![]() However, the field of machine learning is very diverse and many different algorithms, theories, and methods are available. data mining (DM), artificial intelligence (AI), knowledge discovery (KD) from databases, etc.). One of the most exciting developments is in the area of machine learning (incl. statistical learning) and availability of easy-to-use, often freely available (software) tools offer great potential to transform the manufacturing domain and their grasp on the increased manufacturing data repositories sustainably. New developments in certain domains like mathematics and computer science (e.g. for quality improvement initiatives, manufacturing cost estimation and/or process optimization, better understanding of the customer’s requirements, etc., support is needed to handle the high dimensionality, complexity, and dynamics involved (Davis et al., 2015 Loyer, Henriques, Fontul, & Wiseall, 2016 Wuest, 2015). Overall, it can be safely concluded, the manufacturing industry has to accept that in order to benefit from the increased data availability, e.g. distract from the main issues/causalities or lead to delayed or wrong conclusions about appropriate actions (Lang, 2007). However, it has been recognized that much information can also propose a challenge and may have a negative impact as it can, e.g. quality-related data offers potential to improve process and product quality sustainably (Elangovan, Sakthivel, Saravanamurugan, Nair, & Sugumaran, 2015). This increase and availability of large amounts of data is often referred to as Big Data (Lee, Lapira, Bagheri, & Kao, 2013). Industrie 4.0 (Germany), Smart Manufacturing (USA), and Smart Factory (South Korea). Different names are used for this phenomenon, e.g. sensor data from the production line, environmental data, machine tool parameters, etc. These data compromise a variety of different formats, semantics, quality, e.g. extra fee can apply for last minute or holidaysĪlso check out other Kids Events & Activities in Brooklyn, Workshops in Brooklyn.The manufacturing industry today is experiencing a never seen increase in available data (Chand & Davis, 2010). IG: Virginiachocolat or aW5mb3N2aXJnaW5pYWNob2NvbGF0IHwgZ21haWwgISBjb20=Įvent will be canceled if guests arrive 15 min late. Special events for kids or group upon request. WHO: couples, friends, families, corporate event. 2mn from the Williamsburg Hotel, the Withe Hotel, the William Vale Hotel and The Hoxton Hotel. WHERE: very close to th L train Bedford station. If Eventbrite Sales are closed, reach me out on my IG. You also will get special discount on the gift boutique on your way out. You ll get to learn all the chocolate maker tricks and tips and obtain 25 bonbons just for yourself to bring home. This is a 3hours class for 2 pers, this recipe necesits a lot of steps and focus and cool down breaks. Virginia will be there with you every step of the way, entertaining you with fun facts and answers to all questions. create your design with different colors and techniques You will make then your own chocolate bonbon , Virginia will then guide you through the “ Making ”Demo, teaching you everything from scratch, as well showing you how to be creative with a traditional recipe. ![]() Then you will be whisked away through a brief history of chocolate which spans centuries, while also learning about some of the processes involved with chocolate making. You ll be given the opportunity to admire the factory/store. Once warmed up and while getting to know each others. Virginia, our French chocolate expert will welcome you with an authentic hot or iced chocolate with a twist. Let’s learn while sipping your favorite beverage. This blissful event takes place in a real chocolate Factory in Brooklyn.
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