Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

I am a self taught coder for the past 6 months. When I apply for jobs, I keep getting rejected as I was told i have no portfolio to show and i dont have a software engineering background so why hire me when they can hire an experienced software engineer and train him on machine learning skills. I am getting depressed over this situation over the past few weeks and considering looking for jobs in my previous non-tech related job field. So kindly, please provide me with an interesting project that can allow me to showcase my skills. I am also willing to do free projects for anyone out there as long im guided on the best practices.

Machine Learning is the field that studies how to make computers learn. In other words, a Machine Learning algorithm is a computer program that teaches computers how to program themselves so that we don't have to explicitly describe how to perform the task we want to achieve. When people talk about machine learning, they say the mathematically inspired computing, analytic methods, and great programming practices makes a good combination for machine learning. Google's CEO Sundar Pichai laid out the corporate mindset: "Machine learning is a core, transformative way by which we're rethinking how we're doing everything. We are thoughtfully applying it across all our products, be it search, ads, YouTube, or Play. And we're in early days, but you will see us -- in a systematic way -- apply machine learning in all these areas."

IBM's famous AI system has accomplished many, many things these past years, from making movie trailers to saving a person's life. Now, it's also helping teachers make lesson plans by powering Teacher Advisor, a program IBM developed with the American Federation of Teachers. If you're thinking "How hard could a grade school lesson plan be?" Well, have you seen Common Core mathematics? It's not the same math from back in the day, and teachers who didn't grow up with it might have a tough time conjuring up a way to make it more understandable.

Here's how the SPHERE drone did it despite all those difficulties: first, it zoomed around the station's Japanese module using its 12 gas thrusters, recording everything in sight with two cameras. Before all these, though, the team tested their learning software on a quadcopter in sets they built at the Delft University of Technology. "It was very exciting to see a drone in space learning using cutting-edge artificial intelligence methods for the very first time. In space applications, machine learning is not considered a reliable approach to autonomy: a'bad' learning approach may result in a catastrophic failure of the entire mission."

A coroner says a 6-year-old boy has died days after he was critically wounded in a school shooting in South Carolina. Anderson County Coroner Greg Shore said Jacob Hall died about 1 p.m. Saturday. Jacob had been fighting for his life at a hospital since the shooting Wednesday at Townville Elementary School. A bullet struck Hall in a main artery in his leg, causing massive bleeding. Authorities say another student and a first-grade teacher were also shot when a 14-year-old boy opened fire on a playground.

Claire Bretton is one of the co-founders of daco.io, a startup that is developing a unique tool to track competition thanks to deep learning. Earlier, she was a manager in a top strategy consulting firm based in Paris. She holds a master's degree from ESCP Europe. One of the biggest challenges of the 21st century is to make computers more similar to the human brain. We want them to speak, understand and solve problems -- and now we want them to see and recognize images.

We haven't designed fully sentient artificial intelligence just yet, but we're steadily teaching computers how to see, read, and understand our world. Last month, Google engineers showed off their "Deep Dream," software capable of taking an image and ascertaining what was in it by turning it into a nightmare fusion of flesh and tentacles. The release follows research by scientists from Stanford University, who developed a similar program called NeuralTalk, capable of analyzing images and describing them with eerily accurate sentences. First published last year, the program and the accompanying study is the work of Fei-Fei Li, director of the Stanford Artificial Intelligence Laboratory, and Andrej Karpathy, a graduate student. Their software is capable of looking at pictures of complex scenes and identifying exactly what's happening.

This is the 3rd part in my Data Science and Machine Learning series on Deep Learning in Python. At this point, you already know a lot about neural networks and deep learning, including not just the basics like backpropagation, but how to improve it using modern techniques like momentum and adaptive learning rates. You've already written deep neural networks in Theano and TensorFlow, and you know how to run code using the GPU. This course is all about how to use deep learning for computer vision using convolutional neural networks. These are the state of the art when it comes to image classification and they beat vanilla deep networks at tasks like MNIST.

This team has decades of practical experience in working with Java and with billions of rows of data. If you are an analyst or a data scientist, you're used to having multiple systems for working with data. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code. Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease.