AI News, 12 data science mistakes to avoid

12 data science mistakes to avoid

organizations large and small are looking at AI tools and services in hopes of improving business processes, customer support and decision making with big data, predictive analytics and automated algorithmic systems.

But expertise in data science isn’t nearly as widespread as the interest in using data to make decisions and improve results.

“The majority of your time, often 80 percent of your time, is going to be spent getting and cleaning data,” says Jonathan Ortiz, data scientist and knowledge engineer at data.world.

#219: McKinsey & Company (McKinsey Global Institute) on Artificial Intelligence and Machine Learning

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Future of Work: Digital Transformation, AI, Big Data, and business analytics (#237)

What are the implications of digital transformation, technology, machine learning, and new business models on the future of work? The impact of big data and ...

Jia Li: Machine learning and artificial intelligence could transform health care and education

Developing machine learning capabilities will require heavy investment and the cultivation of a generation of developers with a background in data science.

Bringing AI and machine learning innovations to healthcare (Google I/O '18)

Could machine learning give new insights into diseases, widen access to healthcare, and even lead to new scientific discoveries? Already we can see how ...

The Rise of the Machines – Why Automation is Different this Time

Automation in the Information Age is different. Books we used for this video: The Rise of the Robots: The Second Machine Age: ..

The Math Behind Basketball's Wildest Moves | Rajiv Maheswaran | TED Talks

Basketball is a fast-moving game of improvisation, contact and, ahem, spatio-temporal pattern recognition. Rajiv Maheswaran and his colleagues are analyzing ...

Time Series Analysis in Python | Time Series Forecasting | Data Science with Python | Edureka

Python Data Science Training : ** This Edureka Video on Time Series Analysis n Python will give you all the information you ..

Anomaly Detection: Algorithms, Explanations, Applications

Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking ...

Top 10 movies on Data Science & Machine Learning (2018)

If you are a good data analyst and movie lover, then this is one stop solution for your hunger of inspiration. Data enthusiast must see how the Artificial ...

Artificial intelligence: Past, present, but is the future just about machine learning? - BRK2277

This talk covers the current Microsoft AI platform but it neatly brings in the past, even a bit of LISP, and it highlights the current opportunity based on SQL Server ...