Machine Learning News Issue 3

Welcome to the Momenta Learning News on Machine Learning. This is issue 3, please feel free to share this post.

13 frameworks for mastering machine learning

Venturing into machine learning? These tools do the heavy lifting for you

Google taps chipmaker Movidius to add machine learning to phones | ExtremeTech

A big reason the electronic devices around us are getting smarter, and hopefully more useful, is machine learning. By building complex models of data, then training those models, tasks as diverse as facial recognition, language translation, and autonomous driving can be accomplished.

Biologial Evolution & Machine Learning Are Similar, Says Turing Award Winner Leslie Valiant

Can machine learning algorithms capture the complexity of the life that has evolved on Earth? Professor Leslie Valiant shares his views at the Global Young Scientists Summit 2016. Rebecca Tan | January 29, 2016 | Editorials AsianScientist (Jan.

Machine-learning, social media data help spot flooded urban areas

Twitter and Flickr, along with remote sensor data, can be used to identify flooded areas, a team of university researchers say. It's faster than using publicly available satellite images on their own. That imaging can sometimes take days to become available, the researchers say. It's also easier to identify the flooded streets.

Searching for the Algorithms Underlying Life | Quanta Magazine

To the computer scientist Leslie Valiant, "machine learning" is redundant. In his opinion, a toddler fumbling with a rubber ball and a deep-learning network classifying cat photos are both learning; calling the latter system a "machine" is a distinction without a difference.

Recognizing correct code

MIT researchers have developed a machine-learning system that can comb through repairs to open-source computer programs and learn their general properties, in order to produce new repairs for a different set of programs. The researchers tested their system on a set of programming errors, culled from real open-source applications, that had been compiled to evaluate automatic bug-repair systems. Where those earlier systems were able to repair one or two of the bugs, the MIT system repaired between 15 and 18, depending on whether it settled on the first solution it found or was allowed to run longer.

Deep Learning in 2016: Tech Giants Move to Share Data

Deep Learning is one of the key parts of data science. As data becomes increasingly important and accessible, today's biggest companies are rapidly investing in deep learning. In fact, it is considered to be so vital to future technologies that many are sharing their own results and discoveries with the

Pentaho adds native Python integration

The integration brings the most popular coding language to Pentaho's data integration environment, allowing it to better support machine learning and analytical environments.

Deep Instinct: A New Way to Prevent Malware, With Deep Learning

Malware has proven increasingly difficult to detect via signature or heuristic-based methods, which means most Antivirus (AV) programs are woefully ineffective against mutating malware, and especially ineffective against APT attacks (Advanced Persistent Threats). Typical malware consists of about 10,000 lines of code. Changing only 1% of the code renders most AV ineffective.

Machine learning offers hope in fight against antibiotic resistance | ExtremeTech

A team from the University of Pennsylvania's Perelman School of Medicine has discovered a way to develop antibiotic chemicals by making use of powerful new techniques in machine learning.