Data and machine learning professionals are wrapping up the year by enhancing skills and preparing for career progression. November’s popular reads in Towards Data Science (TDS) included guides on knowledge graphs, hardware benchmarks, job search tips, and Markov models. New insights and projects explored human’s role in ML, AI bias, and personal data tracking. A fresh group of TDS authors offered diverse articles, while TDS encourages supporting writers through a new membership program.
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End-of-Year AI Insights for Middle Managers
As we approach the year’s end, it’s a crucial time for professionals in data and machine learning to acquire new skills and prepare for future career growth. With the holidays on the horizon, here are some key takeaways and resources to help you stay ahead.
Essential Reads from November
Don’t miss out on these popular topics:
- Knowledge Graphs: Transform texts into knowledge graphs with the Mistral 7B model.
- Hardware Benchmarking: See how Apple’s M2 Max GPU stacks up against Nvidia’s offerings.
- Data Analyst Career Path: Find out how to land a job in data analysis within six months.
- Hidden Markov Models: Get hands-on with a practical guide and Python code.
- Python Package for Networks: Visualize network graphs with the open-source package gravis.
- Deep Learning Resources: Enhance your knowledge with a list of seven recommended books.
- Retrieval-Augmented Generation: Discover the theory and practical implementation of RAG with LangChain.
Conversations and Projects to Watch
Stay current with these engaging discussions:
- The role of human labor in advancing machine learning.
- Building a language model from your WhatsApp chats.
- Exploring biases in AI with DALL-E 3’s text-to-image outputs.
- Tips to make your data scientist resume stand out.
- Insights from tracking daily habits for a year.
AI Solutions to Transform Your Business
Ready to integrate AI into your company? Here’s how:
- Identify Automation Opportunities: Pinpoint customer interaction points for AI enhancement.
- Define KPIs: Set clear, measurable goals for your AI initiatives.
- Select an AI Solution: Choose customizable tools that fit your business needs.
- Implement Gradually: Start small with a pilot and scale up based on results.
For further guidance on AI KPI management, contact us at hello@itinai.com. Keep up with AI advancements on our Telegram t.me/itinainews or Twitter @itinaicom.
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