A naukri.com initiative
Data Science News
Medium
1M
284
Image Credit: Medium
The Timeless Appeal of Watches.
- Watches have a timeless appeal and are an expensive secondary for many worldwide.
- The history of watches dates back to the 16th century when portable timepieces started to gain popularity.
- Technological progress led to improvements in watchmaking, with increased accuracy and innovations like stability springs.
- The 20th century introduced quartz movement, providing highly accurate and affordable alternatives to mechanical watches.
Read Full Article
17 Likes
Medium
1M
189
Image Credit: Medium
Patient Confidentiality Vs AI Adoption in Britain’s Health Service
- The adoption of new technology in Britain's National Health Service (NHS) is causing a divide among NHS Trusts.
- While some Trusts welcome technological innovations, others are slow to adopt and reluctant to share patient data for fear of breaching data protection laws.
- This hesitation has led to difficulties in recruiting necessary technology experts in the NHS.
Read Full Article
11 Likes
Medium
1M
234
Image Credit: Medium
9 Pandas Commands to Boost Your Data Preprocessing Skills
- Pandas library in Python is crucial for data preprocessing tasks.
- Commands like read_csv(), head(), and tail() aid in loading and previewing data.
- The info() function offers a summary of the DataFrame structure and missing values.
- describe() provides statistical insights into numerical data for quick analysis.
- isnull() helps identify missing values, while dropna() removes them.
- fillna() is useful for filling missing values with specified data.
- Filtering data based on conditions is simplified with Pandas commands.
- apply() function allows applying custom functions to columns or rows efficiently.
- These 9 commands are essential for data preprocessing, improving efficiency in cleaning and transforming data.
- They save time and effort in preparing data for analysis or modeling purposes.
Read Full Article
14 Likes
Medium
1M
284
Image Credit: Medium
Intro — Probability in Python: The Best Choice Problem (37% Rule)
- The 'Best Choice Problem' or 'Secretary Problem' involves selecting the largest number from a sequence of 100 unique balls, requiring a strategy to maximize the chances of choosing the largest number in the sequence.
- The 37% rule recommends passing on the first 37% of numbers and then selecting the first number larger than any seen during the learning phase, aiming to achieve a balance between information gathering and decision-making.
- Simulation results demonstrate a 37.83% success rate using the 37% threshold, with further testing supporting this as the optimal strategy for the game show scenario.
- The game format helps clarify decision-making strategies, showcasing the trade-off between passing too early and risking missing the largest number.
- Despite the optimal success rate in the hypothetical scenario, real-world implications suggest the 37% rule may not be ideal due to its 63% failure rate in practical contexts.
- Understanding the context and constraints of decision-making scenarios is crucial when applying optimal stopping theory, like the 37% rule, to real-world situations.
- The 37% success rate, while optimal within the game setting, may not translate to high success rates in practical hiring or decision-making scenarios, emphasizing the need to consider alternative strategies.
- The concrete simulation results provide tangible evidence of the effectiveness of the 37% rule strategy in the 'Pick or Pass' game show format, offering insights into decision-making under uncertainty.
- Further exploration and testing of different thresholds validate the 37% rule as the peak success rate strategy, reinforcing its applicability in similar decision-making contexts.
- Upcoming content will delve into the mathematical model underpinning the 37% rule problem, shedding light on the theory and implications of optimal stopping strategies.
Read Full Article
17 Likes
Analyticsindiamag
1M
442
Image Credit: Analyticsindiamag
Bengaluru Might Become the Biggest Victim of AI
- Bengaluru, India's tech hub, is facing challenges due to the rapid rise of AI-driven automation, impacting low-skill IT jobs and leading to job losses in service-based roles.
- Companies in Bengaluru are cutting jobs, automating entry-level developer roles, and reevaluating their business models to adapt to AI influences.
- AI is reshaping Bengaluru's job market, causing concerns about mass job losses, but also creating new opportunities in AI engineering and cloud expertise.
- The city's tech migration may slow down as AI automates roles, affecting rental housing, local businesses, and the economy that relied on the influx of tech workers.
- AI's impact extends beyond tech jobs to finance, operations, accounting, and legal services, with automation disrupting various sectors in Bengaluru.
- Experts suggest upskilling in AI, machine learning, and automation-related fields is crucial for Bengaluru's workforce to stay relevant amidst AI disruptions.
- While some believe that AI may boost the economy in the long run, there are concerns about job displacement and the need for strategic adaptation to AI advancements.
- AI's broader and faster impact in Bengaluru poses challenges for adapting to the changing job landscape and evolving workforce needs.
- The city's real estate market, local businesses, and GCCs are all feeling the effects of AI-driven automation, leading to shifts in workforce structures and hiring practices.
- Bengaluru's history of adapting to tech disruptions suggests a capacity for transformation, but the unpredictability of AI's impact adds complexity to the city's evolution.
- To thrive in the AI era, Bengaluru's workforce must focus on upskilling and adapting to advancements in AI, machine learning, and automation to navigate the changing job landscape.
Read Full Article
26 Likes
Medium
1M
127
Image Credit: Medium
Young Coders Are Using AI for Everything, Giving “Blank Stares” When Asked How Programs Actually…
- Young coders are increasingly relying on AI models like Copilot, Claude, and GPT to develop code.
- Experienced developer, Namanyay Goel, criticizes the lack of understanding and foundational knowledge among junior developers.
- Goel observed that while the code works, the young coders struggle to explain why it works in a particular way or address edge cases.
- He highlights the importance of struggling through problems and seeking guidance from experienced developers to become proficient in coding.
Read Full Article
7 Likes
Medium
1M
447
Image Credit: Medium
I just discovered Perplexity Sonar Reasoning. Why is nobody talking about this??
- Perplexity Sonar Reasoning is a model that provides real-time web search capabilities in AI platforms.
- The model outperformed a query-based approach in providing accurate information about real-time stock market events.
- Despite its strengths, Perplexity Sonar Pro is expensive compared to other models and lacks access to relevant sources via the API.
- Combining the web search feature of Perplexity with a financial news API can provide a comprehensive analysis for investors.
Read Full Article
26 Likes
Medium
1M
67
Image Credit: Medium
The Shocking Shift from Comprehensive Policies to Simple AI Guardrails
- Educators are shifting from comprehensive policies to simpler AI guardrails in order to guide AI use in classrooms.
- The shift aims to ensure safety, privacy, and ethical teaching practices.
- Guardrails offer adaptable guidelines that allow teachers and students to leverage AI's benefits safely.
- The use of AI in education is revolutionizing the educational landscape.
Read Full Article
4 Likes
Medium
1M
384
Image Credit: Medium
Solving Capitalize the Title on LeetCode — C# Solutions Walkthrough
- C# provides several ways to handle string transformations efficiently, from basic string operations to more optimized approaches that reduce memory usage.
- This article explores three different C# solutions for solving the Capitalize the Title problem on LeetCode.
- Each solution includes a step-by-step explanation, code comments, and a more in-depth breakdown of time and space complexity.
- All solutions run in O(n) time complexity, but Solution 3 offers better memory efficiency.
Read Full Article
23 Likes
Medium
1M
63
Image Credit: Medium
Hyperspectral Ultra-Dimensional Sensory Interface
- The HUD-SI project aims to collect and analyze data from various dimensions and spectra using a range of sensors and generative AI algorithms.
- The system, based on a Raspberry Pi 4, integrates visual, spectral, audio, vibration, environmental sensors, and even quantum-inspired inputs.
- Software stack includes Python, Plotly/Dash, TensorFlow, for sensor interfacing, data visualization, generative AI, and web integration.
- Hardware components involve Raspberry Pi Camera Module, Spectral Sensor, Microphone Amplifier, Sense HAT, and Grove Sensor Kit.
- The blueprint outlines wiring connections, modular sensor integration, and specific product recommendations for building the system.
- Sample Python code demonstrates reading hyperspectral data, integrating audio capture, and creating interactive visualization dashboards.
- Data fusion combines multiple data types for pattern recognition, machine learning pipelines, and ultra-dimensional visualization.
- Generative AI can predict new data patterns, while the system serves as a transformative tool for perception enhancement.
- The HUD-SI blueprint on Raspberry Pi 4 offers a unique instrument for scientific discovery, pushing the boundaries of perception and exploration.
- Future directions involve embracing challenges, expanding sensory realms, and revolutionizing our understanding of the universe with ultra-dimensional sensors.
Read Full Article
3 Likes
Medium
1M
18
Image Credit: Medium
“From a Self-Breaking Void to a Provable Universe: A Cosmic Odyssey”
- The article explores the concept of a multiverse through the lens of speculation and reasoning.
- It introduces the concept of the Multiverse Discrete Inflationary Cyclic Infinite (MDICI) as a framework for the universe's evolution.
- The text transitions into a more calculated approach, developing the Discrete Inflationary Network (DIN) based on observable phenomena.
- The DIN is a testable theory that bridges speculative models like the MDICI with observable reality.
- Simulation evidence and testable predictions support the DIN, offering insights into fractal patterns in the CMB and discrete gravitational waves.
- The article discusses concrete applications of proving the DIN, impacting cosmology, fundamental physics, technology, and society.
- Potential ramifications include rewriting origins, unveiling dark energy, bridging gaps in physics, and revolutionizing technology like fractal computing.
- If validated, this discovery could reshape our understanding of the universe and humanity's place within it.
- The article concludes by emphasizing the journey from speculative infinity to empirically grounded theories, highlighting the potential of this newfound understanding.
- The cosmic odyssey presented in the article aims to reconcile the poetry of imagination with the precision of scientific observation.
- By integrating speculative models and testable theories, the exploration offers a comprehensive view of the cosmos and our role within it.
Read Full Article
1 Like
Analyticsindiamag
1M
289
Image Credit: Analyticsindiamag
AIM Print Mar 2025 Edition
- AIM Media House has unveiled the March 2025 edition of its magazine, 'AI INSIDER V25.03.06', focusing on the transformational impact of artificial intelligence (AI) on various industries and global business dynamics.
- The cover story highlights India's Global Capability Centres (GCCs) and their role in reshaping global business operations.
- The edition explores technology advancements, including NVIDIA's shift to become a leader in robotics and the influence of AI on Indian cinema.
- AI's societal impact is also discussed, with insights from industry leaders emphasizing the importance of accessible AI solutions in local languages.
Read Full Article
17 Likes
Medium
1M
289
Image Credit: Medium
Science behind Greedy Algorithms — Minimax
- Minimax and Alpha-Beta Pruning are types of Greedy Algorithms used to improve efficiency and speed of programs.
- Minimax evaluates each move based on the number of points gained and selects the move that gives the maximum value.
- Minimax considers opponent's optimal moves and plays defensively to minimize the opponent's points.
- Alpha-beta pruning helps AI avoid unnecessary calculations by skipping bad moves and focusing on better options.
Read Full Article
17 Likes
Medium
1M
357
Image Credit: Medium
Enhancing Research Efficiency with EXA.ai and DeepSeek: Building the Athena Research Tool
- As a researcher, the volume of data to process can be overwhelming and time-consuming.
- The Athena research tool, powered by EXA.AI and DeepSeek, aims to automate research tasks and improve efficiency.
- EXA.AI specializes in extracting structured knowledge from unstructured text, while DeepSeek is a semantic search engine for more accurate search results.
- A step-by-step approach was taken to develop Athena, including setting up the environment, integrating EXA.AI and DeepSeek, building the interface, and testing and optimizing the tool.
Read Full Article
21 Likes
Analyticsindiamag
1M
361
Image Credit: Analyticsindiamag
Microsoft Lays Foundation for New India Development Centre in Noida, To Double Down on AI and Cloud Capabilities
- Microsoft laid the foundation for its proposed India Development Centre (IDC) campus in Noida, with a focus on AI, cloud, and security research capabilities.
- Once ready, the facility will play a key role in strengthening India's AI capabilities, fostering digital innovation, and supporting engineering talent.
- Microsoft has committed a $3 billion investment in AI and cloud capacity in India, aiming to equip 10 million Indians with AI skills by 2030.
- The company is collaborating with IndiaAI to establish AI Centers of Excellence, train educators, support startups, and build a strong ecosystem for innovation.
Read Full Article
21 Likes
For uninterrupted reading, download the app