Discover more from DSBoost
8 strategies to manage your time + OpenAI Devday - DSBoost #39
This week, we've distilled eight time management strategies from Jeff Su's insightful video to enhance your productivity. Tailored for your unique needs, these tips are specially curated for those ambitious learners juggling the acquisition of new skills alongside their existing job or academic commitments. Discover how to master the art of balancing your aspirations with your responsibilities seamlessly:
Create a God's Eye View for Learning: Establish a learning dashboard where you track your progress on various skills you're acquiring. This might include your study schedule, resources, progress indicators, and any deadlines for completing certain courses or certifications. This overview helps you see whether you're allocating enough time to your learning goals and allows you to adjust as needed.
Learning Checklists: Craft two succinct checklists; one for daily work/study duties, and another for your ongoing learning and skill enhancement. Begin your day by ticking off learning tasks such as doing some course lessons, reviewing a new research paper or practicing a programming exercise, then move to your work-related tasks. You could also schedule some learning tasks after finishing your responsibilities. This ensures a balanced progression in your current role and your personal development.
Strategic Learning Breaks: Recognize that intensive learning requires mental breaks. Use short breaks in your day for lighter educational tasks, such as listening to a podcast in your field or reviewing flashcards. Reserve longer, uninterrupted time blocks for deep focus sessions where you can engage in more complex study, like working through a challenging coding problem or learning a new language.
Inbox Zero for Learning: If you use email or online platforms to receive learning materials, apply the Inbox Zero method. Archive completed lessons, mark assignments or projects that need more time, and keep your inbox clean so you can quickly find what you need for your next study session.
Atomic 80/20 Rule for Skill Acquisition: Identify the 20% of learning activities that contribute to 80% of your skill advancement. Focus on those activities that yield the most learning. For instance, if practising speaking a new language is more beneficial than passive listening, allocate more time to conversation practice.
Intentional AI Learning Prompts: Use AI tools to enhance your learning. For example, you could create prompts to summarize complex material, generate practice questions, or even explain difficult concepts in simpler terms. Tailor the AI prompts to address your particular learning needs, thereby creating a personalized study assistant.
Recovery Forecast for Learning: Plan recovery time after intense learning sessions, workshops, or exams. This allows your brain to consolidate information and prevents burnout. Just as you would after a night out, schedule downtime after a heavy study day or learning event.
Capture and Organise Learning Tasks: Whenever a new learning opportunity or resource comes to your attention, immediately capture it in a digital tool or app. Later, organize these tasks into your learning schedule, deciding when you'll explore each one and how it fits into your overall learning plan. You can also use a physical media.
By adapting these time management tips to your learning and working schedule, you can create a balanced approach that accommodates continuous personal and professional development alongside your regular duties.
Do you like this content? Would you like to see more like this?
With your feedback, we can improve DSBoost. Click on a link to vote:
Here you can see the original video that served as inspiration for these 8 tips:
Learning new skills is a key ability in your life. That’s why finding good courses is essential. There is a lot of noise on the internet, so we want to make it easy for you. As part of our launch offer, we are providing a 15% discount on Train In Data courses when you use the code DSBOOSTNL at checkout.*
Explore feature engineering and feature selection methods
Discover tactics for optimizing hyperparameters and addressing imbalanced data
Master fundamental machine learning methods and their Python application
Enroll today and take the next step in mastering the world of data science!
*Sponsored: by purchasing any of their courses you would also be supporting DSBoost.
OpenAI held its first developer event on Monday.
Here are the 5 most important announcements:
GPT-4 Turbo: An improved version of the GPT-4 model was introduced, with a larger context window and the ability to understand both text and images.
Custom GPT Creation: Users can now build their own versions of GPT for various use cases without needing to code, and developers can connect these GPTs to external databases or knowledge bases.
GPT Store: There are plans to launch a store where users can publish their GPT creations, which will initially feature creations from verified builders.
Assistants API: This new API allows developers to build their own agent-like experiences that can retrieve outside knowledge or perform specific actions through programming functions.
DALL-E 3 API: The text-to-image model is now available through an API, which includes built-in moderation tools and allows for various output formats.