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Apple Event: New iPad Pro models boast huge M4 chip

Dataconomy

iPad Pro (2024) specs The new iPad Pro 2024 M4 models offer capabilities that bring them closer to professional-grade computers than conventional tablets. The device’s rear camera features a 12-megapixel sensor with an f/1.8 Additionally, a LiDAR scanner complements this setup, enabling 3D mapping with supported applications.

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Best Laptops for Deep Learning, Machine Learning (ML), and Data Science for 2023

Towards AI

Specs: Processor: AMD Ryzen 5 5600H (Hexa-core, 12 Threads, base clock speed 3.3 Specs: Processor: AMD Ryzen 7 8-core Processor AMD R7–6800H 16 MB Cache, Base Clock 3.2Ghz, Max Boost Clock 4.7Ghz, Memory: 32GB DDR5 Memory Hard Drives: 1TB SSD GPU: NVIDIA GeForce RTX 3050 Ti 4 GB. Specs: Processor: AMD Ryzen 5 5600H 3.30

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Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning Blog

infer_model_id = "tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2" infer_model_version= "*" endpoint_name = name_from_base(f"jumpstart-example-{infer_model_id}") # Retrieve the inference docker container uri. infer-tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2.tar.gz Run the train_model.py sourcedir.tar.gz Instances[*].

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iPad Pro 2024 vs iPad Pro 2022: Compare before you buy it

Dataconomy

iPad Pro 2024 vs iPad Pro 2022 To help you decide which tablet makes the most sense for you, we’ve compared the raw specs of both and highlighted the main differences so you can make an informed decision. Both models include 12-megapixel f/1.8

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Announcing The Winners of Machine Learning for Transportation Risk Mitigation Data Challenge

Ocean Protocol

There were 12 total submissions to this challenge, less than previous challenges which reach between 20–40 submissions. Specs on the challenge itself can be found here. From this report, we can assume the best conditions and humidity levels for shipping perishable goods.

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6 Characteristics of Companies That are Successfully Building AI

ODSC - Open Data Science

I spent the last 12 months attending over 14 AI and technology conferences, featuring wickedly smart AI leaders who are working to solve a range of challenges. With considerations that include user experience, business impact, technical design, and risk management, it’s easy to get lost in the many priorities of building AI.

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Training Gradient Boosting Models With Comet ML

Heartbeat

For someone familiar with Optuna, only the third step will be different and that’s where we will begin: import optuna from xgboost import XGBClassifier from optuna.integration import XGBoostPruningCallback def objective(trial): #Hyperparameters with ranges from minimum value to maximum value parameter_grid = { "n_estimators": trial.suggest_categorical("n_estimators", (..)

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