BOOKS - PROGRAMMING - Machine Learning for Kids A Project-Based Introduction to Artif...
Machine Learning for Kids A Project-Based Introduction to Artificial Intelligence - Dale Lane 2021 EPUB No Starch Press BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
21280

Telegram
 
Machine Learning for Kids A Project-Based Introduction to Artificial Intelligence
Author: Dale Lane
Year: 2021
Pages: 392
Format: EPUB
File size: 50 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning for Kids A Project-Based Introduction to Artificial Intelligence
Default Loan Prediction Based On Customer Behavior Using Machine Learning And Deep Learning With Python, Second Edition
Practical MATLAB Deep Learning: A Project-Based Approach
Project-Based Learning (English Language Teacher Development)
Model-Based Machine Learning
Model-Based Machine Learning
Model-Based Machine Learning
Machine Learning A Constraint-Based Approach
Low-Code AI: A Practical Project-Driven Introduction to Machine Learning
Pragmatic AI An Introduction to Cloud-Based Machine Learning
ReRAM-based Machine Learning (Computing and Networks)
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
From Project-Based Learning to Artistic Thinking: Lessons Learned from Creating an Unhappy Meal
Machine Learning for Beginners A Complete and Phased Beginner’s Guide to Learning and Understanding Machine Learning and Artificial Intelligence Algoritms
Low-Code AI A Practical Project-Driven Introduction to Machine Learning (Final)
Low-Code AI A Practical Project-Driven Introduction to Machine Learning (Final)
Machine Learning-based Design and Optimization of High-Speed Circuits
Machine Learning-Based Modelling in Atomic Layer Deposition Processes
Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms
Machine Vision Inspection Systems Machine Learning-Based Approaches (Machine Vision Inspection Systems, Volume 2)
Python Machine Learning The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing Theoretical Basics, Applications, and Challenges
Machine Learning-Based Modelling in Atomic Layer Deposition Processes (Emerging Materials and Technologies)
Content-Based Image Classification Efficient Machine Learning Using Robust Feature Extraction Techniques
Design and Deploy Microsoft Defender for IoT Leveraging Cloud-based Analytics and Machine Learning Capabilities
Design and Deploy Microsoft Defender for IoT: Leveraging Cloud-based Analytics and Machine Learning Capabilities
Design and Deploy Microsoft Defender for IoT Leveraging Cloud-based Analytics and Machine Learning Capabilities
Integrated Circuit Design IC Design Flow and Project-Based Learning
Blueprints for Text Analytics Using Python Machine Learning-Based Solutions for Common Real World (NLP) Applications
Project Based Learning Made Simple: 100 Classroom-Ready Activities that Inspire Curiosity, Problem Solving and Self-Guided Discovery (Books for Teachers)
Machine Learning for Business The Ultimate Artificial Intelligence & Machine Learning for Managers, Team Leaders and Entrepreneurs
Machine Learning for Beginners An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning
Building Machine Learning Systems Using Python Practice to Train Predictive Models and Analyze Machine Learning Results
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands
Applied Machine Learning and High-Performance Computing on AWS: Accelerate the development of machine learning applications following architectural best practices
Machine Learning Master Machine Learning Fundamentals for Beginners, Business Leaders and Aspiring Data Scientists
Online Machine Learning: A Practical Guide with Examples in Python (Machine Learning: Foundations, Methodologies, and Applications)
Machine Learning for Data Streams with Practical Examples in MOA (Adaptive Computation and Machine Learning series)