JAVA WITH DSA BINARY BATCH & MERN FULL STACK DEVELOPMENT

⚠️ Last Minute FORMULA Book Leaked 🔻 Direct things from here in EXAM 🔥 Chemistry Formula Sheet📊 https://c360.me/a8e0e8 https://c360.me/a8e0e8 https://c360.me/a8e0e8 Ye karliya toh bas Kaafi hai 📌 Download fast only for our Subscribers 💠

Physics Wallah Institute of Innovation !🚨

Use this referral code ( HRS0001 ) & pay JUST Rs.1/- Limited for the first 200 STUDENTS ONLY! Registration link: https://pwioi.com/cee-exam?utm_source=influencer&utm_medium=ioi&utm_campaign=harsh_ioi_feb25 Hurry up!!

Physics Wallah Institute of Innovation !🚨

Use this referral code ( HRS0001 ) & pay JUST Rs.1/- Limited for the first 200 STUDENTS ONLY! Registration link: https://pwioi.com/cee-exam?utm_source=influencer&utm_medium=ioi&utm_campaign=harsh_ioi_feb25 Hurry up!!

Physics Wallah Institute of Innovation !🚨

Use this referral code ( HRS0001 ) & pay JUST Rs.1/- Limited for the first 200 STUDENTS ONLY! Registration link: https://pwioi.com/cee-exam?utm_source=influencer&utm_medium=ioi&utm_campaign=harsh_ioi_feb25 Hurry up!!

➡️ Physics Wallah Institute of Innovation is now taking applications!🚨🚨

Register for their CEE (Common Entrance Exam) today. Use this referral code ( HRS0001 ) & pay JUST Rs.1/- FOR THEIR ENTRANCE EXAM! Limited for the first 200 STUDENTS ONLY! Registration link: https://pwioi.com/cee-exam?utm_source=influencer&utm_medium=ioi&utm_campaign=harsh_ioi_feb25 This offer is only there for a limited time and limited students. Hurry up!!

🔔 CODING HACKING COLLEGE https://t.me/+zvB51GMx_vdmZGEx 🔔 DSA PYTHON PROGRAM COURSES https://t.me/+wR2rlq-le2k5YTk1 🔔 WEB DEVELOPMENT COURSES https://t.me/+Bj5ezyc6mugzNjM1 🔔 APP WEBSITE DEVELOPMENT https://t.me/+f93hM7xwepsxZTYx 🔔 COLLEGE COURSES https://t.me/+IhtmM8qGEDwzZWE1 🔔 Electrical branch GATE https://t.me/+mmOyW7ToQNpmMzNl 🔔 GATE Civil branch https://t.me/+xiPBMxV4Z1UxNDNl 🔔 Gate mechanical crash course https://t.me/+PhXmcpMKjZE5Yzhl 🔔 DSA PYTHON JAVA C+ BATCH https://t.me/+EyLj2IRj66Q3MmJl 🔔 UDEMY CODING PLACEMENT https://t.me/+gudEongz-bo3MmM9

Most Asked Interview Questions with Answers 💻✅

How to enter into Data Science 👉Start with the basics: Learn programming languages like Python and R to master data analysis and machine learning techniques. Familiarize yourself with tools such as TensorFlow, sci-kit-learn, and Tableau to build a strong foundation. 👉Choose your target field: From healthcare to finance, marketing, and more, data scientists play a pivotal role in extracting valuable insights from data. You should choose which field you want to become a data scientist in and start learning more about it. 👉Build a portfolio: Start building small projects and add them to your portfolio. This will help you build credibility and showcase your skills.

🐹 COMPUTER SKILL COURSES https://t.me/+SBide1DNHAg5MGM1 🐹 Neuron {Part 1} https://t.me/+zTRDMVtKw_RiYjk1 🐹 !Neuron {Part 2} https://t.me/+ukbJXBXh1rNmMzA9 🐹 HACKING CODING BOOKS https://t.me/+UpQWdjJ-PyZjYTY1 🐹 Python -Data science https://t.me/+uiyPCOmVP8U2NzRl 🐹 FREE COURSES | π𝐭𝐡𝐨𝐧 ™ https://t.me/+F62dR_U7Ym01Nzk1 🐹 ALL GATE BRANCHES https://t.me/+BbvzDbyxjCtjYzM1 🐹 DISCUSSION CODING GATE https://t.me/+uk4ODzuayqA4MGY1 🐹 CODERS HUB COURSES https://t.me/+TBHSqvS5FkdjZWRl 🐹B.TECH SEMESTERS SUBJECTWISE https://t.me/+SRapFuL7BvI3NWM1 Send request & wait for approval 👍

◾HANDWRITTEN NOTES ✍️◾️ 🔺DATA STRUCTURE SHORT NOTES 🔺DATA STRUCTURE INTERVIEW SERIES 🔹(PART - 1) 🔺DATA STRUCTURE INTERVIEW SERIES 🔹(PART - 2) 🔺DATA STRUCTURE INTERVIEW SERIES 🔹(PART - 3) 🔺DBMS (DATABASE MANAGEMENT SYSTEM)NOTES 🔺C PROGRAMMING SHORT NOTES

INSTAGRAM is instant MONEY! 10 ChatGPT / Gemini Prompts to grow and monetize on instagram. (Just copy paste these prompts) 1. "Engaging Content Calendar" Create a content calendar for the next 3 months for my Instagram account, [account_name], focused on [niche]. It should include a mix of [content_type] (e.g., Reels, posts, stories) with a variety of formats, like [examples]. Each post should be aligned with my target audience ([target_audience]) and their pain points, including [pain_points]. Like this post if need other interesting ones ⬇️

🚨 ChatGPT has a Windows app now OpenAI is testing a ChatGPT app for Windows— but it’s only available to paid users for now. You can download an early version of the app from then Microsoft Store. Just like the Mac version of the app. ChatGPT on Windows lets you ask the AI-powered chatbot questions in a dedicated window that you can keep open alongside your apps. You can quickly access the app by using the Alt + Space shortcut. It also lets you upload files and photos to ChatGPT and comes with access to a preview of OpenAI’s o1 model capable of “reasoning.” The app is still missing some capabilities, however, such as advanced voice mode. Shortly after OpenAI launched its ChatGPT app on Mac in June, a developer spotted a security, vulnerability that stored conversations in plain text. OpenAI has since fixed this issue and now encrypts locally stored data.

Evaluating fairness in ChatGPT We've analyzed how ChatGPT responds to users based on their name, using language model research assistants to protect privacy. Creating our models takes more than data—we also carefully design the training process to reduce harmful outputs and improve usefulness. Research has shown that language models can still sometimes absorb and repeat social biases from training data, such as gender or racial stereotypes. In this study, we explored how subtle cues about a user's identity—like their name—can influence ChatGPT's responses. This matters because people use chatbots like ChatGPT in a variety of ways, from helping them draft a resume to asking for entertainment tips, which differ from the scenarios typically studied in AI fairness research. While previous research has focused on third-person fairness, where institutions use AI to make decisions about others, this study examines first-person fairness, or how biases affect users directly in ChatGPT.

Microsoft is now fueling its AI ambitions with nuclear power, signing a 20-year deal with Constellation Energy. AI uses a lot of energy, but nuclear is a promising, sustainable power source that could support the expansion of AI capabilities.

◾HANDWRITTEN NOTES ✍️◾️ 🔺DATA STRUCTURE SHORT NOTES 🔺DATA STRUCTURE INTERVIEW SERIES 🔹(PART - 1) 🔺DATA STRUCTURE INTERVIEW SERIES 🔹(PART - 2) 🔺DATA STRUCTURE INTERVIEW SERIES 🔹(PART - 3) 🔺DBMS (DATABASE MANAGEMENT SYSTEM)NOTES 🔺C PROGRAMMING SHORT NOTES

Python -Data science https://t.me/+-QDPph_jNuxjMDg9 DATA SCIENCE MASTERS IMPACT BATCH https://t.me/+h7m57Qw_v2FkMGVl JAVA WITH DSA & SYSTEM DESIGN https://t.me/+XwLd9YfWMQc3ZTU1 STOCK MARKETING COURSES https://t.me/+4n5ii5EYtmFkOTg1 College coding & Hacking Books https://t.me/+T9JvH_DvwpdiZWU1 Decode DSA with C++ skills https://t.me/+ifNmIsnTAHtmYzg9 WEB DEVELOPMENT SIGMA Batch https://t.me/+zrGT4VUcSeRmNWZl Java with DSA and System Design https://t.me/+w7aqDw6mXnQxNDE1 Last time sharing all this links👍

An Artificial Neuron Network (ANN), popularly known as Neural Network is a computational model based on the structure and functions of biological neural networks. It is like an artificial human nervous system for receiving, processing, and transmitting information in terms of Computer Science. Basically, there are 3 different layers in a neural network : Input Layer (All the inputs are fed in the model through this layer) Hidden Layers (There can be more than one hidden layers which are used for processing the inputs received from the input layers) Output Layer (The data after processing is made available at the output layer) Graph data can be used with a lot of learning tasks contain a lot rich relation data among elements. For example, modeling physics system, predicting protein interface, and classifying diseases require that a model learns from graph inputs. Graph reasoning models can also be used for learning from non-structural data like texts and images and reasoning on extracted structures.

Some helpful Data science projects for beginners https://www.kaggle.com/c/house-prices-advanced-regression-techniques https://www.kaggle.com/c/digit-recognizer https://www.kaggle.com/c/titanic Intermediate Level Data science Projects Black Friday Data : https://www.kaggle.com/sdolezel/black-friday Human Activity Recognition Data : https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones Trip History Data : https://www.kaggle.com/pronto/cycle-share-dataset Million Song Data : https://www.kaggle.com/c/msdchallenge Census Income Data : https://www.kaggle.com/c/census-income/data Movie Lens Data : https://www.kaggle.com/grouplens/movielens-20m-dataset Twitter Classification Data : https://www.kaggle.com/c/twitter-sentiment-analysis2 Text mining : https://www.kaggle.com/kanncaa1/applying-text-mining

Additional Resources To Assist Research https://www.reddit.com/r/MachineLearning/ • https://www.reddit.com/r/deeplearning/ • https://paperswithcode.com/ • https://papers.nips.cc/ • https://icml.cc/ • https://iclr.cc/ • https://www.researchgate.net/

Logistic regression fits a logistic model to data and makes predictions about the probability of an event (between 0 and 1). Naive Bayes uses Bayes Theorem to model the conditional relationship of each attribute to the class variable. The k-Nearest Neighbor (kNN) method makes predictions by locating similar cases to a given data instance (using a similarity function) and returning the average or majority of the most similar data instances. The kNN algorithm can be used for classification or regression. Classification and Regression Trees (CART) are constructed from a dataset by making splits that best separate the data for the classes or predictions being made. The CART algorithm can be used for classification or regression. Support Vector Machines (SVM) are a method that uses points in a transformed problem space that best separate classes into two groups. Classification for multiple classes is supported by a one-vs-all method. SVM also supports regression by modeling the function with a minimum amount of allowable error.