- 您的位置：主页
Hot Books
- 1 Time Series Forecasting in Python
- 2 Introduction to Time Series and Forecasting
- 3 Practical Time Series Analysis: Prediction with Statistics and Machine Learning
- 4 Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
- 5 Deep Learning with Python
- 6 Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with scikit-learn and PyTorch
- 7 Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning
- 8 Network Science with Python: Explore the networks around us using Network Science, Social Network Analysis and Machine Learning
- 9 Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
- 10 Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
- 11 Machine Learning with Python for Everyone
- 12 Hacking Modern Teaching: 10 Ways To Build Student Engagement, Maximize Success, and Inspire Authentic Learning (Hack Learning Series)
- 13 Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Learning and Applying Machine Learning and Predictive Analytics
- 14 Deep Learning With Pytorch
- 15 Deep Learning with PyTorch
- 16 Deep Learning from Scratch: Building with Python from First Principles
- 17 Forecasting: Principles and Practice
- 18 Advanced Analytics with Pyspark: Patterns for Learning from Data at Scale Using Python and Spark
- 19 Pattern Recognition and Machine Learning
- 20 Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using Tensorflow
- 21 My Little Pony The Movie Learning Series
- 22 Deep Learning with R, Second Edition
- 23 Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
- 24 Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python
- 25 Deep Learning
- 26 Tilly and the Time Machine
- 27 Machine Learning Design Interview: Machine Learning System Design Interview
- 28 Learning Tensorflow.Js: Machine Learning in JavaScript
- 29 Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale
- 30 Deep Learning for Complete Beginners: A Python-Based Introduction
- 31 Deep Reinforcement Learning in Python: A Hands-On Introduction
- 32 Mastering TypeScript: Build enterprise-ready, modular web applications using TypeScript 4 and modern frameworks, 4th Edition
- 33 Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk
- 34 Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
- 35 Machine Learning, Revised and Updated Edition
- 36 Learning Modern Linux: A Handbook for the Cloud Native Practitioner
- 37 Mathematics for Machine Learning
- 38 Real-World Machine Learning
- 39 Machine Learning for Dummies
- 40 Designing Machine Learning Systems
- 41 Machine Learning Engineering
- 42 Deep Learning Design Patterns
- 43 Deep Learning on Graphs
- 44 Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
- 45 Deep Learning with fastai Cookbook: Leverage the easy-to-use fastai framework to unlock the power of deep learning
- 46 The Time Machine and Other Works
- 47 Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence)
- 48 Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow
- 49 Hacking Student Learning Habits: 9 Ways to Foster Resilient Learners and Assess the Process Not the Outcome (Hack Learning Series)
- 50 Python for Data Science: A Crash Course For Data Science and Analysis, Python Machine Learning and Big Data
- 51 The Time Machine
- 52 Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
- 53 Who is the author of “Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning”
- 54 Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning summary
- 55 Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning reviews
- 56 Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning similar books
New Books
- 1 Paco Alcázar La industria de los sueños 3. ¡Secuela maestra!
- 2 Volker Schmitt Paf!
- 3 Seth Rogen Yearbook
- 4 Pedro García Cuartango España mágica: Un viaje por los grandes secretos arqueológicos y monumentales de nuestro país
- 5 José Zoilo La frontera de piedra
- 6 Julie Klassen Un hotel junto al mar
- 7 Florencio Madrid Agüera Simulacro de examen Nº2 para el ingreso libre en el Cuerpo General Auxiliar de la Administración del Estado: Cuestionario basado en el proceso regulado ... Estado - Ingreso libre)
- 8 Zuhairino Editorial Cómo (no) escribí nuestra historia cuaderno forrado: 110 páginas blancas rayadas - Tamaño 6 x 9
- 9 Mel Escribano OPOSTIME. TEMARIO COMÚN DE OPOSICIONES. FORMATO RESUMIDO - ESQUEMATIZADO PARA FACILITAR SU MEMORIZACIÓN: Derecho Constitucional, Administrativo, ... LOPD y Ley de Transparencia
- 10 Lucía G. Sobrado Reino feroz
- 11 Franz Kafka La metamorfosis
- 12 J.R.R. Tolkien Cuentos inconclusos Ilustrada
- 13 Anaya Touring Mapa de carreteras España Norte 1:340.000 -
- 14 Carles Cartañá Mantilla Catalunya: 50 castells medievals
- 15 Ginés Cutillas Valencia. Geografía de una ciudad
- 16 PlanetaWeb3 AI ChatGPT y GPT4 aplicaciones y prompts para INVERSIÓN y TRADING: 100 utilidades de la IA de OpenAI aplicadas al ámbito de la negociación de activos
- 17 Timothy Grant Cardone Vendes o vendes
- 18 El Desván de J INFERENCIAS: PACK 120 Inferencias semánticas, lógicas, visuales, pragmáticas...: Refuerzo en la COMPRENSIÓN de textos y COMPRESIÓN sintáctica.
- 19 ANTONIO MORENO MARTINEZ Análisis jurisprudencial de las causas directas e indirectas de los accidentes de trabajo
- 20 Lefebvre-El Derecho Guía Rápida Aspectos clave de la nueva regulación de las startups o empresas emergentes
- 21 Pilar Codony Dominaràs la terra
- 22 Departamento de documentación Iberley Compraventa inmobiliaria: Todas las claves para adquirir viviendas y otros inmuebles
- 23 Mónica Hernández Herrero Medicina defensiva y judicialización: Radiografía del litigio en la sanidad pública
- 24 Stephen M. Bainbridge The Profit Motive: Defending Shareholder Value Maximization
- 25 Curro Cañete El amor comienza en ti: El método más poderoso para aumentar tu autoestima y tu felicidad (No Ficción)
- 26 Alba Cardalda Cómo mandar a la mierda de forma educada
- 27 Pere Vilaró La cara oculta de USA 94: Los secretos mejor guardados de los protagonistas del Mundial de Estados Unidos
- 28 Luis Martín Gómez Quan vàrem ser eterns
- 29 Josep Maria Torras Homet Relats muntanyencs de joventut
- 30 Miranda Bouzo La llave de Escocia. Guardianas de Escocia 4
- 31 Yasmina Soto Edith Dubois
- 32 D.D. Gianni Siempre fuiste tú
- 33 Aka Akasaka Oshi no Ko 07
- 34 Aka Akasaka Oshi no Ko 06
- 35 Steffany Kennels La coronación de una reina (Mamba negra nº 3)
- 36 Jesús María Silva Castignani Virginidad 2.0: Recuperar la inocencia
- 37 Cristina Fornós La terra del silenci trencat
- 38 David R. Hawkins LA EXPLICACIÓN DEL MAPA DE LA CONCIENCIA: Una escala energética demostrada para desarrollar tu máximo potencial
- 39 Richard Freeman Cuando el amor se revela: Sabiduría de la Bhagavad Gita para iluminar la vida moderna
- 40 Jennifer Saint Atalanta
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
- Downloads：5202
- Type：Epub+TxT+PDF+Mobi
- Create Date：2022-12-27 16:16:28
- Update Date：2025-09-23
- Status：finish
- Author：Manu Joseph
- ISBN：1803246804
- Environment：PC/Android/iPhone/iPad/Kindle
- Download