Learn PyTorch Tutorials vs Art of Stat

# Learn PyTorch Programming Explore PyTorch, machine learning, and deep learning through structured lessons, practical coding examples, and interactive quizzes. Learn PyTorch Programming provides an organized learning experience for anyone interested in understanding PyTorch fundamentals, neural networks, tensors, and modern deep learning concepts. Whether you are beginning your learning journey or reviewing important PyTorch topics, the app helps you explore concepts step by step, practice programming, and monitor your learning progress. ## EXPLORE PYTORCH STEP BY STEP Follow a structured learning path featuring: • 16 Chapters • 135 Lessons • 270 Quizzes Browse chapters, read individual lessons, and test your understanding through quiz questions. The organized chapter structure makes it easier to explore different areas of PyTorch programming and deep learning. ## LEARN IMPORTANT PYTORCH CONCEPTS Explore lessons covering topics such as: • Overview of Deep Learning and Machine Learning • Introduction to PyTorch and Its Ecosystem • Installing and Setting Up PyTorch (CPU & GPU) • Understanding Tensors in PyTorch • Tensor Operations and Manipulation • GPU Acceleration with CUDA and cuDNN • Differences Between PyTorch and TensorFlow • PyTorch Basics and Autograd System • Neural Network Fundamentals • The torch.nn Module • Working with Datasets These topics introduce important concepts used when studying PyTorch and deep learning. ## PRACTICE WITH A CODE EDITOR Turn your ideas into code with the built-in programming workspace. Explore code examples, write and run code, and develop your programming skills through practice. The code editor interface includes: • Multiple programming language options • Quick coding examples • A file workspace • Code editing • Run controls • An output section Explore examples including Hello World, Fibonacci Series, Factorial Number, Calculator App, and List Operations. ## TEST YOUR KNOWLEDGE Review what you have learned with quizzes connected to the learning content. Quiz questions provide opportunities to revisit concepts and reinforce your understanding as you move through lessons. ## TRACK YOUR LEARNING PROGRESS Stay organized with learning progress features that help you follow your educational journey. • View completed lessons • Monitor overall completion percentage • Review chapter progress • Follow your daily learning streak • See your learning statistics Return to lessons and continue learning at your own pace. ## FIND LESSONS AND TOPICS Use the search feature to explore learning content. • Search for lessons and topics • Browse categories • Discover popular topics • View search results • Access recent searches Find relevant material without manually browsing every chapter. ## SAVE NOTES WHILE LEARNING Use the Take Notes feature to record important points as you study. Revisit your saved notes and bookmarked lessons whenever you want to review previously explored content. ## CREATE A DAILY LEARNING HABIT Build a consistent study routine with learning schedule features. • Choose your preferred study time • Select a daily study duration • Choose repeat days • Enable study reminders • Save your learning schedule Set a routine that works with your availability and learning goals. ## PERSONALIZE YOUR EXPERIENCE Adjust the app to suit your learning preferences. Available settings include dark mode, app language, text size, notifications, and learning schedule preferences. ## EXPLORE COMMUNITY HELP Browse programming questions, explore community answers, and search for shared solutions. Use the Community Help section to discover discussions related to programming topics. ## START LEARNING PYTORCH Explore PyTorch programming, study deep learning fundamentals, practice coding concepts, complete quizzes, and track your progress through an organized learning experience. Learn, practice, understand, and turn knowledge into skills.

The Art of Stat app covers all your statistics needs—from core concepts and probability distributions to data exploration, inference, modeling, and prediction. Use pre‑implemented datasets, import your own CSV/Excel files or - for small datasets - provide them directly. Created by an expert college professor with many years of experience teaching Statistics & Data Science. Better than AI: a guided, step‑by‑step learning experience—from summary statistics and visualizations to understanding statistical methods and outputs, including stunning visualizations. (YouTube channel coming soon!) Try it free: 7‑day trial with no credit card or subscription required. The app includes seven modules: - EXPLORE DATA Summary statistics, contingency tables, correlations, and rich visualizations: bar/pie charts, histograms, boxplots (including side‑by‑side), dotplots, and interactive scatterplots with color‑by‑variable. - DISTRIBUTIONS Interactively explore probabilities and percentiles for key distributions (Normal, Student‑t, Binomial, and more). Includes simulation tools. - CONCEPTS Central Limit Theorem (means/proportions), correlation and regression, confidence‑interval coverage, and Type I/II errors with power visualization. - INFERENCE Confidence intervals and hypothesis tests for proportions and means (one/two samples, independent/dependent), Chi‑square tests, and ANOVA. - REGRESSION Simple, multiple, and logistic regression; inference for parameters (SEs, CIs, p‑values); predictions; and striking interaction visualizations. - MACHINE LEARNING Supervised and unsupervised methods with train/test split, visualizations, predictions, heatmaps, and accuracy metrics including confusion matrices. - RESAMPLING Bootstrap CIs and permutation tests for means, medians, proportions, correlation, slope, and Chi‑square independence. Includes a Data Editor if you want to to create your own, smaller datasets. Works offline — perfect for exams or low‑connectivity environments. The standard Apple Terms of Use (EULA) apply for any subscription offered in the app. Access the link below to obtain the EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/