Practical Deep Learning
If you've been curious about machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.
All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance.
You'll also learn:
- How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector Machines;
- How neural networks work and how they're trained;
- How to use convolutional neural network ...
Racket Programming the Fun Way
At last, a lively guided tour through all the features, functions, and applications of the Racket programming language. You'll learn a variety of coding paradigms, including iterative, object oriented, and logic programming; create interactive graphics, draw diagrams, and solve puzzles as you explore Racket through fun computer science topics - from statistical analysis to search algorithms, the Turing machine, and more.
Early chapters cover basic Racket concepts like data types, syntax, variables, strings, and formatted output. You'll learn how to perform math in Racket's rich numerical environment, and use programming constructs in different problem domains (like coding solutions to the Tower of Hanoi puzzle). Later, you'll play with plotting, grapple with graphics, and visualize data. Then, you'll escape the confines of the command line to produce animations, interactive games, and a card trick program that'll dazzle your friends.
You'll learn how tot:
- Use DrRacket, an inte ...
Beyond the Basic Stuff with Python
You've completed a basic Python programming tutorial or finished Al Sweigart's best selling Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer?
Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you'll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program - not just in Python but in any language.
- Coding style, and how to use Python's Black aut ...
How Computers Really Work
How Computers Really Work is a hands-on guide to the computing ecosystem: everything from circuits to memory and clock signals, machine code, programming languages, operating systems, and the internet.
But you won't just read about these concepts, you'll test your knowledge with exercises, and practice what you learn with 41 optional hands-on projects. Build digital circuits, craft a guessing game, convert decimal numbers to binary, examine virtual memory usage, run your own web server, and more.
Explore concepts like how to:
- Think like a software engineer as you use data to describe a real world concept;
- Use Ohm's and Kirchhoff's laws to analyze an electrical circuit;
- Think like a computer as you practice binary addition and execute a program in your mind, step-by-step.
The book's projects will have you translate your learning into action, as you:
- Learn how to use a multimeter to measure resistance, current, and voltage;
- Build a half adder to see how logical op ...
Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems.
Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like:
- The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book;
- Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations;
- The union-find data structure to answer questions about c ...
Dive Into Algorithms
Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence. You'll even explore how ancient Egyptians and Russian peasants used algorithms to multiply numbers, how the ancient Greeks used them to find greatest common divisors, and how Japanese scholars in the age of samurai designed algorithms capable of generating magic squares.
You'll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. You'll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and anot ...
The Coding Workbook
This beginner-friendly introduction to web development enables anyone to build a website by writing out code by hand - no computer or internet required. It's a fun, hands-on approach to coding that teaches the basics of using the HTML and CSS programming languages (the language of web pages). You write the code in the pages of your workbook and then draw what it would look like in a web browser.
Teachers: This has everything you need to teach an introductory web development class, and the pages are perforated!
Students: Learn the basics of HTML and CSS to build your own custom website!
Once you've finished the workbook you'll have the skills to easily build and launch a website. It's that easy!
This exercise-filled workbook is packed with illustrations and progress quizzes, making it perfect for at-home learning or schools lacking sufficient computer or internet access. It has everything you need to teach a coding class or learn basic web programming yourself.
You don't n ...
Machine Learning for Kids
Artificial intelligence (AI) is the ability of computers to simulate human thinking. Machine learning (ML) is one of the building blocks of AI. It's based on the idea that computers can be taught to do things on their own from the data and feedback you give them.
Machine Learning for Kids consists of this book and a kid-friendly companion website paired with the educational coding platform, Scratch. Together, they provide an easy-to-use guided programming environment for adding ML capabilities to your own AI projects!
As you work through each chapter you'll discover how ML systems can be taught to recognize text, images, numbers, and sounds, and different ways of training ML models to improve their accuracy. You'll turn your models into fun computer games and apps (and see what happens when an AI system gets confused by bad data) while building:
- A Rock, Paper, Scissors game that knows your hand shapes;
- A smart question-answering chatbot;
- A computer character that reacts ...
PoC||GTFO, Volume 3
The International Journal of Proof-of-Concept or Get The Fuck Out is a celebrated collection of short essays on computer security, reverse engineering and retrocomputing topics by many of the world's most famous hackers. This third volume contains all articles from releases 14 to 18 in the form of an actual, bound bible.
Topics include how to dump the ROM from one of the most secure Sega Genesis games ever created; how to create a PDF that is also a Git repository; how to extract the Game Boy Advance BIOS ROM; how to sniff Bluetooth Low Energy communications with the BCC Micro:Bit; how to conceal ZIP Files in NES Cartridges; how to remotely exploit a TetriNET Server; and more.
The journal exists to remind us of what a clever engineer can build from a box of parts and a bit of free time. Not to showcase what others have done, but to explain how they did it so that readers can do these and other clever things themselves. ...
How the Internet Really Works
The internet has profoundly changed interpersonal communication, but most of us don't really understand how it works. What enables information to travel across the internet? Can we really be anonymous and private online? Who controls the internet, and why is that important? And… what's with all the cats?
How the Internet Really Works answers these questions and more. Using clear language and whimsical illustrations, the authors translate highly technical topics into accessible, engaging prose that demystifies the world's most intricately linked computer network. Alongside a feline guide named Catnip, you'll learn about:
- The "How-What-Why" of nodes, packets, and internet protocols;
- Cryptographic techniques to ensure the secrecy and integrity of your data;
- Censorship, ways to monitor it, and means for circumventing it;
- Cybernetics, algorithms, and how computers make decisions;
- Centralization of internet power, its impact on democracy, and how it hurts human rights;
With its emphasis on project-based practice, Real World Python will take you from playing with syntax to writing complete programs in no time. You'll conduct experiments, explore statistical concepts, and solve novel problems that have frustrated geniuses throughout history, like detecting distant exoplanets, as you continue to build your Python skills.
Chapters begin with a clearly defined project goal and a discussion of ways to attack the problem, followed by a mission designed to make you think like a programmer. You'll direct a Coast Guard search-and-rescue effort, plot and execute a NASA flight to the moon, protect access to a secure lab using facial recognition, and more. Along the way you'll learn how to: Use libraries like matplotlib, NumPy, Bokeh, pandas, Requests, Beautiful Soup, and turtle; Work with Natural Language Processing and computer vision modules like NLTK and OpenCV; Write a program to detect and track objects moving across a starfield; Scrape speeches from the ...