KDnuggets

OCTOBER 12, 2022

Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?

Deep Learning 160

Deep Learning Machine Learning IT 160

Teradata

OCTOBER 12, 2022

ClearScape Analytics provides robust functionality giving people across the organization the ability to efficiently execute their roles in the analytics process on a common platform.

Process 105

Process 105

KDnuggets

OCTOBER 12, 2022

Interview Kickstart’s Machine Learning Interview Course is the first-of-its-kind, ML-specific tech interview prep program designed and taught by FAANG+ instructors. Learn more about the program.

Machine Learning 132

Machine Learning IT Engineering Programming 132

Netflix Tech

OCTOBER 12, 2022

A conversation between Travis Brooks, Netflix Product Manager for Experimentation Platform, and George Khachatryan, OfferFit CEO Note: I’ve known George for a little while now, and as we’ve talked a lot about the philosophy of experimentation, he kindly invited me to their office (virtually) for their virtual speaker series. We had a fun conversation with his team, and we realized that some parts of it might make a good blog post as well.

Building 75

Building Designing Management Algorithm 75

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Database

KDnuggets

OCTOBER 12, 2022

10 Cheat Sheets You Need To Ace Data Science Interview • NLP Interview Questions • A Day in the Life of a Machine Learning Engineer • 11 Questions About Data Engineers: What's the profession about, and where's it heading? • The ABCs of NLP, From A to Z.

Data Science 118

Data Science Machine Learning Data Engineering Data Engineer 118

phData: Data Engineering

OCTOBER 12, 2022

So you’ve heard all the talk around dbt , but now you’re working to determine if you should go with dbt Core or dbt Cloud and you’re wanting to know what advantages dbt Cloud has over the free dbt Core offering. Upon a quick trial and look at dbt Cloud, the primary things you might notice are the IDE as well as the ease of managing deployments. However, dbt Cloud offers you much more than that.

Cloud 52

Cloud Metadata SQL Data Warehouse 52

Striim

OCTOBER 12, 2022

I am excited to share with you that Striim is a proud participant in the Microsoft Intelligent Data Platform partner ecosystem as announced at Microsoft Ignite 2022. We have a history of working with Microsoft to help provide our mutual customers with access to enhanced data insights in real time, allowing them to make decisions the moment data is created.

BI 52

BI Data Integration Government Data 52

KDnuggets

OCTOBER 12, 2022

Three skills I have learned in a year have opened a new world of possibilities for me.

Data 128

Data 128

Lyft Engineering

OCTOBER 12, 2022

Pain Points of Traditional Automated UI Tests Creating a great modern-day software product requires a shift-left approach to testing by ensuring faster, more frequent, and earlier testing. Shift-left testing is an approach to software testing and system testing in which testing is performed earlier in the lifecycle (i.e., moved left on the project timeline).

Architecture 52

Architecture Coding Utilities Engineering 52

Pinterest Engineering

OCTOBER 12, 2022

Khubi Shah | (former) Software Engineer Intern, Shopping Content Mining This summer, I had the incredible opportunity to intern at the one and only Pinterest from the new engineering hub in Toronto! I am a final year undergraduate student from the University of Waterloo, majoring in Computer Science with an AI specialization. Growing up, Pinterest was always my go-to social media platform, as it inspired me with new ideas for food, fashion, design, or anything creative!

Software Engineer 52

Software Engineer Software Engineering Engineering Recruitment 52

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

DataKitchen

OCTOBER 12, 2022

Can you draw a map of all the paths data takes from source systems to production insight delivery? How many tools, technologies, configurations, and paths do your data take during its production process? What is the ‘run-time lineage’ of data in your organization? The post Map and Monitor Your Data Journey first appeared on DataKitchen.

Data 52

Data Technology Systems Process 52