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- Sampling Techniques in Data Analysis, 5 Essential Lessons from a Junior Data Scientists at Spotify
Sampling Techniques in Data Analysis, 5 Essential Lessons from a Junior Data Scientists at Spotify
NASA's Quantum Project Raises Concerns at the AI-Quantum Crossroads
Welcome to the new format of DataPragmatist. We are trying out new content format based on feedback from you all. Thanks for the feedback. Now the email going to be shorter and condensed for you.
It is Friday and today is about interesting reads about Data Science and AI across the internet from my reading list.
NASA abruptly halted its quantum computer project with Google due to U.S. government concerns about the rapid advancements in quantum computing, raising questions about the risks associated with the intersection of artificial intelligence and quantum technology.
The move surprised the scientific community, with concerns focusing on the potential threat to encryption systems posed by quantum computers. The delicate balance between unlocking new computational realms and safeguarding digital security remains a cosmic challenge.
While it’s not exactly clear what happened, what we know for sure is that NASA’s quantum computer project is currently on hold since the US government stepped in due to concerns about merging AI and quantum computers, reason is the arrival of quantum computers could have a historic impact on society and raised concerns about their dominance over humans.
One major concern is the potential threat to encryption systems. Quantum computers, with their immense computational power, have the capability to break traditional encryption algorithms. This raises alarms about the security of sensitive information, including financial records and classified data.
The author shares their journey of finding a successful money-making idea through Launch Jacking, an affiliate marketing strategy. They explain the concept of Launch Jacking, where affiliates promote new products during their launch, taking advantage of the product owner's promotional efforts.
The plan involves using ChatGPT to write reviews that appear on Google when potential buyers search for them. To achieve this, the author decides to write for high authority websites like LinkedIn, Medium, and others, as articles on these platforms tend to rank well on Google.
The step-by-step guide includes finding products on launch platforms like Munch Eye, joining affiliate programs on Warriorplus and JVZoo, and using ChatGPT to generate article outlines and content. The author emphasizes the importance of incorporating SEO techniques to make the articles Google-friendly.
The quality of data preparation is crucial for data science projects, emphasizing the importance of selecting the right sampling technique. Different methods include :-
Simple Random Sampling (SRS):
Randomly selects samples from the population.
Effective for homogeneous populations but may underrepresent subgroups.
Stratified Sampling:
Divides the population into subgroups (strata) based on characteristics.
Ensures representation from each subgroup.
Cluster Sampling:
Groups the population into clusters and selects entire clusters randomly.
Requires independent clusters to avoid biases.
Systematic Sampling:
Selects every nth item from an ordered list.
Efficient for large populations but sensitive to repeating patterns.
Starting your career as a data scientist requires a shift from a student mindset to effective communication and seeking feedback. The author, having experienced this transition at Spotify, emphasizes the importance of continuous communication and feedback loops. Lessons include:
Lesson 1: Communicate Continuously
Regularly update stakeholders on work progress.
Share insights promptly to identify issues.
Lesson 2: Seek Feedback
Actively ask for feedback on your work.
Schedule regular meetings to refine your project.
Lesson 3: Build Trust
Persuade stakeholders by explaining ideas.
Be proactive, ask questions, and show genuine interest.
Lesson 4: Ask Experts
Utilize past projects and seek guidance.
Asking for help prevents mistakes and aids learning.
Final Lesson: Be Patient
Expertise takes time; avoid unnecessary comparisons.
Embrace the learning process and seek support.
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