AI News, Data Science Deployed – Opening Keynote for PyConSE 2015

Data Science Deployed – Opening Keynote for PyConSE 2015

I’ve just had a fab couple of days at PyConSE in Stockholm, I really enjoyed giving the opening keynote (thanks!) and attending two days of interesting talks.

The goal of my talk was to show use-cases for why you should do data science, why it is valuable, how to do it successfully with Python and how get the data products deployed.

also plugged PyDataBerlin, our upcoming PyDataLondon (June 19-21, CfP open for just 1 more week) and EuroSciPy on stage, hopefully we’ll see a few more international visitors.

The following talks from yesterday will interest you, I hope the videos come online soon: Here’s a couple of extra links that might be interesting: Here’s Ilian Iliev’s review of the conference too.

Top 10 TED Talks for the Data Scientists

through TED.com, they also schedule annual conferences, and local TEDx events. TEDTalks shares the best ideas from the TED Conference with the world, for free: trusted voices and convention-breaking mavericks, icons and geniuses, all giving the talk of their lives in 18 minutes.

Bio: Devendra Desale(@DevendraDesale) is a data science graduate student currently working on text mining and big data technologies.

Data Science Invited Talk Series

Abstract: Just like electricity, the automobile, the Internet, and mobile phones transformed the 20th century, deep learning is transforming the 21st century, changing how people perceive and interact with technology, enabling machines perform a wider range of tasks, in many cases doing a better job than humans.

These applications include: voice assistants on our smartphones, product recommendation engines, self-driving cars, deep fakes, high frequency stock market trading, applications for social good (combating crime), playing games (from Go to Atari), preventing credit card fraud, filtering out spam from our email inboxes, detecting and diagnosing medical diseases, the list goes on and on.

In addition, this talk will show how reverse mode autodiff provides an efficient and effective calculus framework that is transforming how we do machine learning and how we should teach it.

Bio: Jimi has spent the past 25 years developing and researching cutting-edge artificial intelligent systems splitting his time between industry and academia.

Jimi has been affiliated with the University of California at Berkeley and at Santa Cruz since 2008 where he teaches graduate courses on big data analytics, machine learning, deep learning, and stochastic optimization.

Doing Data Science: Straight Talk from the Frontline 1st Edition

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A Guide to Data Science, Developer, and Deep Dive Talks at Spark + AI Summit Europe

In October 2012, Harvard Business Review put a spotlight on the data science career with a dedicated issue and a catchy claim: Data Scientist: The Sexiest Job of the 21st Century. Last

Because of this unique combination of skills spanning domains—from software engineering to data exploration and communication to strong knowledge of maths and statistics—the demand for this new career exceeds the supply—even today.

And this October, you can join these data scientists and developers at Spark + AI Summit Europe and learn from them as they offer their insight into use cases in how they combine data and AI, to build models, convey data stories, and garner insights.

In this blog, we highlight selected sessions that speak to their endeavors in combining the immense value of data and AI from three specific tracks that cover knowledge across the domains shown in the Venn diagram above.

If you are a data storyteller and you revel in the notion of how story shapes and influences decisions or shifts opinions, then this topical talk, Rejecting the Null Hypothesis of Apathetic Retweeting of US Politicians and SPLC-defined Hate Groups in the 2016 US Presidential Election, from Raazesh Sainudiin of Canterbury University, reveals how to analyze social tweets and build geometric models to portray a visual summary of neighbor-joined population ideological trees.

Similarly, Jerry Schirmer of SparkCognition in his topical talk, Time-Series Anomaly Detection in Plaintext Using Apache Spark, will share how to identify shifts in public sentiments and identify anomalies in unstructured time-series plaintext data such as news articles, tweets, and publications using Apache Spark.

Rui Vieira of Red Hat will reveal the mystery in his talk: Building Streaming Recommendation Engines on Apache Spark Extracting features, doing sentiment analysis, developing data science projects, and building recommendations engines are many challenges data scientists and developers face.

The Art of Data Storytelling with Isaac Reyes

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Dominic Hill at TEDxFactory798

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Documentation Of Lithic Artifacts Using An Inexpensive Reflectance Transformation Imaging System

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Chinese President Visits Microsoft Headquarters, Calls for Cooperation in Technical Innovation

Chinese President Xi Jinping on Wednesday visited the Microsoft headquarters in Redmond, Washington State, and called for cooperation in technical ...

Applying Behavioral Science to the Challenges of Cybersecurity

Deanna Caputo, a behavioral scientist in MITRE's Social, Behavioral, and Linguistic Sciences Department, uses her expertise in human nature to help design ...

Vincent Granville Co-Founder of Data Science Central Interview on The Traders Network Show

Vincent Granville Co-Founder of Data Science Central was Interviewed Live on Clear Channel / iHeart Business Business Talk Radio The Traders Network ...

Comparison of These Parts of ML - Georgia Tech - Machine Learning

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What Is Put To Call Ratio?

The put-call ratio is a popular tool specifically designed to help individual investors gauge the overall sentiment (mood) of the market. The ratio is calculated by ...

Ex-NSA Analysts on Their Top-Secret Discoveries

Two former National Security Agency analysts talk about when they discovered the agency was collecting more data on American citizens.

Building Augmented Reality Experiences with Unity3D - Abhishek Singh - CS50 Tech Talk

CS50 presents... a tech talk on augmented reality (AR) by Abhishek Singh, Resident Researcher at NYU. "Watch this guy play Super Mario Bros. IRL in Central ...