#60daysofmachinelearning search results
Day 52 of #60daysOfMachineLearning 🔷 Deep Learning 🔷 Deep learning is a type of machine learning algorithm that uses deep neural networks to learn complex patterns and relationships in data.
Day 53 of #60daysOfMachineLearning 🔷 Neural Networks 🔷 A neural network is a computational model that is inspired by the structure and function of the brain. 🧵 👇
Day 47 of #60daysOfMachineLearning 🔷 K-Means Clustering 🔷 K-means clustering is a popular and simple unsupervised learning algorithm for clustering data into groups.
Day 55 of #60daysOfMachineLearning 🔷 Convolutional Neural Networks 🔷 Convolutional Neural Networks (CNNs) are a type of artificial neural network that is specifically designed to process data with a grid-like topology, such as images.
Day 59 of #60daysOfMachineLearning 🔷 Percision, Recall, F1 🔷 Precision is a measure of the accuracy of the model's positive predictions. It is calculated as the number of true positive predictions divided by the total number of positive predictions made by the model.
Day 51 of #60daysOfMachineLearning 🔷 Ensemble Learning 🔷 Ensemble learning is a machine learning technique that combines multiple models to improve the performance and robustness of the final model.
Day 58 of #60daysOfMachineLearning 🔷 Accuracy, Overfitting, Underfitting 🔷 In machine learning, accuracy is a measure of how well the model is able to make predictions on new examples. It is usually measured as the percentage of correct predictions made by the model.
Day 57 of #60daysOfMachineLearning 🔷 Training, validation, test data 🔷 In machine learning, it is important to divide your data into three sets: training, validation, and test. 🧵 👇
Day 56 of #60daysOfMachineLearning 🔷 Long Short-Term Memory Neural Networks 🔷 Long Short-Term Memory (LSTM) networks are a type of artificial neural network that is specifically designed to process sequential data, such as time series or natural language.
Day 44 of #60daysOfMachineLearning 🔷 Decision Trees 🔷 Decision trees are a type of supervised learning algorithm that can be used for classification and regression tasks. 🧵 Let’s take a closer look ⬇️
Day 50 of #60daysOfMachineLearning 🔷 Q-Learning 🔷 Q-learning is a popular and effective reinforcement learning algorithm for solving Markov Decision Processes (MDPs).
Day 54 of #60daysOfMachineLearning 🔷 Feed Forward Neural Networks 🔷 A feedforward neural network is a type of neural network that consists of multiple layers of interconnected neurons that process and transform the input data.
Day 60 of #60daysOfMachineLearning 🔷 Model Serving 🔷 Model serving refers to the process of deploying a trained machine learning model in a production environment and using it to make predictions on new data.
Day 43 of #60daysOfMachineLearning 🔷 Linear Regression 🔷 Linear regression is a widely used statistical method for modeling the relationship between a dependent variable and one or more independent variables.
Day 48 of #60daysOfMachineLearning 🔷 Apriori Algorithm 🔷 The Apriori algorithm is a popular and effective algorithm for mining frequent item sets and association rules in transactional data.
Day 45 of #60daysOfMachineLearning 🔷 K-Nearest Neighbor 🔷 KNN is a popular and simple machine learning algorithm for classification and regression tasks.
Day 15 of my #DeepLearning journey 🧠 Got into CNNs today! Learned how convolutional operations work and how they’re inspired by the visual cortex. Starting to see why CNNs are so powerful for images 👀 #60DaysOfMachineLearning #AI #100DaysOfCode #pythonhub #python
Day 12:✅ #Sm1lj4n #60DaysOfMachineLearning #Python #PythonDev #AI #ArtificialIntelligence #MachineLearning #ML
Day 12 of #60daysOfMachineLearning 🔵 Python Classes and Objects 🧵 Here is how to work with classes and objects 👇
Hello @DanKornas , thank you for sharing your insights with #60daysOfMachineLearning . I am sharing my programming interview prep journey on my account, starting with pandas and SQL questions. Any word of advice for me 🙂 ?
Great progress, Dan! Deep learning’s ability to uncover complex patterns is what makes it so powerful in fields like image recognition and natural language processing. Excited to see where you go in the final stretch of #60DaysOfMachineLearning! 💪
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