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Data Science News
Medium
1w
392
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Data Types Are So Important it is Scary
- Correct data types are crucial to avoid errors and mishaps, especially in financial contexts where a small mistake can lead to significant consequences.
- Understanding how data types work in different programming languages or software is essential to prevent issues such as million-dollar rounding errors.
- Ensuring that strings are appropriately handled as strings and numbers as numbers is vital to maintain data integrity and accuracy in computations.
- Knowing the behaviors of data types in Excel, programming languages, or other software can save time and help maximize the potential use of the data.
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23 Likes
Medium
1w
172
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The SQL Query That Queries Itself
- A fictional tale of handling complex SQL querying tasks with multiple hospital data.
- From merging data of different formats to ensuring compliance, a data analyst's journey unfolds.
- The story emphasizes the importance of pattern recognition, encryption, permissions, and efficient querying techniques.
- Lessons learned include leveraging information_schema, error handling, performance optimization tips, and smart database practices.
- The article concludes with insights, starter plans, troubleshooting advice, and a call for shared experiences.
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10 Likes
Medium
1w
54
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How I Turned $200 into $1,130 in 2 Days Without Crypto or Scams
- A person shares their experience of turning $200 into $1,130 in 2 days without involving crypto or scams.
- They were initially wary of 'flipping money' due to prevalent fraud, pyramid schemes, and crypto traps online.
- They found a simple system that allows individuals to flip small amounts like $20, $50, or $100 and receive returns within 24-48 hours.
- The system, called FlipTrust™, claims to be transparent, beginner-friendly, and provides fast payouts for those interested in a legitimate side hustle.
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3 Likes
Medium
1w
324
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Week 6: Exploratory Data Analysis (EDA) and Feature Engineering with Google Play Store Dataset
- Week 6 of the data science journey focuses on Exploratory Data Analysis (EDA) and Feature Engineering using the Google Play Store dataset.
- EDA involves analyzing and visualizing data to uncover patterns and relationships before modeling, while Feature Engineering improves model performance by creating or transforming features.
- The Google Play Store dataset includes app details like ratings, reviews, size, installs, and categories. Data cleaning and feature creation are key steps in preparing the dataset.
- Insights from the analysis include identifying the most popular app category by installs, performing univariate analysis on numerical and categorical features, and answering specific questions based on the clean data.
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19 Likes
VentureBeat
1w
139
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Between utopia and collapse: Navigating AI’s murky middle future
- Sam Altman envisions a future with AI quietly shaping human life positively.
- William Gibson paints a darker picture of societal breakdown before technological advancements.
- AI may help prevent calamities, but the route to progress may be uncertain.
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8 Likes
Medium
1w
105
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Optimizing Customer Value and Fulfillment Strategy with Azure ML
- In online retail, businesses often emphasize Customer Lifetime Value (CLV) but may overlook fulfillment costs, leading to profit erosion.
- A machine learning pipeline was developed to optimize CLV and fulfillment strategy using the UCI Online Retail Dataset and Azure ML.
- The pipeline involved cost estimation, fulfillment cost simulation, feature engineering, training a Random Forest Regressor for CLV prediction, and visualizations.
- An interactive dashboard in Azure ML was created to visualize customer lifetime value accumulation, purchase frequency bins, and country rankings based on CLV.
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6 Likes
Medium
1w
185
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The Hunt for Twin Primes
- Prime numbers are fundamental in mathematics and number theory.
- A prime number is a natural number divisible only by 1 and itself, excluding negatives and fractions.
- Prime numbers play a crucial role in various mathematical theories and applications.
- Even though 1 meets the definition, it is often excluded as a prime number due to mathematical theorems.
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11 Likes
Dev
1w
54
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💡 TIME COMPLEXITY PRIMER – Understand Big O Like a Kid With Candies 🍬
- Understand time complexity like counting steps as input grows larger, analogized with candies.
- Learn about Big O Notation with candy boxes, from constant to logarithmic complexities.
- Exercises and analogies help grasp concepts like searching, sorting, and input size impact.
- Handy cheat sheet included for common operations and their corresponding time complexities.
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3 Likes
Hackernoon
1w
236
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These Algorithms Were Meant to Improve the Human Condition: They Failed
- Algorithms and data can fail governments when not relevant to real conditions.
- Complex systems like forests and firefighting need local knowledge for effective management.
- High-tech algorithms can overlook important factors and cause detrimental effects in public services.
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14 Likes
Medium
1w
274
Vision Transformers Outperform CNNs in Image Classification
- Vision Transformers (ViTs) outperform Convolutional Neural Networks (CNNs) in image classification due to factors like scalability and the ability to learn richer and more complex features with large datasets.
- ViTs require more data or regularization to train effectively initially but demonstrate superior performance when pre-trained on massive image corpora compared to CNNs, achieving better efficiency at scale.
- ViTs have been successful in various computer vision tasks beyond simple classification, such as object detection and image segmentation, where they have reached state-of-the-art results by capturing global context and long-range dependencies.
- ViTs excel in fine-grained vision problems by focusing on subtle image details, making them valuable for tasks like fine-grained classification, biodiversity image recognition, and attribute classification, establishing themselves as a powerful approach in computer vision.
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16 Likes
Medium
1w
95
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The AI Renaissance: How Artificial Intelligence Will Reshape Every Sector in the Future
- AI is set to reshape key sectors including healthcare, education, finance, manufacturing, agriculture, and transportation.
- The relationship between humans and AI will evolve towards a symbiotic partnership, necessitating new skills and education initiatives.
- AI's impact will lead to increased efficiency, innovation, and a more sustainable future across all sectors.
- The future will be defined by the intelligent integration of AI, driving prosperity and transformation.
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3 Likes
Analyticsindiamag
1w
355
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When AGI Becomes Real, Microsoft May Lose Its $13 Billion Bet
- Tensions between OpenAI and Microsoft are on the rise over AGI agreement.
- OpenAI's potential achievement of AGI threatens Microsoft's access to advanced technologies.
- Microsoft has invested $13 billion in OpenAI since 2019, amid ongoing disputes.
- OpenAI's restructuring and potential investment from SoftBank further complicate the situation.
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21 Likes
Analyticsindiamag
1w
118
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Neuralink Is Building Moore’s Law for the Mind
- Neuralink demonstrates brain-computer interface enabling game control through thoughts at a recent event.
- Participants with spinal cord injuries and ALS showcased playing video games like Mario Kart.
- Neuralink's vision expands to controlling robotic arms, learning languages, and improving daily activities.
- Long-term goals include enhanced vision, restoring mobility, and addressing neurological disorders via BCI.
- Neuralink aims to revolutionize human-computer interactions following a 'Moore's Law of Neurons' trajectory.
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7 Likes
Dev
1w
359
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1498. Number of Subsequences That Satisfy the Given Sum Condition
- Count non-empty subsequences with min and max element sum less than target.
- Utilize sorting and two-pointer technique for efficiently finding valid subsequences.
- Algorithm efficiently handles large inputs by leveraging sorting and precomputation techniques.
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21 Likes
Medium
1w
278
Image Credit: Medium
How I Generated $2,000 Selling AI Prompts Weekly
- The author shares their success story of earning $2,000 by selling AI-generated prompts through PromptBuddy.
- PromptBuddy, an AI-driven tool with features like preloaded prompts and easy setup, facilitated the author's selling process.
- Personal branding and unique themes enhanced the author's prompt offerings, leading to positive testimonials and increased sales.
- The author recommends PromptBuddy for those interested in creating and selling prompts as a way to generate income and leverage technology effectively.
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16 Likes
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