Category: Machine Learning

7 Applications of Machine Learning in Healthcare Industry

The Healthcare industry is an essential industry that offers care to millions of citizens, while at the same time, contributing to the local economy. Artificial Intelligence is benefiting the healthcare industry in numerous ways. Information technology is revolutionizing the healthcare industry by providing a helping hand. As we know, AI is the development of computing […]

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Face and Hand Landmarks Detection using Python – Mediapipe, OpenCV

capture = cv2.VideoCapture(0)  previousTime = 0currentTime = 0  while capture.isOpened():        ret, frame = capture.read()          frame = cv2.resize(frame, (800, 600))          image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)                  image.flags.writeable = False    results = holistic_model.process(image)    image.flags.writeable = True          image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)          mp_drawing.draw_landmarks(      image,      results.face_landmarks,      mp_holistic.FACE_CONNECTIONS,      mp_drawing.DrawingSpec(        color=(255,0,255),        thickness=1,        circle_radius=1      ),      mp_drawing.DrawingSpec(        color=(0,255,255),        thickness=1,        circle_radius=1      )    )          mp_drawing.draw_landmarks(      image,       results.right_hand_landmarks,       mp_holistic.HAND_CONNECTIONS    )          mp_drawing.draw_landmarks(      image,       results.left_hand_landmarks,       mp_holistic.HAND_CONNECTIONS    )              currentTime = time.time()    fps = 1 / (currentTime-previousTime)    previousTime = currentTime              cv2.putText(image, str(int(fps))+” FPS”, (10, 70), cv2.FONT_HERSHEY_COMPLEX, 1, (0,255,0), 2)          cv2.imshow(“Facial and Hand Landmarks”, image)          if cv2.waitKey(5) & 0xFF == ord(‘q’):        break  capture.release()cv2.destroyAllWindows()

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Role of KL-divergence in Variational Autoencoders

Variational AutoencodersVariational autoencoder was proposed in 2013 by Knigma and Welling at Google and Qualcomm. A variational autoencoder (VAE) provides a probabilistic manner for describing an observation in latent space. Thus, rather than building an encoder that outputs a single value to describe each latent state attribute, we’ll formulate our encoder to describe a probability […]

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7 Best Tools to Manage Machine Learning Projects

Managing the Machine Learning Projects isn’t an easy piece of cake for every ML enthusiast or a student/developer working on them. Even Gartner has concluded in one of its researches that 85 percent of the ML projects have failed in the current year. And, this trend may continue in the future also if your personal […]

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How to Become an RPA Developer?

With robotics technology moving rapidly ahead of itself, it has become very important for developers to meet software needs. The hardware mechanics have become very advanced over time and are being upgraded at a regular interval. But these hardware systems cannot run on themselves. They require software to control them and process the operation they […]

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Top 10 Machine Learning Startups in 2021

A startup is a company that aims to join the customers of today to a vision of the future. And what technology is more associated with the future than Machine Learning? That’s one of the primary reasons that the startup culture is increasing over the years with more and more innovation in Machine Learning. According […]

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Build a Strong Machine Learning Foundation in Just 6 Weeks!

In the last few years, Machine Learning has emerged as the most demanding and impactful technology in the tech world. Whether we talk about Finance, Healthcare, Automobile, or any other sector – they all are incorporating Machine Learning into their respective platform or products. And with such rising popularity of this particular technology, the demand […]

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