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👉 Machine Learning begins with reading and observing the training data to find useful insights and patterns in order to build a model that predicts the correct outcome. 👉 The performance of the model is then evaluated by using the testing data set. 👉 This process is carried out until, the machine automatically learns and maps the input to the correct output, without any human intervention.

What Is Machine Learning? 👉 Machine Learning is process of getting machines to automatically learn and improve from experience without being explicitly programmed. 👉 Let’s say that you’ve enrolled for skating classes and you have no prior experience of skating. Initially, you’d be pretty bad at it because you have no idea about how to skate. But as you observe and pick up more information, you get better. Observing is just another way of collecting data. 👉 Just like how we humans learn from our observations and experience, machines are also capable of learning on their own when they’re fed a good amount of data. This is exactly how Machine Learning works.

👉 For example, Netflix data mines movie viewing patterns of its users to understand what drives user interest and uses that to make decisions on which Netflix series to produce. 👉 Similarly, Target identifies each customer’s shopping behavior by drawing out patterns from their database, this helps them make better marketing decisions.

What Is Data Science? 👉 Do you guys remember when most of the data was stored in Excel sheets? They were simpler times because we generated lesser data and the data was structured.  👉 But times have changed. Over 2.5 quintillion bytes of data is created every single day, and this number is only going to grow.  👉 Not only that, the data generated these days is mostly unstructured or semi-structured and simple BI tools cannot do the work anymore.This is where Data science comes in. 👉 Data Science is all about uncovering findings from data, by exploring data at a granular level to mine and understand complex behaviors, trends, patterns and inferences. It’s about surfacing the needful insight that can enable companies to make smarter business decisions.

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👉 Nixie tubes operate through a process called gas discharge. This phenomenon occurs when electrically charged particles, typically electrons, move through a gas at a high velocity—roughly 2 percent of the speed of light. 👉 The speeding particles collide with the gas atoms or molecules, ionizing them and creating an energetic plasma of charged ions and electrons. 👉 The ions, excited to higher energy states, shed the excess energy as photons of light. 👉 The same basic process produces the glow of neon signs and the northern and southern lights. 👉 The color of the light depends on the gas: Neon ions emit a red-orange light; hydrogen emits bluish purple; nitrogen gives a spectacular purple; and krypton glows whitish blue.

Nixie tube 👉 These neon-filled glow lamps were ubiquitous in the late 1950s and 1960s, illuminating numbers, letters, and symbols in scientific and industrial instrumentation. 👉 Born in the basement of a German-American tinkerer in the 1930s and later commercialized by the business equipment maker Burroughs Corp., 👉 Nixies displayed data vital to NASA’s landing on the moon, lit up critical metrics for controlling nuclear power plants, and indicated the rise and fall of share prices on Wall Street stock exchanges, among thousands of uses.  👉 The Nixie tube may seem like an unnecessarily complicated invention for something as straightforward as displaying a number. But if you think about what was technologically possible in the middle of the 20th century, you soon realize it was the most logical and reliable option available.

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The correct answer is: show high resistance in both directions.

When checking a good SCR or TRIAC with an ohmmeter it will: A. show high resistance in both directions B. show low resistance with positive on anode and negative on cathode, and high resistance when reversed C. show high resistance with negative on anode and positive on cathode, and low resistance when reversed D. show low resistance in both directions

OLED screen on wearable watch 👉 OLED technology brings advantages of thinner and curved display form factor to wearable devices. 👉 Some of the wearable devices with OLED screens are Xiaomi Mi Band 2, MIO Slice, KIGO Watch, STARVR, Fitbit Alta, I Fit Vue, Mykronoz Zefit2 Pulse and Zefit2, Moto 360 Sport, Asus Zenwatch 2, HTC Vive, Sony PlayStation VR, Razer OSVR, Garmin Vivosmart, and Huawei Talk band B1 and Talk band B2.

Digital camera with OLED screen

An OLED TV set

Google Pixel 2 OLED display Mobile phones Many mobile phones have been introduced with OLED screen, including Samsung A8+, Gionee S11S and M7 plus, Oppo A79 and R11 plus, OnePlus 5T, Google Pixel 2 and iPhone X.