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Data Science News
Medium
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Why deep learning is important?
- Deep learning is important for dealing with unstructured information.
- Deep learning models can handle large amounts of data quickly.
- Deep learning models provide high accuracy in computer vision, natural language processing, and audio processing.
- Deep learning models can automatically detect various patterns without requiring human intervention.
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Medium
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How to Handle Backlogs in Queues?
- Backlogs in queues can significantly impact the latency and performance of asynchronous systems.
- Having a separate queue for each workload can make the system more resilient to backlog situations.
- Systems can avoid processing expired messages in the backlog to quickly parse through it.
- Using a Dead Letter Queue (DLQ) can help manage messages that throw exceptions and prevent excessive processing latency.
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Analyticsindiamag
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What’s the Moat of Neysa in the World of Yotta?
- Indian AI startup Neysa secured $20 million in seed funding and $30 million in Series-A funding led by NTTVC, Z47, and Nexus Venture Partners in April and October, respectively. Its product, Velocis AI, is an entire AI platform-as-a-service (PaaS), which covers everything from data ingestion to inferencing.
- Neysa embraces an open-source approach, allowing seamless integration with tools like Hugging Face, TensorFlow, and MLFlow. The firm also provides multiple deployment options, including bare-metal servers, virtual machines, and managed services catering to diverse client needs.
- Neysa is able to offer an entire cloud stack, whereas Indian providers are able to leverage existing infrastructure to provide just bare-metal services. Neysa is in talks with Fractal about building something in the insurance sector for clients.
- insurance AI Cloud is the recent announcement of Neysa in partnership with Data Science Wizards, offering an end-to-end cloud platform for insurance companies.
- Aegis, its security platform, will focus on emerging threats unique to the AI landscape. Neysa plans to expand it into a standalone product by early 2025.
- In the future, Neysa wants to launch inference-as-a-service by early 2025, further enhancing its AI lifecycle offerings.
- One of Neysa’s clients witnessed an 18% uptake in persistence, which is one of the crucial factors when implementing AI in the insurance sector.
- Neysa plans to push Aegis, its security platform, which focuses on emerging threats unique to the AI landscape. Aegis provides robust protection measures, ensuring secure AI development and deployment.
- Neysa is able to provide fractional GPUs for small use cases and does not want to get into the legacy GPUs like A100 that other players are still providing or provide consumer-grade GPUs like RTX and GTX.
- Neysa's founder's previous computing space expertise and leadership serve as a moat, along with the company's offering of a comprehensive platform Velocis.
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Medium
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55
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Stop Writing Slow Python Code: Easy Tweaks to Boost Performance
- Python scripts can be optimized to boost performance.
- Common mistakes in Python code can lead to slow execution.
- Optimizing code doesn't require advanced computer science knowledge.
- Python's built-in tools are faster and more efficient than custom logic.
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Dev
1w
38
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Bubble Sort Algorithm
- The bubble sort is an algorithm that sorts the array from the lowest to the highest value.
- It has a complexity of O(n²) on average, but it is fast for nearly sorted arrays.
- The algorithm works by looping through the array and swapping adjacent elements that are out of order.
- An optimized version of the algorithm stops if no more swaps are made during a pass.
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Medium
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335
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Tech Mentors: Your Guide to Success
- Mentors can offer invaluable insights and support, guiding individuals in their tech careers.
- Adplist is a platform that aims to democratize access to mentorship for aspiring data professionals.
- Through Adplist, individuals can connect with experienced mentors, gain technical expertise, and receive career advice.
- Mentorship goes beyond technical skills, fostering a supportive environment for growth and confidence-building.
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Medium
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395
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How I Used ChatGPT to Turn Raw Social Media Feedback into Actionable Product Insights — Fast
- Transforming TikTok comments into structured, searchable data using Apify's TikTok Scraper.
- Using Python's TextBlob library for sentiment analysis and categorization of comments.
- Identifying meaningful patterns and themes by clustering keywords based on frequency and sentiment polarity.
- Applying product knowledge to filter out noise and focus on actionable insights for optimization.
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VentureBeat
1w
8
Synthetic data has its limits — why human-sourced data can help prevent AI model collapse
- AI models are struggling to live up to their promised brilliance due to lack of human-generated data.
- Over-reliance on synthetic data leads to a gradual degradation of AI models and a decline in output quality.
- The consequences of degraded AI models include critical errors, stagnation of AI development, and risks to technology and society.
- To ensure the safety and integrity of AI systems, enterprises should prioritize real, human-sourced data and tools that filter out low-quality content.
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Dev
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297
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6 Common Data Structures in Programming
- Data structures are the building blocks of efficient software in programming.
- 1. Array: Fast access via index, fixed-size (in most languages), used for ordered collections.
- 2. Linked List: Dynamic size, inefficient random access, used for frequent insertions/deletions.
- 3. Stack: LIFO structure, useful for backtracking and managing function calls.
- 4. Queue: FIFO structure, used in scheduling and task management.
- 5. Hash Table: Optimized for quick lookups, used for dictionaries and caching.
- 6. Binary Tree: Hierarchical structure, used for organizing data and search algorithms.
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Medium
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218
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“Revolutionizing Construction with Data Science and Analytics”
- Data science and analytics can revolutionize the construction industry by enhancing process control, optimization, and resource management.
- Predictive analytics helps in predicting potential delays and cost overruns, allowing proactive measures to keep projects on schedule and within budget.
- Data science enables better resource optimization, reducing waste, and lowering overall project costs by analyzing usage patterns and allocating resources efficiently.
- Wearable technology, combined with data science, provides real-time monitoring of workers' health and safety, preventing accidents and creating a safer work environment.
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Medium
1w
127
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The Cost of Easy Living
- The convenience of modern living comes at a cost to our health, with lack of physical activity leading to obesity, heart disease, and declining fitness.
- The ease of virtual interactions is eroding human connection, leading to feelings of loneliness, anxiety, and detachment.
- The demand for convenience contributes to climate change, with increased energy consumption and wasteful practices depleting the planet's resources.
- Convenience often comes with a financial price, leading to subscription fees, delivery costs, and excessive spending.
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Medium
1w
311
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Crafting The GenAI Data Science Project That Will Get Me a Job in a FAANG Company — Part 1
- In this blog entry, the author shares a simplified code for a GenAI data science project that aims to help individuals improve their technical skills in a specific programming language and understand how real code is created.
- The project utilizes LangChain documentation to leverage the SQLDatabase and FewShotPromptTemplate utilities.
- The code demonstrates how to interact with a database by having the language model read table names and generate SQL queries to retrieve information.
- The author also explains the usage of Prompt Engineering and Few Shot Prompts to enhance the language model's responses.
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Dev
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276
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2762. Continuous Subarrays
- You are given a 0-indexed integer array nums and you need to find the total number of continuous subarrays.
- A subarray is considered continuous if for each pair of indices i1 and i2 within the subarray, the absolute difference between nums[i1] and nums[i2] is at most 2.
- The sliding window technique can be used to efficiently calculate the number of continuous subarrays.
- The time complexity of the solution is O(n) and the space complexity is also O(n).
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Medium
1w
298
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The Fascinating Story of Planck Wissen
- Planck Wissen is associated with Max Planck, the famous German theoretical physicist.
- Max Planck was born in 1858 and had a talent for mathematics and music.
- He received early training in astronomy, mechanics, and mathematics.
- Planck Wissen is a concept related to the overarching approach of learning and sharing knowledge.
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