Hacker Earth Developers Blog

OCTOBER 4, 2019

For example, while assessing Data Science candidates, HackerEarth provides a coding interface that allows you to assess a candidate’s Data Science (data analytics and Machine Learning) skills. Cybersecurity professionals are trained to find loopholes in databases, networks, hardware, firewalls, and encryption. Security analysis.

Technical Review 124

Technical Review Security Software Review Recruiting 124

The Crazy Programmer

OCTOBER 26, 2022

The school has many different departments within its walls including artificial intelligence; electronic communications engineering; electrical engineering with embedded systems; engineering management; information technology (IT); materials processing technology & applied mechanics & metallurgy.

Technical Review 133

Technical Review Artificial Inteligence Education Systems Review 133

Mobilunity

JUNE 5, 2023

It is a flexible and scalable solution that can manage large volumes of data and integrate with other systems and services. Machine Learning and Computer Vision Machine Learning and Computer Vision are transformative technologies in the automotive industry.

Automotive 52

Automotive Software Development Software Artificial Inteligence 52

Prisma Clud

JUNE 13, 2024

Example : A company might introduce regular security training sessions for all employees, ensuring that everyone from developers to marketing understands their role in maintaining security. This proactive approach allows for real-time detection and response to security incidents.

Cloud 52

Cloud Software Review Policies Systems Review 52

James Shore

APRIL 27, 2024

Software Engineers Software Engineer 1s still have a lot to learn, but they’re able to contribute to the work of their team without explicit guidance. They work closely with the team’s other technical leads to advise engineering managers on the capabilities and needs of the team. Mastodon LinkedIn Hacker News

Software Engineering 75

Software Engineering Engineering Technical Advisors Software 75

Hacker Earth Developers Blog

OCTOBER 4, 2019

For example, while assessing Data Science candidates, HackerEarth provides a coding interface that allows you to assess a candidate’s Data Science (data analytics and Machine Learning) skills. Cybersecurity professionals are trained to find loopholes in databases, networks, hardware, firewalls, and encryption. Cloud security.

Technical Review 50

Technical Review Security Software Review Engineering Management 50

Apiumhub

APRIL 5, 2022

The sessions are 100 minutes long and will provide training into various organizational, business, and technical topics. Presentations by some of the leading experts, researchers and practitioners in the area. This free program consists of 45-minute panels and will be streamed online on Hyperight youtube and twitter channel.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

StubHub

FEBRUARY 21, 2019

By Corey Reed, Head of Data Science & Satya Gandham, Machine Learning Engineering Manager When you serve millions of customers every year?—?averaging The DO component manages all the data services that we provide to our customers by acting as a data broker for our ML models. averaging more than 1.3

Data 45

Data Machine Learning Artificial Inteligence Engineering 45

Trigent

OCTOBER 1, 2022

For example, a startup that innovates with AI will require full stack application development skills, Cloud infrastructure capabilities, and specialized QA services in addition to the AI/ML resources which form the core of their Engineering team.

Engineering 52

Engineering Technical Review Marketing Minimum Viable Product 52

Hacker Earth Developers Blog

APRIL 27, 2020

You have previously been a Senior Engineering Manager at a tech giant, Google and now you are with Citadel, a top company in the financial space. As in how different has your experience been working in the engineering teams of two different industries (Tech and FinTech)? You learn a thing best by teaching it to others.

Engineering 130

Engineering System Artificial Inteligence SDLC 130

UruIT

DECEMBER 31, 2018

You can also register separately to take a training course from February 3rd to 4th. Run concurrently with DeveloperWeek 2019 , DevExec World is a conference organized specifically for tech executives, engineering managers, and lead developers. If you want to learn about AI and machine learning, check out one of the QCon.ai

Conference 89

Conference CTO Coach Fractional CTO Serverless 89

Altexsoft

APRIL 26, 2022

Informatica Cloud and Informatica PowerCenter are cloud data management tools that work collaboratively with Snowflake. Qlik AutoML — a no-code automated machine learning platform — is a readily available integration with no requirements. Besides, the Hadoop programming environment is quite complex. Pricing page.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

scruminc

JANUARY 26, 2022

Jay Strief, the Group Engineering Manager of Supply Chain Solutions, connects this success in part to managing through supply chain issues and puts it in personal terms. “The Together they helped Supply Chain Solutions navigate the challenges caused by a global pandemic and major supply chain disruptions. .

SCRUM 98

SCRUM Agile Technical Review Analytics 98

Hacker Earth Developers Blog

OCTOBER 4, 2019

For example, while assessing Data Science candidates, HackerEarth provides a coding interface that allows you to assess a candidate’s Data Science (data analytics and Machine Learning) skills. Cybersecurity professionals are trained to find loopholes in databases, networks, hardware, firewalls, and encryption. Cloud security.

Technical Review 24

Technical Review Security Software Review Recruiting 24

O'Reilly Media - Ideas

JULY 28, 2020

It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Agreeing on metrics. Don’t expect agreement to come simply. Deployment.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

O'Reilly Media - Ideas

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

Government 80

Government Artificial Inteligence Machine Learning Testing 80

DataRobot

SEPTEMBER 6, 2022

That’s why DataRobot University offers courses not only on machine learning and data science but also on problem solving, use case framing, and driving business outcomes. And lastly, engineers managing IT or production environments find it simple to connect the DataRobot AI Cloud platform to other tools.

Artificial Inteligence 52

Artificial Inteligence Analytics Data Machine Learning 52

LaunchDarkly

NOVEMBER 16, 2018

And then after a brief stint as a software engineering manager at a small startup I went on to work at Google, where I joined this new nascent team called Site Reliability Engineering, and that teams goal is to be, as a previous speaker mentioned, the master of disaster for Google. So we had to do all that on the fly.

Weak Development Team 49

Weak Development Team CTO Coach Fractional CTO Engineering 49

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. However, the concept is quite abstract.

DevOps 141

DevOps Data Software Review Technical Advisors 141

O'Reilly Media - Ideas

MARCH 24, 2020

If a self-driving car’s decision-making algorithm is trained on data of traffic collected during the day, you wouldn’t put it on the roads at night. To take it a step further, if such an algorithm is trained in an environment with cars driven by humans, how can you expect it to perform well on roads with other self-driving cars?

Data 141

Data Machine Learning Artificial Inteligence Weak Development Team 141

CodeSignal

DECEMBER 18, 2019

It’s time everyone get training.”. Alex Sokolov, Senior Software Engineering Manager at iTechArt Group. I predict in 2020, recruiters will start to get certified in diversity and inclusion. Too often I see and hear the wrong way to go about it. Cheers to that, Brianna!

Recruiting 19

Recruiting Trends Testing Engineering 19