Prof. Gustavo Baptista

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Prof. Gustavo Baptista

Prof. Gustavo Baptista

@gmbaptista

🌎 Geógrafo, PhD, youtuber e podcaster. 🛰 Há mais de 30 anos formando profissionais que atuam nO Fascinante Mundo do Sensoriamento Remoto! 📡

Brasília, Brasil Katılım Haziran 2009
393 Takip Edilen485 Takipçiler
Prof. Gustavo Baptista retweetledi
UN Biodiversity
UN Biodiversity@UNBiodiversity·
🌿 Mangroves are the unsung heroes of our coasts! This infographic beautifully illustrates how these coastal wonders provide us with essential ecosystem services. Let's protect and preserve these vital ecosystems! 🌏💚 Via SOA & Global Mangrove Alliance
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Mashford Mahute
Mashford Mahute@MashfordMahute·
18 FREE RASTER DATA SOURCES 🧵
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Mashford Mahute
Mashford Mahute@MashfordMahute·
Forests are essential to biodiversity, climate stability & human well-being, making their #sustainable management a global priority. #GIS provides powerful tools that enable forest managers, researchers & policymakers to understand & address the unique challenges of #forestry.
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GEDI
GEDI@GEDI_Knights·
Environmental drivers of spatial variation in tropical forest canopy height: Insights from NASA’s GEDI spaceborne LiDAR ✨🌳🛰️ pnas.org/doi/10.1073/pn…
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Mashford Mahute
Mashford Mahute@MashfordMahute·
#UrbanPlanning is a complex process that requires balancing growth, #sustainability, & quality of life. This #infographic highlights 13 pressing urban planning problems and the #GIS techniques used to solve them, demonstrating the indispensable role of #geospatial technology.
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Python Programming
Python Programming@PythonPr·
3 Types of Machine Learning
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Python Developer
Python Developer@PythonDvz·
𝗧𝗼𝗽 𝟴 𝗣𝘆𝘁𝗵𝗼𝗻 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 📊 Are you stepping into the world of Data Science or looking to level up your skills? Mastering the right libraries can make all the difference! Here are the top 8 Python libraries that every data professional should know: 1️⃣ 𝐍𝐮𝐦𝐏𝐲 Key Features: • Mathematical functions, including linear algebra and Fourier transforms • Tools for working with polynomials, random numbers, and statistical distributions • Advanced indexing and selection capabilities • Broadcasting for arithmetic and logical operations on arrays • Interfacing with C and Fortran code 2️⃣ 𝐏𝐚𝐧𝐝𝐚𝐬 Key Features: • Data manipulation and analysis • Handling labeled and time series data • Tools for working with structured data • Advanced indexing capabilities • Seamless integration with other libraries 3️⃣ 𝐌𝐚𝐭𝐩𝐥𝐨𝐭𝐥𝐢𝐛 Key Features: • Static, animated, and interactive visualization • Plot types like scatter, line, bar charts, histograms • Customization options for visualizations • Object-oriented interface for creating plots 4️⃣ 𝐒𝐜𝐢𝐤𝐢𝐭-𝐋𝐞𝐚𝐫𝐧 Key Features: • Classification, regression, and clustering algorithms • Dimensionality reduction and feature selection • Model selection and cross-validation • User-friendly API 5️⃣ 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 Key Features: • High-level API for deep neural networks • GPU support for distributed computing • TensorBoard for visualization • Pre-built architectures for image and speech recognition • Reinforcement learning and generative models 6️⃣ 𝐊𝐞𝐫𝐚𝐬 Key Features: • User-friendly API for neural networks • Support for convolutional and recurrent networks • Rapid prototyping and customizable loss functions • Transfer learning and pre-trained models 7️⃣ 𝐒𝐜𝐢𝐏𝐲 Key Features: • Scientific computing tools (optimization, linear algebra, image processing) • Special functions and signal processing • Statistical testing and hypothesis tools • Integration with NumPy and Pandas 8️⃣ 𝐏𝐲𝐓𝐨𝐫𝐜𝐡 Key Features: • Dynamic computation graphs • Built-in support for CUDA and GPUs • Pre-built architectures for vision and NLP • Research and production use • Open-source machine learning library 💡 Learning and mastering these libraries can boost your Data Science career and help you work more efficiently with data, models, and visualizations. 👉 Which library is your favorite, and why? Drop your thoughts in the comments! 👇 #𝐍𝐮𝐦𝐏𝐲 #𝐏𝐚𝐧𝐝𝐚𝐬 #𝐌𝐚𝐭𝐩𝐥𝐨𝐭𝐥𝐢𝐛 #𝐒𝐜𝐢𝐤𝐢𝐭𝐋𝐞𝐚𝐫𝐧 #𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 #𝐊𝐞𝐫𝐚𝐬 #𝐒𝐜𝐢𝐏𝐲 #𝐏𝐲𝐓𝐨𝐫𝐜𝐡 #python #datascience #machinelearning #deeplearning #ai #artificialintelligence #programming #developer #softwaredeveloper #computerscience #calculus #linearalgebra #algebra #maths #mathematics
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Swapna Kumar Panda
Swapna Kumar Panda@swapnakpanda·
10 FREE Books from Cambridge University - Machine Learning - Deep Learning - Mathematics All beginner friendly books:
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Prof. Gustavo Baptista
Prof. Gustavo Baptista@gmbaptista·
Extremamente importante essa contribuição para o estudo de series temporais.
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Copernicus EMS
Copernicus EMS@CopernicusEMS·
#EMSR746 As the #wildfire north of #Athens 🇬🇷 continues to rage, the 🇪🇺 is working together to respond Our #MappingTeam has delivered its Delineation Product, which, as of 12 August, has detected: 🔸+8,500 hectares of burnt area 🔸23 km of fire fronts 🔸168 active flames
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UN Biodiversity
UN Biodiversity@UNBiodiversity·
#Soil is the foundation of life. 🌍 It regulates climate🌦️, enables plant growth🌱, filters water💧, harbors immense biodiversity🐛. and more... Soil's ability to cycle nutrients and store water is crucial for healthy #ecosystems. Learn more👇 via @the_Soil_Life
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