Ml 1998-2024 Form

Lately I've been fascinated by projects that marry computer science with user interface design. Here are a couple random examples that come to mind.Quick note - there's a huge gap between research prototypes and consumer products, but I'll try to touch on both.Multitouch Interaction Everywhere (Chris Harrison)Using a shoulder-mounted projector and Kinect, Chris created a way to project and manipulate interfaces on arbitrary surfaces. His demo shows how this people might use this to interact with their "environment (e.g., walls, tables), held objects (e.g., notepads, books), and their own bodies (e.g., hands, lap)."Read more here - Chris Harrison | OmniTouchPreviously he also worked on Skinput which used a special armband to turn the human body itself into a sensing device. 3D Displays with Haptic Feedback (MSR)Using a robot arm and a 3D screen, Microsoft Research created this display that allows viewers to get haptic feedback as they interact with 3D objects. I was particularly impressed by their demos of ways to explore 3D visualizations, as well as "feeling" and manipulating 3D objects.Read more here - Touch to Feel the Virtual WorldGoogle Now (Machine Learning)On to consumer tech. Google has done an amazing job of making sense of my data, and presenting it to me in an actually useful way. Instead of asking me to make queries, they're anticipating information that's useful to me.Here's an instance when I was about to head out to dinner and a movie with Kevin. Keep in mind,1. I often walk by Kevin's house before dinner, and2. I had just been searching for movie recommendations on my laptop.Naturally, Google Now showed me the weather, some movie times, and the next bus I could catch to Kevin's place. Perfect.Fantastical (Natural Language)Instead of asking me to manually fill out form fields, calendaring apps like Fantastical have done an amazing job of interpreting natural language.While other tools have done this for years, what makes Fantastical unique is its real time parsing and feedback, confirming that everything you type is being interpreted correctly.TL;DRSome amazing people have been applying technologies from interesting fields like CV, ML, and NLP to create fundamentally better user interfaces.

The below Quora answer has been borrowed from CareerHigh.The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1,502 out of 2,224 passengers and crew members. This sensational tragedy shocked the international community and eventually, it led to better safety regulations for ships.The dataset is useful for those who have started learning data visualization and machine learning. We will be using Python as our working language.Importing the necessary librariesHere is a brief description of the libraries that we would be using:Numpy: it is used to perform numerical calculations in Python.Pandas: it is used to store data in an organized manner and to quickly manipulate it.Matplotlib: it is used to plot data in the form of graphs/charts for visualization.Seaborn: it is a Python data visualization library based on MatplotlibSklearn: This library contains a lot of efficient tools for machine learning and statistical modelling including classification, regression, clustering and dimensionality reduction.train_test_split: IT splits arrays or matrices into a random train and test subsetsLogisticRegression, KNeighborsClassifier, AdaBoost classifier: Machine Learning algorithms# linear algebra

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