Unlock your full potential with interviewDB — the ultimate toolkit for acing your AI & ML job interviews. Immerse yourself in our extensive database, featuring expertly crafted questions and answers across key areas like Large Language Models (LLM), Prompt Engineering, Deep Learning, and much more. Elevate your preparation with our comprehensive resources designed to transform any interview into a triumphant job offer.
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
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AI Engineers wannabes.
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Think of interviewDB as your secret weapon, equipping you with insider knowledge that feels like having an expert whispering in your ear. Get ready to conquer the challenges ahead and turn your career aspirations into reality.
interviewDB offers a distinctive blend of personalized preparation tools, expert-curated interview questions from top companies, and actionable feedback. Led by our founder Leon, who brings invaluable hiring experience from FAANG companies, our platform provides insider insights that directly contribute to our users' success. Our unbeatable customer service and knowledgeable staff ensure that you're not just prepared, but 100% interview-ready.
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Current and Relevant Content: InterviewDB offers the most current set of questions in AI & ML, which is crucial given the fast pace at which these fields evolve. This ensures that users are preparing with the latest and most relevant material, giving them an edge in a highly competitive job market.
Specialization in AI & ML: By focusing specifically on AI and Machine Learning, interviewDB can offer more in-depth and specialized content than generalist competitors. This specialization makes it a preferred choice for candidates looking to excel specifically in these cutting-edge fields.
Quality and Precision: With up-to-date questions, interviewDB likely ensures high quality and precision in its content. This can help candidates feel more confident in their preparation, knowing they are studying material that closely reflects current industry standards and expectations.
Preparation Efficiency: Using the most recent questions means users are spending their study time efficiently, learning techniques and solving problems that are most likely to appear in actual interviews. This efficiency can be a significant advantage when preparing under time constraints.
Competitive Advantage: Being well-prepared with the latest questions in AI & ML can provide candidates a significant competitive advantage during interviews. It demonstrates to potential employers that the candidate is not only skilled but also proactive and well-informed about the latest developments in their field.
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AI Engineer Candidates: Individuals specifically aiming to secure roles as AI engineers, who need to be proficient in the latest algorithms, programming techniques, and industry standards relevant to artificial intelligence.
Software Engineers Aiming for AI Roles: Software engineers who are looking to pivot or specialize in AI. This group includes those who may already have some foundation in software development but need to upskill to meet the specific demands of AI-related positions.
Data Scientists: This audience comprises professionals who utilize statistical models and machine learning techniques to interpret complex data. They are often looking for resources to help them transition into more AI-focused roles or to enhance their capabilities in machine learning as part of their current positions.
Researchers in AI and ML: Academics and industrial researchers whose work involves developing new AI and ML theories, algorithms, or applications. They benefit from interviewDB by keeping abreast of industry-relevant questions and scenarios that may aid in both practical applications of their research and transitioning to industry roles.
These groups are characterized by their need to stay updated with the most current knowledge and practices in AI and ML to remain competitive and effective in their respective fields. They seek resources like interviewDB to ensure they are well-prepared for the rigorous technical interviews that are common in the industry.
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The story behind interviewDB is rooted in the founder's firsthand experiences at a FAANG company, where they not only worked in the fields of AI and machine learning (ML) but also interviewed many candidates. Drawing from these experiences, the founder recognized a gap in how candidates were prepared for interviews, particularly in the highly specialized areas of AI and ML. This insight led to the creation of interviewDB.
The founder's goal was to build a platform that would not only assist individuals in acing their technical interviews by providing them with the most up-to-date and relevant questions but also aid companies in refining their hiring processes. By offering a curated set of current and challenging AI and ML interview questions, interviewDB helps ensure that companies can assess candidates more effectively, making the hiring process more efficient and aligned with industry standards.
Ultimately, interviewDB was founded with a dual purpose: to empower job seekers to better prepare for interviews in the competitive fields of AI and ML, and to help companies make more informed hiring decisions. This dual focus on individual and corporate needs positions interviewDB as a valuable resource in the tech hiring landscape.
Based on our record, Looker seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: about 1 year ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 1 year ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 2 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 2 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 2 years ago
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