A naukri.com initiative
Data Science News
Medium
2w
304
Image Credit: Medium
Bazaar: Hyper sensory system a variation system.
- The article explores the process of simplifying reading and understanding through clear steps, validation at each step, and the central role of essence in transformation.
- It delves into unitary fractions for comparison and decision-making, emphasizing the importance of accuracy and authorization requirements.
- The reflection on time, causality, and perception highlights the non-linearity of time and the subjective nature of reality.
- Rhetorical questioning is used to stimulate reflection and challenge received ideas, encouraging the search for causes and meaning.
- The article also explores visual elements like diagrams to visualize the creation process and relationships between steps.
- The author discusses the importance of analysis in quality processing, emphasizing the impact on results and the need for precision.
- Fractionation is highlighted for precision in data analysis, with a focus on division by zero and fractions as tools for accuracy.
- The article connects magic to science, exploring the composition of things, reaction triggers, and the application of knowledge for desired outcomes.
- The author contemplates consciousness, unconsciousness, and hyperconsciousness, linking them to brain functions, rhythms, and decision-making processes.
- Exploration of the essence of words, composition, and variations illustrates the complexity and precision required for analysis and understanding.
- The author's philosophical reflections on time, movement, consciousness, and causality portray a thought-provoking journey through abstract concepts and their implications.
Read Full Article
18 Likes
Medium
2w
44
Image Credit: Medium
Title: The Ultimate Guide to Learning Programming in 2025
- Depending on your goals, start with a language that suits your needs, such as HTML, CSS, JavaScript, Python, Swift, Kotlin, C#, Unity, C++, or Python.
- Core concepts to understand: variables and data types, conditional statements, loops, functions and modules, and object-oriented programming.
- Learn programming by building projects like a to-do list app, calculator, weather app using APIs, or more advanced projects like a blog website, AI chatbot, or stock price prediction using machine learning.
- To become a productive programmer, use tools like VS Code, Git & GitHub, AWS, Firebase, and various databases. Join programming communities like GitHub, Stack Overflow, Reddit, and Discord & Telegram groups. Consider freelancing, creating SaaS products, building mobile apps, selling coding courses, or blogging to earn money. Stay updated by following tech blogs, watching YouTube tutorials, taking advanced courses, reading documentation, and participating in hackathons. Build a strong portfolio by hosting projects on GitHub, creating a personal website, writing case studies, and networking on LinkedIn & Twitter. Contribute to open-source projects on GitHub to improve skills and enhance your resume. Keep challenging yourself by solving problems on coding platforms and experimenting with new frameworks & technologies.
Read Full Article
2 Likes
Analyticsindiamag
2w
147
Image Credit: Analyticsindiamag
Vanguard Group Chooses Hyderabad for its First India GCC, To Hire 2,300 Employees
- Vanguard Group has chosen Hyderabad for establishing its Global Capability Centre (GCC), marking its first facility in India.
- The centre will focus on recruiting top-tier engineering talent in areas such as AI, data analytics, and mobile engineering.
- Vanguard Group plans to scale the facility to over 2,300 employees in the coming years, contributing to the region's growing tech ecosystem.
- Hyderabad is rapidly establishing itself as a major hub for global corporations in the tech and life sciences sectors.
Read Full Article
8 Likes
Medium
2w
156
The Rise of AI in Everyday Life: How It’s Changing Everything
- AI-driven voice assistants like Siri, Alexa, and Google Assistant have become common in households, providing personalized experiences and seamless interactions.
- AI is revolutionizing content creation by enabling the generation of high-quality text, images, and videos, allowing creators to work more efficiently.
- In healthcare, AI is assisting doctors with faster and more accurate disease diagnosis, analyzing medical images, and improving patient care.
- AI is empowering e-commerce by personalizing the online shopping experience through behavior analysis, optimized pricing, and AI chatbot support.
Read Full Article
9 Likes
Medium
2w
121
Image Credit: Medium
Data Science: The Sexy Job That’s Not So Sexy After All
- Data science is often not the glamorous job it's made out to be.
- A significant portion of the work involves data cleaning and wrangling.
- Data scientists heavily rely on online resources and problem-solving skills.
- The job requires a mix of technical expertise, statistical knowledge, and patience.
Read Full Article
7 Likes
Medium
2w
220
Image Credit: Medium
AI Revolution Unveiled: How Artificial Intelligence Is Redefining Our World
- AI has become a major part of our everyday lives, with the global AI market projected to reach $826 billion by 2030.
- AI has revolutionized industries such as healthcare, retail, and transportation, with applications ranging from cancer diagnostics to customer support.
- While some jobs may be replaced by AI, the World Economic Forum predicts that AI will create more jobs than it displaces by 2025.
- AI tools like GitHub Copilot are also significantly improving development efficiency, saving time for programmers.
Read Full Article
13 Likes
Analyticsindiamag
2w
1.5k
Image Credit: Analyticsindiamag
Did Google Just Build The Best AI Model for Coding?
- Google has introduced Gemini 2.5, which is being acclaimed as potentially the best AI model for coding, surpassing Anthropic's Claude.
- Gemini 2.5 Pro Experimental outperformed other models in the Aider Polyglot leaderboard, scoring 72.9%.
- Developers have praised Gemini 2.5 for its efficiency in identifying flaws in code and rewriting applications effectively.
- The model is noted for accurately reproducing user interfaces and handling large codebases.
Read Full Article
33 Likes
Medium
2w
152
Image Credit: Medium
Simplify Your Power BI Reports: How to Use Field Parameters to Save Space
- Field Parameters in Power BI can help simplify reports and save space.
- Field Parameters allow for dynamic swapping between dimensions or measures in visualizations.
- Using Field Parameters can reduce the number of visuals and create a cleaner, more intuitive report.
- An example scenario involves an overcrowded Power BI report on student data. Field Parameters can be used to transform the report and uncover patterns.
Read Full Article
9 Likes
VentureBeat
2w
209
A new, enterprise-specific AI speech model is here: Jargonic from aiOla claims to best rivals at your business’s lingo
- Israeli startup aiOla has launched Jargonic, an automatic speech recognition (ASR) model designed specifically for enterprise use.
- Jargonic is built to handle specialized jargon, background noise, and diverse accents without the need for extensive retraining or fine-tuning.
- The model demonstrates superior performance in recognizing business jargon and achieving high accuracy across multiple languages.
- Available via API, Jargonic is positioned as a production-ready ASR solution for industries such as manufacturing, logistics, financial services, and healthcare.
Read Full Article
12 Likes
Medium
2w
13
Image Credit: Medium
The Surprising Truth About AI and Job Displacement
- AI is reshaping careers, creating new roles, and transforming industries.
- AI is not just about machines taking over tasks, but about creating new possibilities and opportunities.
- Certain jobs, like customer service representatives, drivers, and factory workers, are more susceptible to automation.
- Understanding the AI job market impact is crucial for navigating the changing landscape.
Read Full Article
Like
Analyticsindiamag
2w
213
Image Credit: Analyticsindiamag
Chinese Startup Launches Free AI Agent Powered by Models 8x Faster than DeepSeek-R1
- Chinese artificial intelligence startup, Zhipu AI, has launched a new AI agent called AutoLM Rumination.
- The AI agent can perform deep research tasks, generate detailed reports, and assist with planning activities, all for free.
- Zhipu AI's proprietary models are claimed to be as good as DeepSeek R1 but operate eight times faster and require fewer resources.
- Zhipu AI recently secured $69 million in Series D funding, is valued at $2.74 billion, and has previous backing from Tencent and Alibaba.
Read Full Article
12 Likes
Medium
2w
352
Image Credit: Medium
The Human Element. Chess as a metaphor for human resilience, in a world governed by algorithms
- Bobby Fischer's approach in chess was about transforming every move into a question to unsettle his opponents, as seen in his match against Spassky.
- Fischer's obsessive demands and psychological tactics aimed to unnerve his opponent and create a laboratory of solitude during their match.
- Fischer's total identification with chess led to choices of stunning originality, contrasting Spassky's structured approach supported by a team.
- The unpredictability of Fischer's play disrupted Spassky's preparation, highlighting the limitations of relying solely on collective methods.
- The imperfections and moments of insecurity in the players during the sixth game emphasized the human aspect of chess over mere perfection.
- Chess, like life, is about imperfect choices made in a specific context, emphasizing the dialogue and experience rather than perfect knowledge.
- The Fischer-Spassky match exemplifies the ethics of the game, where even in defeat, acknowledging the opponent's triumph holds beauty and respect.
- The emergence of 'humanist' chess clubs and a return to embracing imperfection in chess signify a rediscovery of the game's essence beyond technological dominance.
- In a world increasingly governed by algorithms, chess serves as a reminder of human resilience, emphasizing the encounter between imperfect minds and the art of crisis.
- Chess, as demonstrated by Fischer and Spassky, is not just a game of victory or defeat, but a reflection of human condition and the essence of remaining human despite challenges.
Read Full Article
21 Likes
Medium
2w
246
Image Credit: Medium
The Scramble for Purpose in the Age of AI
- Artificial Intelligence (AI) is evolving into an autonomous craftsman, capable of writing its own code and designing systems beyond human comprehension.
- AI models such as GPT-4, Copilot, and AutoML can perform tasks previously done by software engineers, raising questions about the future role of engineers.
- The traditional notion of 'learning to code' as a safeguard for job security is eroding, and engineers will need to adapt or risk becoming obsolete.
- The future of software engineering may involve shifting from programmers to curators, supervisors, and strategists, guiding the code rather than writing it.
Read Full Article
14 Likes
Medium
2w
30
Image Credit: Medium
Google launched Column Granularity for BigQuery
- Google has introduced column granularity for BigQuery search indexes.
- Column granularity allows BigQuery to optimize search queries by storing additional column information in the search index.
- By setting the column granularity for an indexed column, you can improve search query performance.
- The new feature helps reduce costs and speed up queries for BigQuery users.
Read Full Article
1 Like
Medium
2w
178
Image Credit: Medium
The Importance of Weekly Business Reviews (WBRs): Turning Data into Action
- Weekly Business Reviews (WBRs) are essential for aligning teams, driving action, and refining business strategies through detailed metrics and context.
- WBRs balance between summary metrics for quick understanding and granular data for deeper insights to aid informed decision-making.
- The focus of WBRs goes beyond reporting to actionable insights, allowing for deep dives into critical issues and collaborative problem-solving.
- Continuous improvement is a key aspect of WBRs, refining metrics over time to ensure they accurately reflect business performance and align with goals.
- Transparency, alignment, and accountability are fostered through WBRs by making key metrics visible to stakeholders and encouraging cross-departmental collaboration.
- Structured WBRs can maximize productivity by focusing on critical metrics, fostering collaboration, turning insights into action items, and iterating on metrics.
- Effective WBRs serve as platforms for continuous collaboration, driving unity, shared purpose, and informed decision-making across departments.
- Key learnings for successful WBRs include maintaining focus, encouraging collaboration, translating insights into actions, and refining metrics for better alignment.
- WBRs are investments in long-term success, enabling organizations to adapt and evolve in a dynamic business environment through data-driven thinking and continuous improvement.
Read Full Article
10 Likes
For uninterrupted reading, download the app