Machine Learning for Beginners vs AI & ML Study Decks

Machine Learning For Beginners also known as AI & ML Tutor is the offline study app for professionals getting certified in artificial intelligence and machine learning and staying employable while the field moves. 41 certifications and 2,153 practice questions. The first 30 of every certification, 1,008 in all, are free. One in-app purchase unlocks the rest and all 18 interactive labs. WHAT'S INSIDE AWS (11 tracks) AWS Certified Machine Learning Specialty, AI Practitioner, Machine Learning Engineer Associate, Generative AI Developer Professional, Data Engineer Associate, Advanced Networking Specialty, plus focused sets on data engineering, exploratory data analysis, modeling, and implementation and operations. Google Cloud (3 tracks) Professional Machine Learning Engineer, Generative AI Leader, and GCP ML implementation and operations. Microsoft Azure (2 tracks) Azure AI Fundamentals and Azure AI Apps and Agents Developer. NVIDIA and Databricks (8 tracks) NCA-GENL, NCA-AIIO, NCA-GENM, NCP-GENL, NCP-AIOL, NCP-AII, NCP-AIN, and the Databricks Generative AI Engineer Associate. Claude, OpenAI and agents (5 tracks) Claude Certified Associate, Developer, Architect Foundations and Architect Professional, plus an OpenAI API & Agents skills bank. MLOps and foundations (12 tracks) MLOps and AIOps across all three clouds, plus machine learning, deep learning, neural networks, NLP, generative AI and explainable AI. INTERACTIVE LABS Most study apps show you a diagram. These let you move it. Sweep an input through ReLU, sigmoid and tanh and watch the dying-ReLU flat zone appear. Step a ball down a loss curve, then push the learning rate past 1.0 and watch it diverge. Drag a query point across a k-NN decision boundary and see the vote flip. Tap "it" in a sentence and watch self-attention land on "laptop". Shrink an autoencoder bottleneck until the reconstruction blurs. Turn retrieval off in a RAG pipeline and watch a confident, wrong answer appear. Eighteen labs in total. All of them run on your device with no connection. BUILT FOR HOW PEOPLE ACTUALLY STUDY - Five-minute sessions. Choose 5, 10 or 15 questions instead of grinding through a 152-question bank you'll never finish in one sitting. - Every option explained. Most apps tell you the right answer. This one explains all of them, so a wrong guess still teaches you something. - A review queue that adapts. Missed questions come back automatically and leave once you've got them right. - Progress you can see. Daily streak, best score per certification, questions answered, and how many are still waiting for review. - Works on a plane. Every question ships inside the app. MORE THAN A QUESTION BANK The Briefing tab keeps you current between study sessions: AI Daily News, the DjamgaMind podcast playable on your lock screen, and live job listings. The Practice tab carries 16 tutorials, 10 of them full step-by-step walkthroughs you read inside the app, covering Amazon Bedrock, Azure AI Foundry, Vertex AI, prompt engineering and RAG, and the coding agents professionals use daily. NATIVE, PRIVATE AND QUIET Siri Shortcuts let you say "Practice offline" to start a session. Daily study reminders are scheduled locally by iOS. Dark mode is supported throughout. Your quiz history, streak and review queue are stored on your device and never uploaded. There is no account to create, no analytics SDK and no advertising SDK in the app. Want the full question banks and all 18 labs? AI & ML Tutor PRO is our separate paid app. Questions, or a certification you'd like added? https://machinelearningcertification.web.app

Master Artificial Intelligence, Machine Learning, and Data Science through targeted, active-recall flashcard decks designed for fast retention. Whether you are preparing for a technical coding interview, studying for university exams, or advancing your data science career, AI and ML Study Decks breaks down complex algorithms and theoretical frameworks into clear, bite-sized study sessions. KEY FEATURES Curated AI and ML Decks: Cover foundational and advanced topics, including Supervised Learning, Agentic RAG, PyTorch, Scikit-Learn, Neural Networks, Natural Language Processing (NLP), and Python fundamentals. Active Recall and Spaced Learning: Reinforce key definitions, mathematical formulations, and model architectures faster than reading textbooks or watching videos. Smart Progress Tracking: Keep track of your study streaks, mastery percentages, and revision history. Seamless Offline Access: Review flashcards anytime, anywhere - perfect for building quick daily study habits. TOPICS COVERED Machine Learning Algorithms: Regression, Classification, Clustering, and Ensembles Deep Learning and Neural Networks: CNNs, RNNs, and Transformers Data Science Prerequisites: Statistics, Pandas, and NumPy Python Libraries and Model Optimization