Big Data


[slides] #Monitoring with #ArtificialIntelligence @CloudExpo @Dynatrace #DevOps #AI #ML #DX

#artificialintelligence

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


3 Human Traits We Must Bring to Big Data

#artificialintelligence

But, with a human touch, analytics and machine learning have unlimited potential to enhance the effectiveness of any organization. While recent advancements in artificial intelligence and data analytics are impressive, the results of their collective role in our technological age are still being fine-tuned. When we remove the human from the data equation and operate on machine results alone, we end up with bad data. Advanced machine-learning algorithms help businesses make sense of all the data being captured very quickly and efficiently, but ultimately human input and action are required for accurate processing.


Will Apache Spark Finally Advance Genomic Data Analysis?

@machinelearnbot

The last decade or so has shown massive advancements in the capabilities of storage and data processing like Apache Hadoop and as these big data technologies have grown, so have their uses. Cotton Seed, senior principal software engineer at Broad Institute said that he and his team use genomic research platform they built on Spark, leveraging its SQL querying function and its library of machine learning algorithms. Spark's speed and scalability for data mining and genomic data analysis have made it the number one player in genomics. Overall, Spark has given genomic data analysis the answer it's needed in running real time data seamlessly through a system and offering batch processing applications that are faster than any other platform out there.


Adobe Doubles Down On Academia To Get Smart About AI And Algos AdExchanger

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Adobe is pursuing a different tack: dishing out $50,000 no-strings-attached grants to professors and doctoral students working on projects of joint interest. This past year Adobe awarded a grant to a Stanford professor and graduate student working on sequential recommendations, specifically: How should a platform lead users through video tutorial sequences based on factors like whether that person is on a free version of a product or already a paid subscriber? "[But] another big part is recruiting these machine learning and data science students who are really competitively sought after." It's good for students to consider industry concerns, said Stanford professor Ramesh Johari, who's worked on multiple Adobe research grants, including the sequential learning algorithm.


Emerging Ecosystem: Data Science and Machine Learning Software, Analyzed

@machinelearnbot

We examine which top tools are "friends", their Python vs R bias, and which work well with Spark/Hadoop and Deep Learning, and identify an emerging Big Data Deep Learning ecosystem.


A Pickup Line Generator with Tensorflow – Towards Data Science – Medium

#artificialintelligence

After making sure the model output was reasonable I then trained on my own data set. As an experiment, I trained for 200 some odd epochs until the accuracy did get very high, but the model began outputting lines it had seen before. It became clear that the network might not be large enough to get higher accuracy but it seemed reasonable enough to begin the second round of training on the pickup line data using the weights from the model trained on Twitter data. Sometimes the simple approach works good enough.


Container Considerations on Your #DevOps Journey @DevOpsSummit #AI #Docker #Serverless

#artificialintelligence

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


Disruptive Innovations Fuel #DigitalTransformation @CloudExpo #AI #DX #IoT #M2M

#artificialintelligence

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


Making data analytics work for you--instead of the other way around

#artificialintelligence

For more on the context and challenges of harnessing insights from more data and on using new methods, tools, and skills to do so, see "Is big data still a thing?," blog entry by Matt Turck, February 1, 2016, mattturck.com;


65 Free Data Science Resources for Beginners Deep_In_Depth : Data Science and Deep Learning

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I emphasize mathematical/conceptual foundations because implementations of ideas(ex. Anybody with an interest in deep learning can and should try to understand why things work. Second, the success of deep learning can contribute to useful hypotheses and models for computational neuroscience. In fact, data compressors and machine learning models approximate Kolmogorov Complexity which is the ultimate data compressor.