Products related to Machine-learning:
-
Programming Machine Learning : From Coding to Deep Learning
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool.But where to start? It's easy to be intimidated, even as a software developer.The good news is that it doesn't have to be that hard.Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system.Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning.Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work.Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on.Iterate on your design, and add layers of complexity as you go.Build an image recognition application from scratch with supervised learning.Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning.Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets.Train and refine those networks with backpropagation and batching.Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.Start from the beginning and code your way to machine learning mastery.What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly.Apart from that, you'll only need your computer, and your code-adept brain.
Price: 38.50 £ | Shipping*: 0.00 £ -
AI and Machine Learning for On-Device Development
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox.This insightful book is your guide to creating models and running them on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML.If you're a mobile developer, this book will help you take advantage of the ML revolution today. Explore the options for implementing ML and AI on mobile devices--and when to use eachCreate ML models for iOS and AndroidWrite ML Kit and TensorFlow Lite apps for iOS and Android and Core ML/Create ML apps for iOSUnderstand how to choose the best techniques and tools for your use case: on-device inference versus cloud-based inference, high-level APIs versus low-level APIs, and moreLearn privacy and ethics best practices for ML on devices
Price: 52.99 £ | Shipping*: 0.00 £ -
Machine Learning
Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research.This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics.It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning.Each chapter includes exercises and further reading, so that readers can explore areas of interest.The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors.It is also a useful reference resource for researchers and practitioners of machine learning.
Price: 54.99 £ | Shipping*: 0.00 £ -
Machine Learning Interviews : Kickstart Your Machine Learning Career
As tech products become more prevalent today, the demand for machine learning professionals continues to grow.But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict.In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee.She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.You'll quickly understand how to successfully navigate your way through typical ML interviews. This guide shows you how to:Explore various machine learning roles, including ML engineer, applied scientist, data scientist, and other positionsAssess your interests and skills before deciding which ML role(s) to pursueEvaluate your current skills and close any gaps that may prevent you from succeeding in the interview processAcquire the skill set necessary for each machine learning roleAce ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questionsPrepare for interviews in statistics and machine learning theory by studying common interview questions
Price: 63.99 £ | Shipping*: 0.00 £
-
Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
-
Is it worth learning web development?
Yes, learning web development can be worth it for many reasons. It is a valuable skill in today's digital age, with a high demand for web developers in the job market. It can also provide opportunities for freelance work and entrepreneurship. Additionally, web development allows you to create and customize websites and web applications, which can be a rewarding and creative endeavor.
-
Why deep learning compared to machine learning?
Deep learning is a subset of machine learning that uses neural networks to learn from data. It is more powerful than traditional machine learning techniques because it can automatically discover and learn from complex patterns and features in the data without the need for explicit feature engineering. Deep learning can handle large amounts of data and is capable of learning from unstructured data such as images, audio, and text, making it more versatile and effective for a wide range of applications. Additionally, deep learning models can continuously improve their performance with more data, making them more adaptable and scalable compared to traditional machine learning models.
-
Should one still focus on learning traditional programming languages or specialize in web development?
It ultimately depends on an individual's career goals and interests. Traditional programming languages such as Java, C++, and Python are still widely used in various industries and can provide a strong foundation in computer science principles. On the other hand, specializing in web development can be a lucrative career path, as the demand for web developers continues to grow. It may be beneficial to have a strong understanding of traditional programming languages while also gaining expertise in web development to have a well-rounded skill set.
Similar search terms for Machine-learning:
-
gashapon machine play house candy game machine learning machine candy learning play house learning
gashapon machine play house candy game machine learning machine candy learning play house learning
Price: 7.02 € | Shipping*: 0 € -
Grokking Machine Learning
It's time to dispel the myth that machine learning is difficult.Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math.No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you.Practical examples illustrate each new concept to ensure you’re grokking as you go.You’ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill.Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features · Different types of machine learning, including supervised and unsupervised learning · Algorithms for simplifying, classifying, and splitting data · Machine learning packages and tools · Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data.This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system.He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal.He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.
Price: 47.99 £ | Shipping*: 0.00 £ -
A.I. Machine Learning
Essential exploration of artificial intelligence and its key roles, components, uses, benefits and challenges within a wide range of real-world applications.Dr. Kyle Allison, senior executive, professor, speaker and author who is focused on all things digital uses his multi-faceted knowledge and experience from teaching and consulting to offer valuable and succinct need-to-know facts in 6 laminated pages.Working on digital strategies of all sizes including retailers like Best Buy, Dick’s Sporting Goods, VF Corporation and more, Dr. Allison focuses on the most important functions of AI for business strategy in our famous QuickStudy format that gives more answers per page than any other source.AI has the power to improve performance, ensure quality standards and boost the output of resources.At this price do not miss this eye-opening tool that can offer you direction for the use of AI for everything from data management and finance to customer service, human resources, and more.
Price: 7.99 £ | Shipping*: 3.99 £ -
Python Programming & Machine Learning Alpha Academy Code
Introducing the Python Programming & Machine Learning bundle, a dynamic collection tailored for enthusiasts looking to master Python and delve into the fascinating world of machine learning. Packed with courses like "Learn Python Programming From A-Z," "Understand the Basics of Machine Learning," and "Google Cloud Platform Big Data and Machine Learning Fundamentals," this bundle offers a comprehensive learning journey from Python basics to machine learning mastery. This bundle comprises well-...
Price: 15.99 € | Shipping*: 0.00 €
-
What is the difference between Deep Learning and Machine Learning?
Deep learning is a subset of machine learning that uses artificial neural networks to learn from data. It involves training these neural networks with large amounts of labeled data to make predictions or decisions. Machine learning, on the other hand, is a broader field that encompasses various techniques and algorithms for computers to learn from data and make predictions without being explicitly programmed. While machine learning can involve simpler algorithms like decision trees or support vector machines, deep learning typically involves more complex neural network architectures and requires a large amount of data for training.
-
Is machine learning just a hype?
Machine learning is not just a hype, but a rapidly advancing field with real-world applications across various industries. It has proven to be a valuable tool for solving complex problems, making predictions, and automating tasks. The increasing availability of data and computing power has further accelerated the development and adoption of machine learning techniques. As a result, it is becoming an integral part of many businesses and technologies, demonstrating its practical significance beyond just being a passing trend.
-
Does anyone know about machine learning?
Yes, machine learning is a rapidly growing field in computer science that focuses on developing algorithms and techniques that allow computers to learn from and make predictions or decisions based on data. It has applications in a wide range of industries, including healthcare, finance, and technology. Many companies and researchers are actively working on advancing machine learning techniques and applying them to real-world problems.
-
Is machine learning already artificial intelligence?
Machine learning is a subset of artificial intelligence. It involves training a machine to learn from data and make predictions or decisions without being explicitly programmed to do so. Artificial intelligence, on the other hand, encompasses a broader range of technologies and applications that enable machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems. While machine learning is an important component of artificial intelligence, AI also includes other techniques such as natural language processing, computer vision, and robotics.
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.