBER 20, 2018

Using Predictive Analytics and Artificial Intelligence to Improve Customer Loyalty – As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

O'Reilly on Data

JANUARY 25, 2021

We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks. Year-over-year (YOY) growth compares January through September 2020 with the same months of 2019. O’Reilly Online Learning.

Machine Learning 363

Machine Learning Software Testing Technology 363

Domino Data Lab

SEPTEMBER 9, 2019

Here’s an interactive visualization for understanding texts: scattertext , a product of the genius of Jason Kessler. Once you have the corpus ready, generate an interactive visualization in HTML: In [23]: html = st.produce_scattertext_explorer(?. deep learning on edge devices. get_data(). ?corpus

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110