Top 10 Machine Learning Algorithms for Beginners |
Top 10 Machine Learning Algorithms for Beginners |
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Santosh Kumar on Instagram: "🔢Day 156– Data_Science_Journey(Deep Learning) 📊Topic : Deep Learning Introduction Today ,I started a new Chapter -> Deep Learning ,in this new journey a part of data science journey ,Explored Deep learning Introduction Deep Learning : ->The roots of machine learning can be traced back to the 1950s and 1960s. ->Perceptrons and Early Developments 1960s ->First AI Winter 1970s-1980s *Artificial Intelligence : Ability of machine to imitate human intelligence *Machine L
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Deeply AI: AI, ChatGPT, Robotics, Data Science on Instagram: "AI has just shattered the internet—and maybe reality itself. With Google’s Veo 3, ultra-realistic videos are now possible using nothing but text. No production team, no equipment, no expertise—just $250 and a handful of prompts. For creators, it’s revolutionary. For everyone else? A little unnerving. We’re stepping into an era where deepfakes, misinformation, and AI-driven narratives are more accessible and persuasive than ever. The b
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AI • Machine Learning • Tech on Instagram: "In 2021, Adam Dhalla, a passionate high school student from Vancouver, Canada, recorded an impressive five‑hour lecture series on mathematics for neural networks and deep learning. His video, titled “The Complete Mathematics of Neural Networks and Deep Learning” covered everything from matrix calculus to cost-function gradients with full backpropagation. He accompanied the video with organized timestamps, a long syllabus and good production quality, sh
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Data Science Everyday on Instagram: "What is CNN? 🧠📊 Convolutional Neural Networks (CNNs) are a class of deep learning algorithms specifically designed for image and video recognition tasks. They are highly effective in capturing spatial hierarchies and patterns in visual data. 📷 How Do CNNs Work? 1. Convolution Layer: The core building block where filters (kernels) slide over the input image to create feature maps. This helps in detecting edges, textures, and other visual features. 2. Poolin
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Data Science | ML | AI Community 👩‍🏫 on Instagram: "📍Day 68: 9 machine learning algorithms every data scientist should know👇 1. Linear Regression: Used for predicting a continuous value. It’s simple yet effective for various problems. 2. Logistic Regression: Despite its name, it’s used for classification tasks, particularly binary classification. And I also use class probabilities (class proba), which is the probability of the class label. 3. Decision Trees: Used for both classification and
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