365Data Science

AI and Automation meets BI

Organizations use a variety of BI tools to analyze structured data. These tools are used for ad-hoc analysis, and for dashboards and reports that are essential for decision making. In this post, we describe a new set of BI tools that continue this trend. Originally from KDnuggets https://ift.tt/2IPeGlR source https://365datascience.weebly.com/the-best-data-science-blog-2020/ai-and-automation-meets-bi

Data Collection and Preparation: Join us through the ML Project Life Cycle

Photo by Drew Graham on Unsplash Welcome back to our blog post series where you’ll learn how we run machine learning projects. In the first part of this series you’ve already learned about the different phases of the project lifecycle. Today, we take a closer look at the first two very important phases: data collection andContinue reading “Data Collection and Preparation: Join us through the ML Project Life Cycle”

What if the machine decides to defraud you?

Fintechs need to innovate about AI assistants. illustration from creativemarket.com Innovative financial business models in fintech provide progressive products and services which make our everyday lives easier, by transacting our actions on the go. Siri wasn’t really responsive, when I whispered to her, asking her to pay for my shopping at Earl’s Court Sainsbury’s. She wasContinue reading “What if the machine decides to defraud you?”

Compute Goes Brrr: Revisiting Suttons Bitter Lesson for AI

“It’s just about having more compute.” Wait, is that really all there is to AI? As Richard Sutton’s ‘bitter lesson’ sinks in for more AI researchers, a debate has stirred that considers a potentially more subtle relationship between advancements in AI based on ever-more-clever algorithms and massively scaled computational power. Originally from KDnuggets https://ift.tt/35IqX4s sourceContinue reading “Compute Goes Brrr: Revisiting Suttons Bitter Lesson for AI”

Kubernetes vs. Amazon ECS for Data Scientists

In this article, we’ll look at two container management solutions — Kubernetes and Amazon Elastic Container Service (ECS) — from a perspective that makes sense for aspiring and current data scientists. Originally from KDnuggets https://ift.tt/36Pv8L5 source https://365datascience.weebly.com/the-best-data-science-blog-2020/kubernetes-vs-amazon-ecs-for-data-scientists

365 Data Use Cases: Data Science and Spend Data Classification with Susan

Hi! I am Susan Walsh – the Classification Guru – and I’m happy to join 365 Data Science in their great initiative: 365 Data Use Cases. I specialize in spend data classification. It also happens to be my favorite data use case and I am excited to share more about it with you in thisContinue reading “365 Data Use Cases: Data Science and Spend Data Classification with Susan”

Top KDnuggets tweets Nov 11-17: Data Engineering the Cousin of Data Science is Troublesome

Also 6 Things About #DataScience that Employers Don’t Want You to Know; NLP - Zero to Hero with #Python #NLProc; 5 Tricky SQL Queries Solved – Explaining the approach to solving a few complex #SQL queries. Originally from KDnuggets https://ift.tt/2KlceUS source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-kdnuggets-tweets-nov-11-17-data-engineering-the-cousin-of-data-science-is-troublesome

Primer on TensorFlow and how PerceptiLabs Makes it Easier

With PerceptiLabs, beginners can get started building a model more quickly, and those with more experience can still dive into the code. Given that PerceptiLabs runs TensorFlow behind the scenes, we thought we’d walk through the framework so you can understand its basics, and how it is utilized by PerceptiLabs. Originally from KDnuggets https://ift.tt/3kKjndG sourceContinue reading “Primer on TensorFlow and how PerceptiLabs Makes it Easier”

Hypothesis Vetting: The Most Important Skill Every Successful Data Scientist Needs

A well-thought hypothesis sets the direction and plan for a Data Science project. Accordingly, a hypothesis is the most important item for evaluating whether a Data Science project will be successful. Originally from KDnuggets https://ift.tt/32Xmlpk source https://365datascience.weebly.com/the-best-data-science-blog-2020/hypothesis-vetting-the-most-important-skill-every-successful-data-scientist-needs

Mobile Tech Trends 2021: Era of Immersive Technologies

What does the future hold? Here are the forecasted mobile app trends for 2021 on the basis of Stats. Top 8 Mobile application development trends. We all know how much technology is focused and new trends so moving along with trends is important for business growth. Let’s read more about trends. Mobile Tech Trends 2021: Era ofContinue reading “Mobile Tech Trends 2021: Era of Immersive Technologies”