There is a highlight of articles on the less technical aspects of data science work, including change management, data storytelling, preparing for technical presentations, and essential skills for data scientists. There are also additional reads on recommendation systems, pseudo-random numbers, knowledge-graph reasoning, reinforcement learning, hidden Markov models, and continual learning.
Take the Next Step to Expand Your Data Science Skill Set
If you want to evolve your company with AI, stay competitive, and use it to your advantage, it’s time to take the next step in expanding your data science skill set. The skills needed to progress in your data science career are becoming increasingly interdisciplinary, and our experts have valuable insights based on real-world experience.
Your Practical Solutions:
- Navigate the challenges of data science in rapidly changing environments and organizations dealing with shifting business priorities.
- Deliver data insights with higher efficiency and impact by mastering the art of data storytelling.
- Prepare for technical presentations and engage colleagues and stakeholders effectively.
- Develop the must-have technical and non-technical skills required to become a competitive candidate for data science roles in major tech companies.
- Make key career decisions as a junior data scientist and shape your career path according to your priorities.
If you’re looking to expand your skills and knowledge, we also have some excellent reads for you:
- Recommendation systems: Learn about Thompson sampling, a method used in recommendation systems.
- Pseudo-random numbers in machine learning: Understand their role through a well-illustrated primer.
- ULTRA: Discover a foundation model for knowledge-graph reasoning.
- RLHF: Explore reinforcement learning from human feedback and its role in training data and learning paradigm.
- Hidden Markov models: Get a hands-on guide with an intuitive implementation.
- Continual learning in AI: Learn about current approaches and how they keep models up-to-date.
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Take the next step and expand your data science skill set to stay competitive and leverage AI to redefine your way of work. Contact us at hello@itinai.com for AI KPI management advice and connect with us on Telegram (t.me/itinainews) or Twitter (@itinaicom) for continuous insights into leveraging AI.
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