Build a Career in Data Science
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. What are the keys to a data scientist's long-term success? Blending your technical know-how with the right "soft skills" turns out to be a central ingredient of a rewarding career. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you'll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You'll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the bo ...
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. What are the keys to a data scientist's long-term success? Blending your technical know-how with the right "soft skills" turns out to be a central ingredient of a rewarding career. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you'll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You'll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the bo ...
Spark in Action, 2nd Edition
The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, 2nd Edition, you'll learn to take advantage of Spark's core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark's powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop. Analyzing enterprise data starts by reading, filtering, and merging files and streams from many sources. The Spark data processing engine handles this varied volume like a champ, delivering speeds 100 times faster than Hadoop systems. Thanks to SQL support, an intuitive interface, and a straightforward multilanguage API, you can use Spark without learning a complex new ecosystem. Spark in Action, 2nd Edition, teaches you to create end-to-end analytics ...
The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, 2nd Edition, you'll learn to take advantage of Spark's core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark's powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop. Analyzing enterprise data starts by reading, filtering, and merging files and streams from many sources. The Spark data processing engine handles this varied volume like a champ, delivering speeds 100 times faster than Hadoop systems. Thanks to SQL support, an intuitive interface, and a straightforward multilanguage API, you can use Spark without learning a complex new ecosystem. Spark in Action, 2nd Edition, teaches you to create end-to-end analytics ...
Beginning Ring Programming
Gain a gentle introduction to the world of Ring programming with clarity as a first concern using a lot of practical examples. The first part lays the foundations of the language and its basic features (data types, control structures, functions, and classes). The unique way to rigorously structure Ring programs is also explained. Then, in the second part you'll discover Ring inputs, outputs, and what is in between. You'll use the basic constructs of computer logic (sequence, selection, and iteration) to build simple and complex logic flows. You'll go over the common mistakes that lead to code complexity, by example, and cover several strategies to solve them (refactoring, code cleansing, and good variable naming). Then, you'll see a visual illustration of how Ring deals with scopes at the local, object, and global levels. In part three, you'll play with two artifacts vital to Ring programming: functions and objects. You'll learn how they can be composed to solve a problem and ho ...
Gain a gentle introduction to the world of Ring programming with clarity as a first concern using a lot of practical examples. The first part lays the foundations of the language and its basic features (data types, control structures, functions, and classes). The unique way to rigorously structure Ring programs is also explained. Then, in the second part you'll discover Ring inputs, outputs, and what is in between. You'll use the basic constructs of computer logic (sequence, selection, and iteration) to build simple and complex logic flows. You'll go over the common mistakes that lead to code complexity, by example, and cover several strategies to solve them (refactoring, code cleansing, and good variable naming). Then, you'll see a visual illustration of how Ring deals with scopes at the local, object, and global levels. In part three, you'll play with two artifacts vital to Ring programming: functions and objects. You'll learn how they can be composed to solve a problem and ho ...
An Introduction to C & GUI Programming
Even if you are an absolute beginner, this book will teach you all you need to know to write simple programs in C and start creating GUIs. The first half of the book is an introduction to C, and covers the basics of writing simple command-line programs. The second half shows how to use the GTK user interface toolkit with C to create feature-rich GUI applications which can be run on the desktop. Create simple command-line C programs; Control flow with conditions and loops; Handle variables, strings, and files; Design graphical user interface applications in C; Handle user input with buttons and menus; Use advanced UI features such as data stores and dialogs. ...
Even if you are an absolute beginner, this book will teach you all you need to know to write simple programs in C and start creating GUIs. The first half of the book is an introduction to C, and covers the basics of writing simple command-line programs. The second half shows how to use the GTK user interface toolkit with C to create feature-rich GUI applications which can be run on the desktop. Create simple command-line C programs; Control flow with conditions and loops; Handle variables, strings, and files; Design graphical user interface applications in C; Handle user input with buttons and menus; Use advanced UI features such as data stores and dialogs. ...
Startups in Action
The growing pains of a startup's initial year in business require a keen awareness of uncertainties and a willingness to adapt in order to survive. Today's new founders greatly benefit from taking a behind-the-scenes look at successful companies such as Etsy, HotelTonight, Fiverr, and more in regards to how they overcame the challenges of their first year. Startups in Action is your curated source for critical insights and inspiration from those who have been there before. This book documents the month-to-month journeys of these companies in their first year, zeroing in on key decisions that helped them recover from missteps, and adapt to complications, to eventually grow and succeed. Were the founders full-time from the beginning? How long did it take them to build a working prototype? How many end-users did they have in the first year? The answers to these questions are of interest to those who are just starting out and want to learn by example. Collected from interviews with the ...
The growing pains of a startup's initial year in business require a keen awareness of uncertainties and a willingness to adapt in order to survive. Today's new founders greatly benefit from taking a behind-the-scenes look at successful companies such as Etsy, HotelTonight, Fiverr, and more in regards to how they overcame the challenges of their first year. Startups in Action is your curated source for critical insights and inspiration from those who have been there before. This book documents the month-to-month journeys of these companies in their first year, zeroing in on key decisions that helped them recover from missteps, and adapt to complications, to eventually grow and succeed. Were the founders full-time from the beginning? How long did it take them to build a working prototype? How many end-users did they have in the first year? The answers to these questions are of interest to those who are just starting out and want to learn by example. Collected from interviews with the ...
Neural Networks and Deep Learning
This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. ...
This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. ...
Adobe Illustrator CC For Dummies
Adobe Illustrator CC offers a vibrant tool for creating drawings and illustrations in a digital environment. It takes some practice to get a feel for the digital pens, pencils, paintbrushes, and erasers, though. Adobe Illustrator CC For Dummies offers the guidance you need to turn your ideas into real drawings. Written by an Illustrator trainer and expert, this book walks those new to the tool through the basics of drawing, editing, and applying the unique tools found in this popular program. Create illustrations using simple shapes; Touch up images using pen, pencil, and brush tools; Import your illustrations into other graphic apps; Apply special effects and add type. This book is essential reading for new and beginning illustrators who are either adopting a digital tool for the first time, switching from an existing tool to Illustrator, or adding Illustrator know-how to existing Adobe knowledge. ...
Adobe Illustrator CC offers a vibrant tool for creating drawings and illustrations in a digital environment. It takes some practice to get a feel for the digital pens, pencils, paintbrushes, and erasers, though. Adobe Illustrator CC For Dummies offers the guidance you need to turn your ideas into real drawings. Written by an Illustrator trainer and expert, this book walks those new to the tool through the basics of drawing, editing, and applying the unique tools found in this popular program. Create illustrations using simple shapes; Touch up images using pen, pencil, and brush tools; Import your illustrations into other graphic apps; Apply special effects and add type. This book is essential reading for new and beginning illustrators who are either adopting a digital tool for the first time, switching from an existing tool to Illustrator, or adding Illustrator know-how to existing Adobe knowledge. ...
Automated Machine Learning
This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for pract ...
This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for pract ...
Modeling and Simulation in Python
Modeling and Simulation in Python is an introduction to physical modeling using a computational approach. It is organized in three parts: The first part presents discrete models, including a bikeshare system and world population growth; The second part introduces first-order systems, including models of infectious disease, thermal systems, and pharmacokinetics; The third part is about second-order systems, including mechanical systems like projectiles, celestial mechanics, and rotating rigid bodies. Taking a computational approach makes it possible to work with more realistic models than what you typically see in a first-year physics class, with the option to include features like friction and drag. Python is an ideal programming language for this material. It is a good first language for people who have not programmed before, and it provides high-level data structures that are well-suited to express solutions to the problems we are interested in. ...
Modeling and Simulation in Python is an introduction to physical modeling using a computational approach. It is organized in three parts: The first part presents discrete models, including a bikeshare system and world population growth; The second part introduces first-order systems, including models of infectious disease, thermal systems, and pharmacokinetics; The third part is about second-order systems, including mechanical systems like projectiles, celestial mechanics, and rotating rigid bodies. Taking a computational approach makes it possible to work with more realistic models than what you typically see in a first-year physics class, with the option to include features like friction and drag. Python is an ideal programming language for this material. It is a good first language for people who have not programmed before, and it provides high-level data structures that are well-suited to express solutions to the problems we are interested in. ...
Native Mobile Development
Learn how to make mobile native app development easier. If your team frequently works with both iOS and Android - or plans to transition from one to the other - this hands-on guide shows you how to perform the most common development tasks in each platform. Want to learn how to make network connections in iOS? Or how to work with a database in Android? This book has you covered. In the book's first part, authors Shaun Lewis and Mike Dunn from O'Reilly's mobile engineering group provide a list of common, platform-agnostic tasks. The second part helps you create a bare-bones app in each platform, using the techniques from part one. Common file and database operations; Network communication with remote APIs; Application lifecycle; Custom views and components; Threading and asynchronous work; Unit and integration tests; Configuring, building, and running an app on a device. ...
Learn how to make mobile native app development easier. If your team frequently works with both iOS and Android - or plans to transition from one to the other - this hands-on guide shows you how to perform the most common development tasks in each platform. Want to learn how to make network connections in iOS? Or how to work with a database in Android? This book has you covered. In the book's first part, authors Shaun Lewis and Mike Dunn from O'Reilly's mobile engineering group provide a list of common, platform-agnostic tasks. The second part helps you create a bare-bones app in each platform, using the techniques from part one. Common file and database operations; Network communication with remote APIs; Application lifecycle; Custom views and components; Threading and asynchronous work; Unit and integration tests; Configuring, building, and running an app on a device. ...