#Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries => Get it at http://
amzn.to/3WrBmZf [700+ page book from @NoStarch Press]
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#Coding #BigData #DataScience #DataScientists #ComputationalScience #MachineLearning #AI
@kirkdborne
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Python Tools for Scientists: Anaconda, JupyterLab, Scientific Libraries Guide
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Four Essential Books for Data Science and AI Professionals
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4 essential books for #DataScience #AI #DataScientists
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• Designing #ML Systems: https://
amzn.to/3V1IOex • #DeepLearning with #Python: https://
amzn.to/3H8xkAe • Transformers for #NLProc: https://
amzn.to/3LriRC2 • #MachineLearning with PyTorch… https://
amzn.to/41YhksJ -
Python and SQL: Complete Coding Course from Beginner to Advanced
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#Python Programming and #SQL: 5 books in 1 – The #1 Coding Course from Beginner to Advanced: http://
amzn.to/40dHgjC
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#DataScience #DataScientists #Coding #100DaysOfCode #MachineLearning #BigData #Databases #DataAnalytics #Analytics -
Tiny Python Projects: 21 Small Fun Projects for Beginners
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Tiny #Python Projects — 21 small fun projects for Python beginners designed to build programming skill, teach new algorithms and techniques: http://
amzn.to/3R6Xaqq
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#Coding #BigData #DataScience #AI #MachineLearning #DataScientists #100DaysOfCode -
AI Python Cookbook: Deep Learning with TensorFlow and PyTorch
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Artificial Intelligence with #Python Cookbook — recipes for applying #AI algorithms and #DeepLearning techniques using #TensorFlow 2.x and #PyTorch 1.6: http://
amzn.to/3810a4x by @benji1a ————
#BigData #DataScience #MachineLearning #Coding #DataScientists #ReinforcementLearning -
Python for Geospatial Data Analysis Book Recommendation
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"#Python for #Geospatial Data Analysis" by @datamongerbonny See the book here: http://
amzn.to/3DNT2bC
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#BigData #DataScience #DataScientists #Geoscience #LocationIntelligence #GIS #LocationAnalytics #Coding #Geoinformatics #MachineLearning -
Essential Components for Building Machine Learning Systems
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Building #MachineLearning systems is hard. Some of the components you need: 1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API @AbacusAI can help you with all this and #MLOps -
SAP and Google Expand Partnership for Data and AI Integration
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RT @prabhu_ram @SAP #SAPSapphire https://
erp.today/sap-and-google
-expand-partnership-to-build-open-data-and-ai/
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“Bringing together SAP systems and data with Google’s data cloud introduces entirely new opportunities for enterprises to derive more value from their full data footprints,” said Christian Klein, CEO at SAP. “SAP and -
Enterprise Strategy Group White Paper on Analytics Maturity Advancement
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Download this Enterprise Strategy Group White Paper from @PureStorage — "The Impact of Advancing Your #Analytics Maturity": https://
purefla.sh/3Nmnizi
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#PureStorage #StorageMatters #BigData #DataManagement #ML #AI #MachineLeanring #DataScience #CDO #AIStrategy #DataStrategy -
Mindbreeze Insights Discovery Engine Solves Legal Cases for Government
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The @Mindbreeze #InsightsDiscovery Engine helps solve Legal Cases for Government through cross-Enterprise #eDiscovery and Data Integration: https://
inspire.mindbreeze.com/case-studies/h
ow-mindbreeze-solves-legal-cases-for-government-institutions?ls=22
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#KnowledgeManagement #AI #ML #Semantic #BigData #DataScience #LinkedData #KnowledgeGraph #Automation #LegalTech