Machine Learning Interview Essentials A–Z Vol. 1: A Silicon Valley Insider's Guide - Tapa blanda
Libro 4 de 4: Interview Essentials A?Z
Sinopsis
The AI age is now fully in swing with the largest companies in the world all building AI hardware, developing AI software, or shipping AI-powered products. Of the current top ten companies by market capitalization, almost all are core components of the AI ecosystem. While large language models like ChatGPT and Claude are the current stars of the AI world, these products are all built atop a solid foundation of machine learning. Basic machine learning skills are thus crucial in the current technology workplace and will only become more essential in the future.
Who is this book for?
This book is written for engineers, machine learning scientists, data scientists, and technologists working with machine learning or trying to break into the field. It is focused on the foundational ML concepts that one must be familiar with in order to demonstrate technical proficiency and to be able to converse effectively with an interviewer.
Table of Contents (in alphabetical order)
A ⇒ Adam
B ⇒ Backpropagation
C ⇒ ConvNets
D ⇒ Decision Trees
E ⇒ Ensembling
F ⇒ Feature Scaling
G ⇒ Gradient Descent
H ⇒ Huber Loss
I ⇒ Information Retrieval
J ⇒ JAX
K ⇒ k-Means
L ⇒ Logistic Regression
M ⇒ Multinomial LR
N ⇒ Naive Bayes
O ⇒ Online Learning
P ⇒ Perceptron
Q ⇒ Q-Learning
R ⇒ Random Forests
S ⇒ SVM
T ⇒ t-SNE
U ⇒ Underfitting
V ⇒ Validation Set
W ⇒ Weight Initialization
X ⇒ XGBoost
Y ⇒ YOLO
Z ⇒ Zero-Shot Learning
"Sinopsis" puede pertenecer a otra edición de este libro.
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Machine Learning Interview Essentials A-Z Vol. 1 (Paperback)
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Paperback. Condición: new. Paperback. The AI age is now fully in swing with the largest companies in the world all building AI hardware, developing AI software, or shipping AI-powered products. Of the current top ten companies by market capitalization, almost all are core components of the AI ecosystem. While large language models like ChatGPT and Claude are the current stars of the AI world, these products are all built atop a solid foundation of machine learning. Basic machine learning skills are thus crucial in the current technology workplace and will only become more essential in the future.Who is this book for?This book is written for engineers, machine learning scientists, data scientists, and technologists working with machine learning or trying to break into the field. It is focused on the foundational ML concepts that one must be familiar with in order to demonstrate technical proficiency and to be able to converse effectively with an interviewer.Table of Contents (in alphabetical order)A AdamB BackpropagationC ConvNetsD Decision TreesE EnsemblingF Feature ScalingG Gradient DescentH Huber LossI Information RetrievalJ JAXK k-MeansL Logistic RegressionM Multinomial LRN Naive BayesO Online LearningP PerceptronQ Q-LearningR Random ForestsS SVMT t-SNEU UnderfittingV Validation SetW Weight InitializationX XGBoostY YOLOZ Zero-Shot Learning This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798283026442
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Paperback. Condición: new. Paperback. The AI age is now fully in swing with the largest companies in the world all building AI hardware, developing AI software, or shipping AI-powered products. Of the current top ten companies by market capitalization, almost all are core components of the AI ecosystem. While large language models like ChatGPT and Claude are the current stars of the AI world, these products are all built atop a solid foundation of machine learning. Basic machine learning skills are thus crucial in the current technology workplace and will only become more essential in the future.Who is this book for?This book is written for engineers, machine learning scientists, data scientists, and technologists working with machine learning or trying to break into the field. It is focused on the foundational ML concepts that one must be familiar with in order to demonstrate technical proficiency and to be able to converse effectively with an interviewer.Table of Contents (in alphabetical order)A AdamB BackpropagationC ConvNetsD Decision TreesE EnsemblingF Feature ScalingG Gradient DescentH Huber LossI Information RetrievalJ JAXK k-MeansL Logistic RegressionM Multinomial LRN Naive BayesO Online LearningP PerceptronQ Q-LearningR Random ForestsS SVMT t-SNEU UnderfittingV Validation SetW Weight InitializationX XGBoostY YOLOZ Zero-Shot Learning This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798283026442
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