Comparison

7th Grade Math vs Master AI & Machine Learning

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

7th Grade Math

Features
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"The French mathematician Jacques S. Hadamard found, in a study of 100 leading mathematicians [including Einstein], that the majority of them were primarily visual in their approach." Scientific American, Sept., 1984, p. 56. In seventh grade math the emphasis is on: (1) ratios & proportions, (2) rational and signed numbers, (3) linear equations, (4) scale drawings, area, surface area and volume, and (6) statistical thinking. Math Galaxy’s Seventh Grade Math covers all of the Common Core math standards for seventh grade as listed below. The concepts are presented in bite-size pieces with an unlimited supply of practice problems, with numbers chosen randomly. Illustrations are used throughout to reinforce the concepts. You are guided through problems step-by-step or can just give final answers. Scores can be emailed to be printed. Doing problems earns you robots for the Labyrinth, a maze search game. Incorporates Schoolwork for classroom management. RATIOS and PROPORTIONAL RELATIONSHIPS (7.RP) Analyze proportional relationships and use them to solve real-world and mathematical problems. Ratios & Proportions Understanding Ratios (7.RP.1, 2b) Determining if Proportional (7.RP.2a, 2c) Ratios on Graphs (7.RP.2b, 2d) Rates (7.RP.2b, 2d) Proportions (7.RP.2c) Review Converting Units (7.RP.2c) Converting Units (7.RP.2c) Percents (7.RP.3) An Explanation of Percents Percents & Decimals Fractions, Decimals, Percents Review Percent Word Problems Finding %, Part, Whole Percent Word Problems RATIONAL NUMBERS (7.NS) Apply and extend previous understandings of operations with fractions to add, subtract, multiply, and divide rational numbers. Operations with Signed Numbers (7.NS.1) Add & Subtract Rational Numbers (7.NS.1c) Negative # Word Problems (7.NS.3) Converting Fractions to Decimals (7.NS.2d) Add & Subtract Fractions (7.NS.1) Multiply & Divide Fractions (7.NS.2) Fraction Word Problems (7.NS.3) EXPRESSIONS and EQUATIONS (7.EE) Use properties of operations to generate equivalent expressions. Solve real-life and mathematical problems using numerical and algebraic expressions and equations. Simplifying Algebraic Expressions (7.EE.1) Translating to Algebra (7.EE.2) Linear Expressions (7.EE.2) 2-Step Equations (7.EE.3, 4a) Equations with Fractions or Decimals (7.EE.3, 4a) Equations with Distributive Property (7.EE.3, 4a) 2-Step Inequalities (7.EE.4b) Linear Equation Word Problems (7.EE.3, 4a) Inequality Word Problems (7.EE.4b) GEOMETRY (7.G) Draw, construct, and describe geometric figures and describe the relationships between them. Solve real-life and mathematical problems involving angle measure, area, surface area, and volume. Scale Drawings (7.G.1) Constructing Figures (7.G.2) Slicing 3D Figures (7.G.3) Area Review (7.G.4) Area & Perimeter (7.G.6) Complex Areas (7.G.6) Surface Area with Nets (7.G.6) Volume Review (7.G.6) Volume (7.G.6) Lines, Angles & Polygons (7.G.5) STATISTICS and PROBABILITY (7.SP) Use random sampling to draw inferences about a population. Draw informal comparative inferences about two populations. Investigate chance processes and develop, use, and evaluate probability models. Sampling Populations (7.SP.1) Population Inferences (7.SP.2) Box-and-Whisker Plots (7.SP.2) Comparing Populations (7.SP.3, 4) Probability (7.SP.6, 7) Compound Events (7.SP.8)

About

Master AI & Machine Learning

Explore the foundational concepts of Artificial Intelligence, including machine learning, deep learning, and neural networks. This guide offers an introduction to AI research areas and their practical implementation, particularly with Python.

Highlights
  • Introduction to Artificial Intelligence
  • Covers Machine Learning and Deep Learning
  • Explains Artificial Neural Networks
  • Includes Python implementation details
  • Details Natural Language Processing
  • Discusses Genetic Algorithms
Features
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Master Artificial Intelligence and Machine Learning with the most comprehensive mobile learning platform. Whether you are a beginner exploring AI for the first time or a professional advancing your skills, this app provides everything you need to understand and apply artificial intelligence concepts. WHY LEARN ARTIFICIAL INTELLIGENCE Artificial Intelligence is transforming every industry from healthcare to finance, transportation to entertainment. AI skills are among the most in-demand in the job market, with AI engineers and data scientists commanding top salaries. Understanding AI is no longer optional for tech professionals - it is essential for staying relevant in the modern workforce. WHAT YOU WILL LEARN Our comprehensive curriculum covers the complete AI landscape, from foundational concepts to cutting-edge techniques: AI Fundamentals Understand what artificial intelligence is, its history, and core principles. Learn about different types of AI, from narrow AI to artificial general intelligence. Explore the philosophical and ethical implications of AI technology. Machine Learning Basics Master the fundamentals of machine learning including supervised learning, unsupervised learning, and reinforcement learning. Understand how machines learn from data and improve their performance over time. Neural Networks and Deep Learning Dive deep into neural network architectures, activation functions, and backpropagation. Learn about convolutional neural networks for image processing and recurrent neural networks for sequential data. Natural Language Processing Explore how AI understands and generates human language. Learn about tokenization, word embeddings, transformers, and large language models like GPT and BERT. Computer Vision Understand how AI sees and interprets visual information. Learn about image classification, object detection, facial recognition, and image generation techniques. AI Algorithms and Techniques Master essential AI algorithms including decision trees, random forests, support vector machines, k-means clustering, and gradient descent optimization. Data Science and Analytics Learn how to prepare, clean, and analyze data for AI applications. Understand feature engineering, data visualization, and statistical analysis techniques. AI Ethics and Responsible AI Explore the ethical considerations of AI including bias, fairness, transparency, privacy, and the societal impact of artificial intelligence systems. AI Applications and Use Cases Discover real-world applications of AI across industries including healthcare diagnostics, autonomous vehicles, recommendation systems, fraud detection, and predictive analytics. Future of AI Stay informed about emerging trends including quantum machine learning, edge AI, explainable AI, and the path toward artificial general intelligence. KEY FEATURES Comprehensive Content Library Over 150 lessons covering every aspect of artificial intelligence and machine learning. Each topic includes detailed explanations, diagrams, and practical examples. Clear Explanations Complex AI concepts broken down into easy-to-understand language. No prior AI knowledge required - we start from the basics and build up progressively. Real-World Examples Every concept illustrated with practical applications and use cases. Understand not just the theory but how AI is applied in industry. Structured Learning Path Follow our carefully designed curriculum that builds knowledge systematically. Each lesson prepares you for more advanced topics. Offline Learning Access all content without internet connection. Learn AI anywhere, anytime - on your commute, during breaks, or while traveling. Progress Tracking Monitor your learning journey with built-in progress indicators. See which topics you have mastered and what comes next. Bookmarks and Quick Reference Save important concepts for quick access. Build your personal AI knowledge library for future reference.

Screenshots

7th Grade Math4 screens
Master AI & Machine Learning4 screens

Verdict

The call

The clearest difference is price: Master AI & Machine Learning at $2.99 against 7th Grade Math's $12.99. 7th Grade Math's advantage is update cadence (every 8 months vs every 30 months). On ads, in-app purchases, device support and iOS requirement there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

7th Grade Math costs $12.99 and Master AI & Machine Learning $2.99 up front. Neither carries in-app purchases, so what you see is what you pay.

UpkeepUpdate frequency

7th Grade Math ships an update every 8 months, Master AI & Machine Learning every 30 months. The most recent releases landed on September 29, 2026 and October 9, 2026 respectively.

Scorecard2 real differences · 7 level
7th Grade Math versus Master AI & Machine Learning: the parameters behind the verdict, then further details
Parameter7th Grade MathMaster AI & Machine Learning
Price$12.99$2.99 — better
Rating—3.0 (2 ratings) — better
Number of ratings—2 — better
Update frequencyEvery 8 months — betterEvery 30 months
AdsNoNo
In-app purchasesNoNo
Monetization—Paid
DevicesiPhone, iPad, iPodiPhone, iPad, iPod
Requires iOS12.0 — better13.0
Further details — not scored
Size446 MB43 MB
Age rating4+17+
DeveloperMath GalaxyMuhammad Mubeen

In-app purchases

None

7th Grade Math

No in-app purchases

None

Master AI & Machine Learning

No in-app purchases

Questions

Is 7th Grade Math free?
7th Grade Math costs $12.99, with no in-app purchases.
Is Master AI & Machine Learning free?
Master AI & Machine Learning costs $2.99, with no in-app purchases.
Do 7th Grade Math or Master AI & Machine Learning have ads?
Neither 7th Grade Math nor Master AI & Machine Learning shows ads.
Which is updated more often, 7th Grade Math or Master AI & Machine Learning?
7th Grade Math ships an update every 8 months, and Master AI & Machine Learning every 30 months. Most recently, 7th Grade Math was updated on September 29, 2026 and Master AI & Machine Learning on October 9, 2026.

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