
Machine Learning Interviews
Kickstart Your Machine Learning and Data Career
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast

Compra ahora por $17.19
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Xifeng Brooks
-
De:
-
Susan Shu Chang
Acerca de esta escucha
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, and data scientist; assess your interests and skills before deciding which ML role(s) to pursue; evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process; acquire the skill set necessary for each machine learning role; ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions; and prepare for interviews in statistics and machine learning theory by studying common interview questions.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2024 Quill Game Studios Inc. o/a Quill Technologies (P)2024 Ascent AudioLas personas que vieron esto también vieron...
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General
-
Narración:
-
Historia
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- De: Chip Huyen
- Narrado por: Kathleen Li
- Duración: 15 h
- Versión completa
-
General
-
Narración:
-
Historia
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.
De: Chip Huyen
-
Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
-
Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
-
Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
-
General
-
Narración:
-
Historia
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
-
-
the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
-
The Kaggle Book
- Data Analysis and Machine Learning for Competitive Data Science
- De: Konrad Banachewicz, Luca Massaron
- Narrado por: Alex Freeman
- Duración: 12 h y 29 m
- Versión completa
-
General
-
Narración:
-
Historia
Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.
-
-
Absolutely disastrous
- De D B B en 05-16-24
De: Konrad Banachewicz, y otros
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
-
General
-
Narración:
-
Historia
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
-
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General
-
Narración:
-
Historia
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- De: Chip Huyen
- Narrado por: Kathleen Li
- Duración: 15 h
- Versión completa
-
General
-
Narración:
-
Historia
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.
De: Chip Huyen
-
Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
-
Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
-
Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
-
General
-
Narración:
-
Historia
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
-
-
the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
-
The Kaggle Book
- Data Analysis and Machine Learning for Competitive Data Science
- De: Konrad Banachewicz, Luca Massaron
- Narrado por: Alex Freeman
- Duración: 12 h y 29 m
- Versión completa
-
General
-
Narración:
-
Historia
Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.
-
-
Absolutely disastrous
- De D B B en 05-16-24
De: Konrad Banachewicz, y otros
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
-
General
-
Narración:
-
Historia
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
-
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
AI at the Edge
- Solving Real-World Problems with Embedded Machine Learning
- De: Daniel Situnayake, Jenny Plunkett
- Narrado por: Suzie Althens
- Duración: 17 h y 17 m
- Versión completa
-
General
-
Narración:
-
Historia
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.
De: Daniel Situnayake, y otros
-
AI Agents in Action
- De: Micheal Lanham
- Narrado por: Christopher Kendrick
- Duración: 7 h y 58 m
- Versión completa
-
General
-
Narración:
-
Historia
Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs. From script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In AI Agents in Action, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks.
De: Micheal Lanham
-
The Developer's Playbook for Large Language Model Security
- Building Secure AI Applications
- De: Steve Wilson
- Narrado por: Jonathan Yen
- Duración: 8 h y 27 m
- Versión completa
-
General
-
Narración:
-
Historia
Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.
De: Steve Wilson
-
Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
- Versión completa
-
General
-
Narración:
-
Historia
In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
-
-
Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
-
Acing the System Design Interview
- De: Zhiyong Tan
- Narrado por: Julie Brierley
- Duración: 16 h y 53 m
- Versión completa
-
General
-
Narración:
-
Historia
The system design interview is one of the hardest challenges you'll face in the software engineering hiring process. This practical book gives you the insights, the skills, and the hands-on practice you need to ace the toughest system design interview questions and land the job and salary you want.
-
-
AI generated
- De Amazons Customer en 07-17-24
De: Zhiyong Tan
-
The Essentials of AI Deep Learning and Neural Networks
- Beginner's Guide to Understanding Machine Learning and Building Advanced AI Skills in Minutes a Day
- De: Jordan Blake
- Narrado por: Susan Prater
- Duración: 4 h y 23 m
- Versión completa
-
General
-
Narración:
-
Historia
Unlock the Secrets of AI Deep Learning and Neural Networks: Empower Your Future in Minutes a Day! Ready to dive into the world of artificial intelligence, but don’t know where to start? Whether you're a student, developer, or curious learner, this book takes you on a journey to master deep learning concepts, demystify neural networks, and transform your skills into real-world impact—all at your own pace.
-
-
Great for beginners to learn AI!
- De AmySP en 04-25-25
De: Jordan Blake
-
Software Engineering at Google
- Lessons Learned from Programming Over Time
- De: Titus Winters, Tom Manshreck, Hyrum Wright
- Narrado por: Mark Sando
- Duración: 23 h y 36 m
- Versión completa
-
General
-
Narración:
-
Historia
How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
-
-
not useful
- De Andreas Andersen en 07-21-21
De: Titus Winters, y otros
-
Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
-
General
-
Narración:
-
Historia
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
-
-
The best data science manual ever written
- De Jordan en 08-29-24
De: Alex J. Gutman, y otros
-
Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
-
General
-
Narración:
-
Historia
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
-
-
Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
-
Build a Large Language Model (From Scratch)
- De: Sebastian Raschka
- Narrado por: Julie Brierley
- Duración: 7 h y 40 m
- Versión completa
-
General
-
Narración:
-
Historia
In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.
-
-
Really hard to follow when everything is see code
- De Senthil Manick en 05-12-25
-
Grokking Machine Learning
- De: Luis Serrano
- Narrado por: Marianne Sheehan
- Duración: 15 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Discover valuable machine learning techniques you can understand and apply using just high school math. 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 Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.
-
-
Bad as an audiobook
- De Amazon Customer en 04-05-24
De: Luis Serrano
-
Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- De: Hobson Lane, Hannes Hapke, Cole Howard
- Narrado por: Mark Thomas
- Duración: 18 h y 29 m
- Versión completa
-
General
-
Narración:
-
Historia
Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
-
-
Don't Waste Your Money on the Audio Version
- De wayne kurtz en 12-11-23
De: Hobson Lane, y otros
Great advice, and read well.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.