Artificial Intelligence: The next frontier for Asian companies

AI is key to unlocking future corporate and economic competitiveness according to Lenovo  The aggressive adoption of artificial intelligence (AI) by businesses in Asia continues to grow. Just last year, Frost & Sullivan predicted that the continent will soon overtake U.S. in the use of AI in the workplace. In 2016, Asia posted total AI investments close to the $200 billion mark. Paving the way for this continued acceleration is Lenovo, the leading global technology brand. Earlier this year, Lenovo announced that it would invest $1.2 billion in AI, big data and IoT research and development over the next four years, reinforcing the (more…)

Engaged Talks: Machine Learning for Social Good

The Hub of Innovation For Inclusion together with Garage Academy bring you:

Engaged Talks: Machine Learning For Social Good with Johan Janssens

August 8, 2017
6:00pm to 9:00pm
The Loop
12F School of Design and Arts

Johan is the co-Founder of Joomla!, founder of Nooku, a Technopreneur, Web Architect, Speaker, Free Software Advocate, Startup Advisor, and a world traveler.

#EngagedTalks is a series of short talks, music, and refreshments. Everyone can join in on the conversation about #MachineLearning and #SocialGood!

Image: Steffon Davis
steffondavis.com

50 slots only, RSVP now at goo.gl/fFGs11

Register Here

https://www.facebook.com/events/111814256138156

TensorFlow for Beginners

TensorFlow is an open-source software library for Machine Intelligence. It is being used to power a number of Google services involving various perceptual and natural language understanding tasks. The library of algorithms allows computer systems to mimic human’s ability to learn and reason. TensorFlow was originally developed by researchers working on the Google Brain Team with Google’s Machine Intelligence research organization.

This lecture provides a quick overview of the background and functionalities of TensorFlow, as well as its wide array of application areas. Basic concepts needed to give you a head start in using the library will also be covered.

Register Here

https://www.meetup.com/gdgphilippines/events/238315208/

RAID THE FRIDGE: Google! Machine Learning

Machine Learning for Dummies?

Yeah, why not. If you google “machine learning,” the top-ranked result will say it is “a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed.”

But what does it all mean exactly? Let’s find out together the current state of Machine Learning from Franco Eisma, Cloud Crusader at Google. He’ll walk us through the meaning and impact of Machine Learning to organisations, jobs, society as a whole , and what can we expect from future services.

Who should attend? While open to the #startupPH community, we’d like to make a special shoutout to tech and product teams!

We’re re-stocking the fridge, help us empty it while swapping stories with old friends or making new friends.

The Kickstart Team

Free admission

Registration closes 22 Feb 23:55
Beer + Food for FREE

RSVP: https://kickstart.doorkeeper.jp/events/57657

Let’s Use ML to Classify Ransomware; Just How Many Data Scientists are in PH?

Please read the entire event description. This event is free.

Please ensure that you keep your RSVP up to date. If you cannot make it, please make you spot available for others as soon as possible.

Data Science Philippines and DMAIPH are proud to present our February meetup!

We’ll start with a machine learning model built by the team at Trend Micro Philippines, then dive into a discussion led by Dan Meyer regarding the local data science talent pool.

Talk 1: Utilizing Machine Learning to Classify Ransomware Using In-the-Wild Information

The talk will describe a machine learning model for classifying ransomware according to their family using various in-the-wild malware information. This will cover a general  description of the dataset, features, and algorithm used to classify the malware.  Also, the speakers will share their experience on developing an effective classifier given a short amount of time.

Talk 1 – Speakers

Robert Tacbad is a Threat Response Engineer at Trend Micro Inc. He is currently working on clustering malware samples based on their behavior. He is a BS Applied Physics graduate from UP Diliman.

Joy Avelino is a Threat Response QA Engineer at Trend Micro Inc. She facilitates the review, testing, and release of patterns to detect malware. Joy finished her undergraduate studies at UP Diliman with a degree of Computer Science.

Talk 2: So Just How Many Data Scientists Are There In The Philippines Anyway?

It’s true that Data Scientist is one of the sexiest jobs of the 21 Century. But how many data scientists are there actually here in the country? And how many more are needed to meet the surging demand? Join a discussion on the current and future state of data science in the Philippines.

Talk 2 – Speaker

Daniel Meyer, Analytics Champion and CEO of DMAIPH.

Dan specializes in a variety of analytics themed training and speaking option including HR& Recruitment Analytics, Data Analytics, Data-Driven Decision-Making and Analytics for CEO’s. Prior to DMAIPH, Dan was a Senior Analytics Consultant at Wells Fargo.

RSVP essential. Arrive at 6:30pm for a 7pm start.

Register Here

Let’s Use ML to Classify Ransomware; Just How Many Data Scientists are in PH?

Wednesday, Feb 22, 2017, 6:30 PM

Warehouse Eight
2241 Chino Roces Ave Makati, PH

132 Data Scientists Attending

Please read the entire event description. This event is free.Please ensure that you keep your RSVP up to date. If you cannot make it, please make you spot available for others as soon as possible.Data Science Philippines and DMAIPH are proud to present our February meetup!We’ll start with a machine learning model built by the team at Trend Micro…

Check out this Meetup →

#36 Azure ML with R / {1 more topic open to volunteers}

c/o Alvine Aurelio and Camille Occeño from Accenture/Avanade

+ 1 more volunteer speaker on any volunteer topic!

Register Here

#36 Azure ML with R / Microsoft R Client / R Use Case for Media

Wednesday, Jan 18, 2017, 6:00 PM

8F Mindanao Room, Microsoft Office
6750 Ayala Ave. Makati City, PH

47 R users Attending

• Azure ML and R c/o Alvine Aurelio and Camille Occeño from Accenture/Avanade• Introducing Microsoft R Client c/o Microsoft Philippines Jug Mensenares• Use Case: Predicting Primetime TV Show Ad Cost c/o Prof. Rex Jalao

Check out this Meetup →

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