[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: https://t.co/tEaXKOUbcX —————— #AI #ML #DataScience #DeepLearning #DataScientists

Industrial AI market: 10 insights on how #AI is transforming #Industry40 #DigitalTransformation #ArtificialIntelligence #GenerativeAI #MachineLearning #TechTrends

A Brief History of #ArtificialIntelligence by @Python_Dv #AI #MachineLearning #ML cc: @iainljbrown @gp_pulipaka @yuhelenyu

Your path to becoming an ML Engineer: Start with Math ➡️ Learn Programming (Python/R) ➡️ Master Databases ➡️ Explore ML Libraries ➡️ Dive into ML Algorithms ➡️ Deep Learning ➡️ Data Visualization Tools ➡️ ML Engineer role #MachineLearning #AI #DataScience #DeepLearning #Python

Unlock the power of #AI! Check out the top 7 AI models and 70+ use cases—from drafting research papers to automating business workflows. Which #ArtificialIntelligence tool do you use most? #MachineLearning #GenAI #TechTrends #Productivity #Innovation #GenerativeAI

Thrilled to announce that I’ll be attending the 2025 DSN AI Bootcamp in Lagos! 💡 Grateful to @dsn_ai_network for this opportunity to learn, connect, and build with some of the brightest minds in AI. 🚀 #AI #DataScience #DSNBootcamp2025 #MachineLearning

Python’s power lies in its libraries. From NumPy and Pandas for data analysis, Matplotlib and Plotly for visualization, to TensorFlow, PyTorch, and Scikit-learn for machine learning—these tools turn ideas into real-world solutions. #Python #MachineLearning #DataScience #AI

Data Science in a nutshell It combines: -Data Analysis (Feature Engineering, EDA) -Visualization (Tableau, Power BI, Seaborn) -Math (Linear Algebra, Stats) -Programming (Python, R, Java) -ML & Deployment (AWS, Azure) #DataScience #MachineLearning #Python #AI #BigData #Analytics

Three types of #ArtificialIntelligence by @antgrasso #AI #MachineLearning #ML cc: @valaafshar @terence_mills @mikequindazzi

#AgenticAI Explained in a Nutshell by @Python_Dv #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning cc: @demishassabis @sbourremani @realsaintsteven

#steik2026 #pacil #fasilkom #ntucs #google #amazon #machinelearning

🧠 Beyond Transformers: What Comes After the Attention Era? https://t.co/BLKmp5wBqn #AI #MachineLearning #ArtificialIntelligence #NaturalLanguageProcessing #LLM #FutureOfAI

We’ll walk you through performing sentiment analysis in R, a powerful programming language for statistical computing and data analysis. https://t.co/SFLubqSLZC #DataScience #RStats #DataScientist #statisticalanalysis #machinelearning #datasets #datavisualizations #codinglife

CheatSheet! Python Commands! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://t.co/RMFzsHnyxc

Map of #AgenticAI by @Python_Dv #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning cc: @HaroldSinnott @chr1sa @alvinfoo

#Python for #Geospatial Data Analysis and Location Intelligence: https://t.co/klUrKwnx1y ————— #Analytics #DataScience #Geoscience #GIS #Geoinformatics #AI #ML #MachineLearning #DataScientist #SpatialAnalysis

20 #LLM Concepts Explained by @Python_Dv #GenerativeAI #ArtificialIntelligence #MachineLearning #MI #AI cc: @marcusborba @terenceleungsf @miketamir

Most people think AI = coding. Reality? AI = problem framing. If you can ask better questions, you can build better AI. #ArtificialIntelligence #MachineLearning #AIThinking

The best books to learn Machine Learning 1 - https://t.co/YAEJOXZTS2 2 - https://t.co/lL1rEPJ26j 3 - https://t.co/UfQxlKi915 4 - https://t.co/3aP222a0ud 5 - https://t.co/MFChURBdw0 #MachineLearning #ML #AI #DeepLearning #DataScience #SoftwareEngineering #code #Coding