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- Machine Learning 01 : Interactive Colourisation with ideepcolor @workshops:public:machine_learning:ideepcolor
- ed to solve ML problems, resulting in specialised programming platforms, Application Programming Interfaces (APIs) and programming libraries for AI and ML. ====Common Machine Learning Uses==== One way to
- 101 - Arduino #complete
- essing IDE, with a simplified version of the Java programming language * Open source has led to the creation ... e goes where and why we need to know this for the programming) {{workshops:prototypes:2022-23delivery-lasercut
- Pikelet: a robot that talks scratch @workshops:public:pikelet
- nect directly to the Pikelet, and thus allows for programming on the fly by users. The default visual environme... cutcovers:pikelet:23343953-shall-we-learn-scratch-programming-ebook.pdf |}} <WRAP pagebreak></WRAP> ======Inst
- Machine Learning 03 - Entering the Uncanny Valley of Speech @workshops:public:machine_learning:uncanny_valley
- sharing ====Python==== Python is an open source programming language that was made to be easy-to-read and powerful((https://simple.wikipedia.org/wiki/Python_(programming_language))). Python is: * a high-level la
- Machine Learning 02 : From Paper to Product @workshops:public:machine_learning
- code. in this case its a simple program in the C programming language that shows on the screen "Hello, World"
- Lock Making and Picking @workshops:public:lock-delivery-woodford
- om the admin menu at the top right. {{:the_edge_programming_wiki_theedge_-_2016-04-04_16.04.52.png?nolink&100