KDnuggets

FEBRUARY 1, 2024

Learn about the most common questions asked during data science interviews. This blog covers non-technical, Python, SQL, statistics, data analysis, and machine learning questions.

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Data Science Machine Learning Data Analysis SQL 121

databricks

FEBRUARY 1, 2024

As Chief Scientist (Neural Networks) at Databricks, I lead our research team toward the goal of giving everyone the ability to build and.

Building 132

Building Engineering 132

Knowledge Hut

FEBRUARY 1, 2024

Cyber security has become the top concern for individuals and businesses. As digitalization increases, the risk of cyberattacks grows. That is why investing in the best laptop for cyber security is essential which can help you keep your data safe more than ever. As a result, hackers will not be able to steal your information. The best laptop for IT security professionals protects personal information with high-end security features, such as multi-factor authentication.

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Designing Certification Media Systems 98

KDnuggets

FEBRUARY 1, 2024

Tune in to these 5 AI podcasts at the gym or on your commute to keep up to date with the world of AI.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

Knowledge Hut

FEBRUARY 1, 2024

When I started off with learning how to code, it was important for me to understand the terminology used. Variables in Python are fundamental containers used for storing and manipulating data in a program. The scope of a variable helps us understand up until which point is the variable valid. In Python programming, variables are the backbone of data manipulation and program logic.

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Python Programming Language Programming Algorithm 98

Cloudera

FEBRUARY 1, 2024

Delivering transformational innovation and accurate business decisions requires harnessing the full potential of your organization’s entire data ecosystem. Ultimately, this boils down to how reliable and trustworthy the underlying data that feeds your insights and applications is. This applies to modern generative AI solutions that are particularly reliant on trusted, accurate, and context-specific data.

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Cloud Architecture Utilities Designing 81

Precisely

FEBRUARY 1, 2024

“Data is a key ingredient in deeper insights, more informed decisions, and clearer execution. Advanced firms establish practices to ensure data quality, build data fabrics, and apply insights where they matter most. Respondents from advanced firms are almost three times more likely than beginners to prioritize using insights for decision-making (66% versus 25%, respectively) and 1.5 times more likely to cite their work with third-party service providers to commercialize their data as an importan

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Healthcare Finance Data Data Integration 64

Knowledge Hut

FEBRUARY 1, 2024

Every time someone uses the internet, more data is added. We need assistance from various Data Science methodologies to make sense of this enormous amount of data and use it for the company's objectives, etc. Data science for eCommerce has been one of the most impactful technologies in recent years. Businesses use data science applications in e-commerce and machine learning to improve customer experiences and keep website visitors interested.

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Data Science Retail Algorithm Manufacturing 96

Towards Data Science

FEBRUARY 1, 2024

And 5 ways to use it in data science and machine learning Continue reading on Towards Data Science »

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Data Science Machine Learning Data Coding 86

WeCloudData

FEBRUARY 1, 2024

Revolutionize healthcare with machine learning for early disease detection. Explore cutting-edge solutions improving everyday health, ensuring timely interventions for a healthier future. #HealthTech #MachineLearning #DiseaseDetection The post Enhancing Everyday Healthcare with Machine Learning: Early Disease Detection appeared first on WeCloudData.

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Healthcare Machine Learning Data Science Data 52

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Knowledge Hut

FEBRUARY 1, 2024

The dynamic landscape of the 2020 decade is witnessing new challenges in UX design. From volatile user expectations to designing for multiple devices, UX designers are challenged at every step to think creatively and innovatively. Especially when developments like AI designer bots have fostered uncertainty amongst designers who worry whether they’ll get replaced.

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Designing Portfolio Data Collection Insurance 52

databricks

FEBRUARY 1, 2024

In this blog post, we will share how you can use Databricks SQL Materialized Views with Lakeview dashboards to deliver fresh data and.

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SQL Data 57

Knowledge Hut

FEBRUARY 1, 2024

In the fast-paced world of business today, where adaptability and efficiency are key, project management is like the secret sauce for success. I've spent years in the trenches of project management, and let me tell you, it's a world where two key players take the stage: the Scrum Master and the Project Manager. They're like the dynamic duo, each with their own way of steering projects towards victory.

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Project Management Consulting Certification 52

Snowflake

FEBRUARY 1, 2024

It’s not hyperbole to say that generative AI (gen AI) is radically transforming the advertising, media and entertainment industry. There has been widespread excitement about the potential of gen AI to open brand-new creative opportunities and unlock unprecedented efficiencies. At the same time, there has been understandable concern about issues such as inherent bias, deep fakes and the impact of gen AI on jobs.

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Entertainment Media Data Governance Government 77

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Knowledge Hut

FEBRUARY 1, 2024

Let me introduce you to Priya, a budding developer from Mumbai. When Priya first started using AngularJS for her startup's website, she didn't pay much attention to logging. She thought it was just about catching errors. But soon, she faced a tricky bug that was hard to trace and she discovered the true power of logging. It wasn't just for errors but it was a window into the inner workings of her application.

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Robinhood

FEBRUARY 1, 2024

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in. … We are thrilled to announce Robinhood Canada’s hiring expansion in Toronto.

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Finance Software Engineer Software Engineering Accessible 84

Knowledge Hut

FEBRUARY 1, 2024

As a business analyst, having a common language and clear ways of working is super important. It is like having a roadmap for smooth teamwork, especially in the ever-changing world of business analysis. In my professional journey as a business analyst, I dive into a lot of information, handle different tasks, and build connections with my team and work with a variety of organization sizes ranging from startups, mid-size organizations to Fortune 500 companies.

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Business Analyst Retail Business Intelligence Government 98

Knowledge Hut

FEBRUARY 1, 2024

While building predictive models, if your results aren’t satisfactory, then the two things that can go wrong are data or models. Choosing the right data is the first step in any data science application. Then comes the data format. You cannot expect your analysis to be accurate unless you are sure that the data on which you have performed the analysis is free from any kind of incorrectness.

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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.

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