Delve into Machine Learning with Julia in this practical guide for Data Scientists. Become proficient in the language, grasp ML concepts from linear regression to Deep Learning via Julia's packages. Conquer real-world AI tasks, transform solutions into products, and enhance efficiency. Elevate your work or research through our engaging and intuitive approach.
Key Features
Master Julia programming for Machine Learning tasks efficiently
Learn how to design, build, and evaluate top-notch machine learning algorithms in Julia
Boost productivity in DS/ML with a consistent set of fundamental tools and packages in Julia for effective solutions
Book DescriptionImmerse yourself in the enthralling world of "Hands-on Machine Learning with Julia," a book that takes you on a journey from learning Julia to deploying real-world AI solutions. This comprehensive guide starts with the basics of Julia, progressing to classical ML concepts like linear regression and decision trees, and culminating in advanced deep learning algorithms.
The intuitive approach ensures you won't need to memorize complex commands, but rather rely on your mathematical intuition for a productive and enjoyable experience. Real-life use cases, including prediction, classification, NLP and recommendation problems, demonstrate AI's problem-solving capabilities, preparing you to tackle diverse challenges faced by data scientists daily.
"Hands-on Machine Learning with Julia" emphasizes the importance of deploying AI solutions for real users, offering invaluable tips on productizing your work effectively and efficiently. Master the Julia language, understand ML algorithms, solve real-world problems, and deploy your AI solutions confidently with this engaging and informative guide.What you will learn
Master Julia for efficient Machine Learning tasks
Design, build and evaluate Machine Learning algorithms
Boost productivity with scalable solutions
Bypass speed and parallelism issues
Utilize key tools and packages effectively
Streamline AI problem-solving approach
Serve AI effectively through API services
Monitor AI performance with online tests
Who this book is forIf you're a novice or an experienced Data Scientist/ML Engineer seeking to enhance your expertise in Data Science/Machine Learning with a practical approach or learn a new language, this book is the perfect resource for you. Additionally, Software Engineers, Data Engineers, and Data Analysts looking to acquire new skills or transition to a different career can also benefit from this book.
Sprache
Verlagsort
Maße
Höhe: 235 mm
Breite: 191 mm
ISBN-13
978-1-80512-400-9 (9781805124009)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Diego Marinho de Oliveira is an AI/ML expert with a decade of experience delivering scalable solutions. With a focus on Julia language, he has spent the last seven years developing cutting-edge AI systems that help users find their dream jobs. He has travelled extensively, delivering innovative AI solutions across Oceania, Asia, and South America markets. Diego is passionate about tackling challenges and creating systems that benefit millions of people. He has led over 150 online experiments, achieving significant improvements in business metrics. Currently, Diego leads globally renowned data scientists in developing recommendation systems, computer vision, and AI applications.
Table of Contents
Introduction to Julia
Collect, Clean, Prepare and Manipulate Data
Natural Language Processing
Exploratory Data Analysis
Model Evaluation
Supervised Learning
Unsupervised Learning
Optimization Problems
Ensemble Methods
ANN Introduction
Convolutional Neural Networks
Recurrent Neural Networks
Autoencoders
Transformers
Classification, Regression, Clustering and Anomaly Detection Problems
Recommender Systems
NLP Problems
Computer Vision Problems
Effective and Scalable ML Pipeline
Build your App: Genie Framework
Online Tests
Optimize your AI
