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The Art Of Machine Learning - Norman Matloff - Bog - No Starch Press,US - Plusbog.dk

The Art Of Machine Learning - Norman Matloff - Bog - No Starch Press,US - Plusbog.dk

Machine learning without advanced math! This book presents a serious, practical look at machine learning, preparing you for valuable insights on your own data. The Art of Machine Learning is packed with real dataset examples and sophisticated advice on how to make full use of powerful machine learning methods. Readers will need only an intuitive grasp of charts, graphs, and the slope of a line, as well as familiarity with the R programming language. You''ll become skilled in a range of machine learning methods, starting with the simple k-Nearest Neighbours method (k-NN), then on to random forests, gradient boosting, linear/logistic models, support vector machines, the LASSO, and neural networks. Final chapters introduce text and image classification, as well as time series. You''ll learn not only how to use machine learning methods, but also why these methods work, providing the strong foundational background you''ll need in practice. Additional features: How to avoid common problems, such as dealing with ''dirty'' data and factor variables with large numbers of levels; A look at typical misconceptions, such as dealing with unbalanced data; Exploration of the famous Bias-Variance Tradeoff, central to machine learning, and how it plays out in practice for each machine learning method; Dozens of illustrative examples involving real datasets of varying size and field of application; Standard R packages are used throughout, with a simple wrapper interface to provide convenient access. After finishing this book, you will be well equipped to start applying machine learning techniques to your own datasets.

DKK 455.00
1

Machine Learning For Kids - Dale Lane - Bog - No Starch Press,US - Plusbog.dk

Inside the Machine - Jon Stokes - Bog - No Starch Press,US - Plusbog.dk

Inside the Machine - Jon Stokes - Bog - No Starch Press,US - Plusbog.dk

This is a softcover version of the original hardcover edition released December 28, 2006 (ISBN 9781593271046). Computers perform countless tasks ranging from the business critical to the recreational, but regardless of how differently they may look and behave, they''re all amazingly similar in basic function. Once you understand how the microprocessor-or central processing unit (CPU)-works, you''ll have a firm grasp of the fundamental concepts at the heart of all modern computing. Inside the Machine , from the co-founder of the highly respected Ars Technica website, explains how microprocessors operate-what they do and how they do it. Now in softcover, the book uses analogies, full-color diagrams, and clear language to convey the ideas that form the basis of modern computing. After discussing computers in the abstract, the book examines specific microprocessors from Intel, IBM, and Motorola, from the original models up through today''s leading processors. It contains the most comprehensive and up-to-date information available (online or in print) on Intel''s latest processors: the Pentium M, Core, and Core 2 Duo. Inside the Machine also explains technology terms and concepts that readers often hear but may not fully understand, such as ''pipelining,'' ''L1 cache,'' ''main memory,'' ''superscalar processing,'' and ''out-of-order execution.'' Includes discussion of: - Parts of the computer and microprocessor - Programming fundamentals (arithmetic instructions, memory accesses, control flow instructions, and data types) - Intermediate and advanced microprocessor concepts (branch prediction and speculative execution) - Intermediate and advanced microprocessor concepts (branch prediction and speculative execution) - Intermediate and advanced computing concepts (instruction set architectures, RISC and CISC, the memory hierarchy, and encoding and decoding machine language instructions) - 64-bit computing vs. 32-bit computing - Caching and performance Inside the Machine is perfect for students of science and engineering, IT and business professionals, and the growing community of hardware tinkerers who like to dig into the guts of their machines.

DKK 466.00
1

Machine Learning Q and AI - Sebastian Raschka - Bog - No Starch Press,US - Plusbog.dk

Machine Learning Q and AI - Sebastian Raschka - Bog - No Starch Press,US - Plusbog.dk

If you''ve locked down the basics of machine learning and AI and want a fun way to address lingering knowledge gaps, this book is for you. This rapid-fire series of short chapters addresses 30 essential questions in the field, helping you stay current on the latest technologies you can implement in your own work. Each chapter of Machine Learning and AI Beyond the Basics asks and answers a central question, with diagrams to explain new concepts and ample references for further reading. This practical, cutting-edge information is missing from most introductory coursework, but critical for real-world applications, research, and acing technical interviews. You won''t need to solve proofs or run code, so this book is a perfect travel companion. You''ll learn a wide range of new concepts in deep neural network architectures, computer vision, natural language processing, production and deployment, and model evaluation, including how to: Reduce overfitting with altered data or model modifications; Handle common sources of randomness when training deep neural networks; Speed up model inference through optimization without changing the model architecture or sacrificing accuracy; Practically apply the lottery ticket hypothesis and the distributional hypothesis; Use and finetune pretrained large language models; Set up k-fold cross-validation at the appropriate time. You''ll also learn to distinguish between self-attention and regular attention; name the most common data augmentation techniques for text data; use various self-supervised learning techniques, multi-GPU training paradigms, and types of generative AI; and much more. Whether you''re a machine learning beginner or an experienced practitioner, add new techniques to your arsenal and keep abreast of exciting developments in a rapidly changing field.

DKK 455.00
1

The Shape of Data - Colleen M. Farrelly - Bog - No Starch Press,US - Plusbog.dk

Practical Deep Learning - Ron Kneusel - Bog - No Starch Press,US - Plusbog.dk

The Secret Life Of Programs - Jon Steinhart - Bog - No Starch Press,US - Plusbog.dk

The Android Malware Handbook - Sai Deep Tetali - Bog - No Starch Press,US - Plusbog.dk

Practical Deep Learning, 2nd Edition - Ronald T. Kneusel - Bog - No Starch Press,US - Plusbog.dk

Practical Deep Learning, 2nd Edition - Ronald T. Kneusel - Bog - No Starch Press,US - Plusbog.dk

If you've been curious about artificial intelligence and 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, 2nd Edition 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 Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they're trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You'll conduct experiments along the way, building to a final case study that incorporates everything you've learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.

DKK 614.00
1

Introduction to Computer Organization: ARM Edition - Robert G. Plantz - Bog - No Starch Press,US - Plusbog.dk

Dive Into Algorithms - Bradford Tuckfield - Bog - No Starch Press,US - Plusbog.dk

Malware Data Science - Hillary Sanders - Bog - No Starch Press,US - Plusbog.dk

Rootkits and Bootkits - Sergey Bratus - Bog - No Starch Press,US - Plusbog.dk

Deep Learning Crash Course - Jesus Pineda - Bog - No Starch Press,US - Plusbog.dk

The Linux Command Line, 2nd Edition - William E. Jr. Shotts - Bog - No Starch Press,US - Plusbog.dk

Clojure for the Brave and True - Daniel Higginbotham - Bog - No Starch Press,US - Plusbog.dk

Linux Basics for Hackers, 2nd Edition - Occupytheweb - Bog - No Starch Press,US - Plusbog.dk

Linux Basics for Hackers, 2nd Edition - Occupytheweb - Bog - No Starch Press,US - Plusbog.dk

If you''re getting started along the exciting path of hacking, cybersecurity, and pentesting, this book is an excellent first step. Using Kali Linux - an advanced penetration testing distribution of Linux - you''ll quickly pick up the basics of using the Linux operating system, and acquire the tools and techniques you''ll need to take control of a Linux environment. Later chapters focus on foundational hacking concepts like security, anonymity and scripting, along with practical tutorials and exercises that test your skills. This fully revised second edition covers the latest version of Kali, includes new options for setting up a Linux virtual machine, and discusses some differences between the bash and Z shells used on the newest versions of the distribution. It also addresses contemporary examples of real-world hacking, such as the cyberwar between Russia and Ukraine. You''ll learn how to: Install Kali on a virtual machine and build your own hacking tools; Perform common tasks like manipulating text and controlling file and directory permissions; Cover your tracks by leveraging the rsyslog logging utility; Hide your internet activity using Tor, proxy servers, VPNs, and encrypted email; Write bash and Python scripts to scan open ports for potential targets. If you''re ready to dive into hacking, cybersecurity, or pentesting, Linux Basics for Hackers, 2nd Edition is exactly what you need to get going.

DKK 331.00
1

Penetration Testing - Georgia Weidman - Bog - No Starch Press,US - Plusbog.dk

Penetration Testing - Georgia Weidman - Bog - No Starch Press,US - Plusbog.dk

Penetration testers simulate cyber attacks to find security weaknesses in networks, operating systems, and applications. Information security experts worldwide use penetration techniques to evaluate enterprise defenses. In Penetration Testing, security expert, researcher, and trainer Georgia Weidman introduces you to the core skills and techniques that every pentester needs. Using a virtual machine based lab that includes Kali Linux and vulnerable operating systems, you ll run through a series of practical lessons with tools like Wireshark, Nmap, and Burp Suite. As you follow along with the labs and launch attacks, you ll experience the key stages of an actual assessment including information gathering, finding exploitable vulnerabilities, gaining access to systems, post exploitation, and more. Learn how to: Crack passwords and wireless network keys with brute-forcing and wordlists Test web applications for vulnerabilities Use the Metasploit Framework to launch exploits and write your own Metasploit modules Automate social-engineering attacks Bypass antivirus software Turn access to one machine into total control of the enterprise in the post exploitation phase You ll even explore writing your own exploits. Then it s on to mobile hacking Weidman s particular area of research with her tool, the Smartphone Pentest Framework. With its collection of hands-on lessons that cover key tools and strategies, Penetration Testing is the introduction that every aspiring hacker needs.

DKK 395.00
1

Dive Into Data Science - Bradford Tuckfield - Bog - No Starch Press,US - Plusbog.dk

Python Playground, 2nd Edition - Mahesh Venkitachalam - Bog - No Starch Press,US - Plusbog.dk

Practical Julia - Lee Phillips - Bog - No Starch Press,US - Plusbog.dk

How AI Works - Ronald T. Kneusel - Bog - No Starch Press,US - Plusbog.dk

The Art of Randomness - Ronald T. Kneusel - Bog - No Starch Press,US - Plusbog.dk

Black Hat Python - Justin Seitz - Bog - No Starch Press,US - Plusbog.dk

The Art of ARM Assembly Volume 1 - Randall Hyde - Bog - No Starch Press,US - Plusbog.dk