You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.
Andreas Müller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at Amazon for a year, he recently joined the Center for Data Science at the New York University. In the last four years, he has been maintainer and one of the core contributor of scikit-learn, a machine learning toolkit widely used in industry and academia, and author and contributor to several other widely used machine learning packages.
Table of Contents
Introduction -Chapter 1 Development Setup, Basic Toolkit, Chapter 2 A Language-Learning Bridge Between Python and JavaScript, Chapter 3 Reading and Writing Data with Python, Chapter 4 Webdev 101, Getting Your Data- Chapter 5 Getting Data off the Web with Python, Chapter 6 Heavyweight Scraping with Scrapy, Cleaning and Exploring Data with Pandas, Chapter 7 Introduction to NumPy, Chapter 8 Introduction to Pandas, Chapter 9 Cleaning Data with Pandas, Chapter 10 Visualizing Data with Matplotlib, Chapter 11 Exploring Data with Pandas. Delivering the Data- Chapter 12 Delivering the Data, Chapter 13 RESTful Data with Flask, Visualizing Your Data with D3- Chapter 14 Imagining a Nobel Visualization, Chapter 15 Building a Visualization, Chapter 16 Introducing D3—The Story of a Bar Chart, Chapter 17 Visualizing Individual Prizes, Chapter 18 Mapping with D3, Chapter 19 Visualizing Individual Winners,Chapter 20 The Menu Bar,Chapter 21 Conclusion,Appendix Moving from Development to Production
Chapter 1 Sustainability and the Internet, Chapter 2 A Sustainable Web Design Primer, Chapter 3 Sustainable Components, Chapter 4 Content Strategy, Chapter 5 Design and UX, Chapter 6 Performance Optimization, Chapter 7 Digital Carbon Footprints, Chapter 8 A Future-Friendly Internet, Appendix Figure Attributions and Links, Appendix Acknowledgments, Appendix About the Author, Appendix O’reilly®: Designing for Sustainability
Chapter 1 Python Basics ,Chapter 2 Comma-Separated Values (CSV) Files,Chapter 3 Excel Files,Chapter 4 Databases,Chapter 5 Applications,Chapter 6 Figures and Plots,Chapter 7 Descriptive Statistics and Modeling,Chapter 8 Scheduling Scripts to Run Automatically,Chapter 9 Where to Go from Here,Appendix Download Instructions,Appendix Answers to Exercises
1. Language, Chapter 1The Architecture of Swift, Chapter 2 Functions, Chapter 3 Variables and Simple Types, Chapter 4 Object Types, Chapter 5 Flow Control and More, 2. IDE, Chapter 6 Anatomy of an Xcode Project, Chapter 7 Nib Management, Chapter 8 Documentation, Chapter 9 Life Cycle of a Project. 3. Cocoa, Chapter 10 Cocoa Classes, Chapter 11 Cocoa Events, 3. Chapter 12 Memory Management, Chapter 13 Communication Between Objects, Appendix C, Objective-C, and Swift
Chapter 1 Juniper MX Architecture, Chapter 2 Bridging, VLAN Mapping, IRB, and Virtual Switches, Chapter 3 Stateless Filters, Hierarchical Policing, and Tri-Color Marking, Chapter 4 Routing Engine Protection and DDoS Prevention, Chapter 5 Trio Class of Service, Chapter 6 MX Virtual Chassis, Chapter 7 Trio Load Balancing, Chapter 8 Trio Inline Services, Chapter 9 Multi-Chassis Link Aggregation, Chapter 10 Junos High Availability on MX Routers, Chapter 11 The Virtual MX
Introduction and Principles, Chapter 1 Lean UX: More Important Now Than Ever Before, Chapter 2 Principles ,Process, Chapter 3 Driving Vision with Outcomes, Chapter 4 Collaborative Design, Chapter 5 Minimum Viable Products and Prototypes,Chapter 6 Feedback and Research,Lean UX in Your Organization,Chapter 7 Integrating Lean UX and Agile, Chapter 8 Making Organizational Shifts, Chapter 9 Case Studies,
Chapter 1 Starting Up Ruby on Rails,Chapter 2 Rails on the Web, Chapter 3 Adding Web Style, Chapter 4 Managing Data Flow: Controllers and Models, Chapter 5 Accelerating Development with Scaffolding and REST, Chapter 6 Presenting Models with Forms, Chapter 7 Strengthening Models with Validation, Chapter 8 Improving Forms, Chapter 9 Developing Model Relationships, Chapter 10 Managing Databases with Migrations, Chapter 11 Debugging, Chapter 12 Testing, Chapter 13 Sessions and Cookies, Chapter 14 Users and Authentication, Chapter 15 Routing,Chapter 16 From CSS to Sass,Chapter 17 Managing Assets and Bundles, Chapter 18 Sending Code to the Browser: JavaScript and CoffeeScript, Chapter 19 Mail in Rails, Chapter 20 Pushing Further into Rails,Appendix An Incredibly Brief Introduction to Ruby,Appendix An Incredibly Brief Introduction to Relational Databases, Appendix An Incredibly Brief Guide to Regular Expressions, Appendix Glossary
1 Crazy Kitchen Gadgets and Useful Utensils,2 Create Chemical Cuisine , 3 Hack It from Scratch ,4 Grow Your Own Ingredients ,5 Cook off the Grid
Preface,1 How to Study Tree Rings,2 Snow Science ,3 Tracking Heat Islands ,4 Vibration Sensors ,5 Make an Experimental Optical Fiber Seismometer, 6 Ultra-Simple Sunshine Recorders, 7 The Infrared Thermometer: An Essential Science Gadget,8 Capturing and Studying Airborne Dust, Smoke, and Spores,9 Track the Leading Greenhouse Gas,10 Build a Twilight Photometer, part 1,11 Build a Twilight Photometer, part 2 ,12 How to Analyze Scientific Images,13 Doing Science with a Digital Scanner , 14 Data Mining: How to Analyze Online Scientific Data, 15 Using Sensors with Dataloggers , 16 How to Document What You Make or Discover,17 MARS-BOT: Adding Science to Robotics, 18 How to Photograph the Solar Aureole , 19 Record Your World from a Picture Post , 20 Digital Pinhole Photography,21 How to Make and Use Retroreflectors,22 How to Use LEDs to Detect Light, 23 Use LEDs to Track Night-Launched Projectiles, 24 Connecting Fibers to LEDs and Sensors, 25 Transform Things into Sounds with the PunkPAC, 26 Making Synthesized Music from Your Data, 27 Startups: Origins of the PC Revolution, 28 Thomas Jefferson: Maker in Chief, 29 The Kit That Launched the Tech Revolution,30 When Projects Fail, Index
Introduction, Chapter 1: Glowies & Throwies, Chapter 2: Paper Circuits,Chapter 3: Soft Circuitry & Wearables,Chapter 4: Twist, Solder, Tape & Hack.
Preface,1 Before You Start, 2 My Happy House. Make a Circuit. 3 A Winking Rabbit Doll. Create a Switch, 4 A Silly Ghost. Working with Parallel Circuits,5 Letter Magnets.Working with Light-Emitting Diodes (LEDs), 6 Purring Elephant Pillow. Animating with Motors, 7 Nightlight Cat Bracelet.Working with Light Sensors,8 A Beeping, Blinking UFO. Using the 555 Timer, 9 Solar Sun. Working with Solar Power, 10 Dice Board Game, Programming with Scratch and Makey Makey, A The Moonlit Flower, Using Snaps as a Switch.Index
Introduction,Chapter 1: A Perplexing Puzzler ,Chapter 2: The Curious Cube ,Chapter 3: Big Dice ,Chapter 4: Nailing It ,Chapter 5: Framing It ,Chapter 6: A Geometrical Jigsaw ,Chapter 7: A Piece of Parquetry, Chapter 8: Drilling It , Chapter 9: A Swanee Whistle,Chapter 10: A Basic Box , Chapter 11: A Bare-Minimum Bookcase,Chapter 12: Hanging on the Wall , Chapter 13: A Monster Truck, Chapter 14: A Pantograph , Chapter 15: Bending It , Chapter 16: A Better Box , Chapter 17: Another Better Box , Chapter 18: Transparency , Chapter 19: Color , Chapter 20: More Tools , Appendix: Buying Guide , Index
1.Working with CloudForms Automate - Chapter 1 Introduction to CloudForms,Chapter 2 Introduction to the Automate Datastore, Chapter 3 Writing and Running Our Own Automation Scripts,Chapter 4 Using Schema Variables,Chapter 5 Working with Virtual Machines,Chapter 6 Peeping Under the Hood,Chapter 7 ,evm and the Workspace, Chapter 8 A Practical Example: Enforcing Anti-Affinity Rules,Chapter 9 Using Tags from Automate,Chapter 10 Investigative Debugging,Chapter 11 Ways of Entering Automate,Chapter 12 Requests and Tasks,Chapter 13 State MachinesChapter 14 More Advanced Schema Features,Chapter 15 Event Processing,2. Provisioning Virtual Machines -Chapter 16 Provisioning a Virtual Machine, Chapter 18 Approval,Chapter 19 Quota Management,Chapter 20 The Options Hash, Chapter 21 The Provisioning State Machine,Chapter 22 Customizing Virtual Machine Provisioning,Chapter 23 Virtual Machine Naming During Provisioning,Chapter 24 Virtual Machine Placement During Provisioning, Chapter 25 The Provisioning Dialog, Chapter 26 Virtual Machine Provisioning Objects,Chapter 27 Creating Provisioning Requests Programmatically,Chapter 28 Integrating with Satellite 6 During Provisioning. 3. Working with Services-Chapter 29 Service Dialogs,Chapter 30 The Service Provisioning State Machine,Chapter 31 Catalog{Item,Bundle}Initialization,Chapter 32 Approval and Quota,Chapter 33 Creating a Service Catalog Item,Chapter 34 Creating a Service Catalog Bundle,Chapter 35 Service Objects,Chapter 36 Log Analysis During Service Provisioning,Chapter 37 Service Hierarchies,Chapter 39 Service Tips and Tricks. 4. Retirement-Chapter 40 Virtual Machine and Instance Retirement,Chapter 41 Service Retirement,5. Integration-Chapter 42 Calling Automation Using the RESTful API,Chapter 43 Automation Request Approval,Chapter 44 Calling External Services.6. Miscellaneous-Chapter 45 Distributed Automation Processing,Chapter 46 Argument Passing and Handling,Chapter 47 Miscellaneous Tips\n
Chapter 1 Introduction to a Container Application Platform, Chapter 2 Concepts You Need to Understand, Chapter 3 Installing the All-in-One VM, Chapter 4 Developing and Deploying Your First Application, Chapter 5 Adding Dependencies and a Database, Chapter 6 Deploying and Scaling Your Application, Chapter 7 Using Application Templates, Chapter 8 Working with Your Application,Chapter 9 Deploying an Existing Docker Image
Chapter 1 Why Design? Why Now?, Chapter 2 Realizing the Potential of Design, Chapter 3 12 Qualities of Effective Design Organizations, Chapter 4 The Centralized Partnership, Chapter 5 Roles and Team Composition, Chapter 6 Recruiting and Hiring, Chapter 7 Developing the Team: Professional Growth and Managing People, Chapter 8 Creating a Design Culture, Chapter 9 Successful Interaction with Other Disciplines, Chapter 10 Parting Thoughts, 11. Appendix About the Authors,12. Appendix O’Reilly: Org Design for Design Orgs
Chapter 1Â An Introduction to Performance Tuning, 2. Chapter 2 Workflow Management, 3. Chapter 3 Processors,4. Chapter 4 Memory,5. Chapter 5 Disks, 6. Chapter 6 Disk Arrays,7. Chapter 7 Networks, 8. Chapter 8 Code Tuning, 9. Chapter 9 Instant Tuning
Preface, Chapter 1 Picking an Interpreter, Chapter 2 Properly Installing Python, Chapter 3 You Development Environment, Chapter 4 Writing Great Code, Chapter 5 Reading Great Code, Chapter 6 Shipping Great Code, Chapter 7 User Interaction,Chapter 8 Code Management and Improvement, Chapter 9 Software Interfaces, Chapter 10 Data Manipulation, Chapter 11 Data Persistence, Appendix A Additional Notes
Chapter 1 Sounds and Signals,Chapter 2 Harmonics,Chapter 3 Non-Periodic Signals, Chapter 4 Noise, Chapter 5 Autocorrelation, Chapter 6 Discrete Cosine Transform, Chapter 7 Discrete Fourier Transform, Chapter 8 Filtering and Convolution, Chapter 9 Differentiation and Integration, Chapter 10 LTI Systems,Chapter 11 Modulation and Sampling
Chapter 1 Let’s Not Be Boring, Chapter 2 Do Not Skip This Chapter, Chapter 3 Breaking Entropy, Chapter 4 Variable-Length Codes, Chapter 5 Statistical Encoding, Chapter 6 Adaptive Statistical Encoding, Chapter 7 Dictionary Transforms, Chapter 8 Contextual Data Transforms, Chapter 9 Data Modeling, Chapter 10 Switching Gears, Chapter 11 Evaluating Compression, Chapter 12 Compressing Image Data Types, Chapter 13 Serialized Data, Chapter 14 Lossy Data Compression, Chapter 15 Making the World a Little Smaller
Availability - Chapter 1 What Is Availability?,Chapter 2 Five Focuses to Improve Application Availability,Chapter 3 Measuring Availability,Chapter 4 Improving Your Availability When It Slips. Risk Management- Chapter 5 What Is Risk Management?,Chapter 6 Likelihood Versus Severity,Chapter 7 The Risk Matrix,Chapter 8 Risk Mitigation,Chapter 9 Game Days, Chapter 10 Building Systems with Reduced Risk. Services and Microservices -Chapter 11 Why Use Services?,Chapter 12 Using Microservices, Chapter 13 Dealing with Service Failures. Scaling Applications -Chapter 14 Two Mistakes High,Chapter 15 Service Ownership,Chapter 16 Service Tiers,Chapter 17 Using Service Tiers,Chapter 18 Service-Level Agreements,Chapter 19 Continuous Improvement. Cloud Services -Chapter 20 Change and the Cloud,Chapter 21 Distributing the Cloud, Chapter 22 Managed Infrastructure, Chapter 23 Cloud Resource Allocation,Chapter 24 Scalable Computing Options,Chapter 25 AWS Lambda.Conclusion-Chapter 26 Putting It All Together
Chapter 1 Introduction, Chapter 2 Adapt or Die,Chapter 3 Cloud-Native Platforms, Chapter 4 Do More,Chapter 5 Breaking Down Silos,Chapter 6 Summary
Chapter 1 What Is a Decentralized Application?,Chapter 2 A Flourishing Dapp Ecosystem,Chapter 3 Building Your First Dapp,Chapter 4 OpenBazaar,Chapter 5 Lighthouse,Chapter 6 La’Zooz
Chapter 1 Introduction, Chapter 2 Supervised Learning, Chapter 3 Unsupervised Learning and Preprocessing, Chapter 4 Representing Data and Engineering Features, Chapter 5 Model Evaluation and Improvement, Chapter 6 Algorithm Chains and Pipelines, Chapter 7 Working with Text Data, Chapter 8 Wrapping Up
