O'Reilly Media - Data

JULY 18, 2018

It’s no secret that companies place a lot of value on data and the data pipelines that produce key features. In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

ParkMyCloud

DECEMBER 11, 2020

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. If you know where to look, open-source learning is a great way to get familiar with different cloud service providers. .

Google Cloud 97

Google Cloud Training Resources Cloud 97

CIO

JUNE 23, 2023

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization.

Strategy 290

Strategy Technical Review Data Software Review 290

CIO

SEPTEMBER 2, 2022

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data 246

Data Machine Learning Artificial Inteligence Training 246

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 52

Course Training Artificial Inteligence Software Review 52

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 48

Course Training Artificial Inteligence Machine Learning 48

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. “But now we are running into the bottleneck of the data. . “But now we are running into the bottleneck of the data.

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Analytics 362

Analytics KPI IoT Azure 362

InfoQ Culture Methods

MARCH 19, 2020

The book AI Crash Course by Hadelin de Ponteves contains a toolkit of four different AI models: Thompson Sampling, Q-Learning, Deep Q-Learning and Deep Convolutional Q-learning. It teaches the theory of these AI models and provides coding examples for solving industry cases based on these models.

Course 104

Course Software Review Industry Examples 104

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. We work with the largest companies in the world to help tackle their most challenging ML problems.

Machine Learning 81

Machine Learning Artificial Inteligence Telecommunications Enterprise 81

Altexsoft

AUGUST 25, 2021

Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech. Which of course means that there’s an abundance of research in this area. Not all language models are as impressive as this one, since it’s been trained on hundreds of billions of samples.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 88

Big Data Technology Tools Cloud 88

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Data Innovation Summit is here to help you hear cutting-edge content, meet and engage with peers and find solutions to your most pressing challenges. This year’s focus is on cloud economics, cloud management, architecture, hybrid and multi-cloud setup, and much more.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

O'Reilly Media - Ideas

JULY 1, 2019

But we are also beginning to see AI and machine learning gain traction in areas like customer service and IT. One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. numpy, TensorFlow, etc.).

Software Development 66

Software Development Artificial Inteligence Software Machine Learning 66

DataRobot

MARCH 10, 2022

With Snowflake’s newest feature release, Snowpark , developers can now quickly build and scale data-driven pipelines and applications in their programming language of choice, taking full advantage of Snowflake’s highly performant and scalable processing engine that accelerates the traditional data engineering and machine learning life cycles.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Cloudera

DECEMBER 20, 2022

McKinsey estimates that the use of data-driven technologies can drive operating and maintenance cost savings of more than 12%. For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Energy 80

Energy Analytics Data Machine Learning 80

O'Reilly Media - Ideas

MARCH 6, 2019

Get hands-on training in machine learning, AWS, Kubernetes, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Course 11

Course Artificial Inteligence Training Microservices 11

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

O'Reilly Media - Data

JULY 10, 2018

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them. The hard thing about being an ethical data scientist isn’t understanding ethics. It’s doing good data science. It’s the junction between ethical ideas and practice.

Data 173

Data Weak Development Team Software Review Culture 173

InnovationM

APRIL 18, 2024

Of course, implementing AI for predictive maintenance isn’t without its challenges. There are also concerns about data privacy and security, as well as the need for ongoing training to ensure that technicians can effectively utilize AI tools.

Industry 52

Industry Artificial Inteligence Artificial Intelligence Games 52

Altexsoft

AUGUST 29, 2023

This article explains what a data lake is, its architecture, and diverse use cases. The goal is to provide a comprehensive guide that can be a navigational tool for all specialists plotting their course in today’s data-driven world. What is a data lake? Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

TechCrunch

SEPTEMBER 29, 2022

The startup, built by Stiglitz, Sourabh Bajaj , and Jacob Samuelson , pairs students who want to learn and improve on highly technical skills, such as devops or data science, with experts. Some classes, like this SQL crash course , are even taught by CoRise employees.

Course 180

Course Technical Review Machine Learning Artificial Inteligence 180

Existek

SEPTEMBER 28, 2023

Developers often have specialized roles based on their areas of expertise, like machine learning, computer vision, natural language processing, deep learning, robotics process automation, etc. Besides, their responsibilities include considering such factors as data type, volume, complexity, etc.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

High Scalability

MARCH 17, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Who's Hiring? Apply here. Try the 30-day free trial!

Education 42

Education PHP System Design Advertising 42

High Scalability

MARCH 3, 2020

Learn how world-class tech companies crush the hiring game! Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data.

Research 45

Research Education Video PHP 45

High Scalability

FEBRUARY 18, 2020

Learn how world-class tech companies crush the hiring game! Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data.

Research 45

Research Education Video PHP 45

High Scalability

MARCH 24, 2020

You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc. Learn how to train interviewers so everyone's on the same page.

Education 42

Education Software Engineering PHP System Design 42

High Scalability

FEBRUARY 9, 2020

Learn how world-class tech companies crush the hiring game! Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data.

Research 43

Research Education Video PHP 43

High Scalability

MARCH 30, 2020

You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc. Learn how to train interviewers so everyone's on the same page.

Education 42

Education System Design Software Engineering PHP 42

High Scalability

APRIL 14, 2020

You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc. Learn how to train interviewers so everyone's on the same page.

Education 42

Education System Design Scalability Software Engineering 42

High Scalability

MAY 12, 2020

You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc. Learn how to train interviewers so everyone's on the same page.

Education 41

Education System Design Scalability Software Engineering 41

High Scalability

APRIL 28, 2020

You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc. Learn how to train interviewers so everyone's on the same page.

Education 41

Education System Design Scalability Software Engineering 41