1stepGrow Academy

How #AI and #Robotics Are Empowering Us to Achieve More! In the next few years, AI and robotics will play a big role in changing workplaces all around the world. This is not just about automation. It is about helping us work in more creative ways, think smarter, and achieve more than ever before. AI and robotics are not here to take away human talent. They are here to make it even stronger. By handling repetitive tasks, they give us the freedom to focus on solving problems, coming up with new ideas, and building stronger connections with our work. This change is a chance for us to adapt, grow, and stay ahead in a fast-changing world. The future of work isn’t just about technology—it’s about how we use that technology to improve our lives and make our workplaces better. 📍 Interested in AI and Robotics? Turn your curiosity into expertise today at 👉 https://lnkd.in/dZte5GdH 📌Follow 1stepGrow Academy for such external information on AI & Robotics. #1stepGrow #FutureOfWork #Innovation #WorkplaceTransformation

Learn How R Functions Communicate Through Environments! To become an efficient and smooth coder in R programming, one would need to know how function environments work, as that is one of the most important things in data science programming. This cheat sheet describes how R handles environments and scoping, and would help you. 𝐖𝐡𝐚𝐭 𝐃𝐨𝐞𝐬 𝐭𝐡𝐞 𝐂𝐡𝐞𝐚𝐭 𝐒𝐡𝐞𝐞𝐭 𝐂𝐨𝐧𝐭𝐚𝐢𝐧? 🔹𝐄𝐧𝐜𝐥𝐨𝐬𝐢𝐧𝐠 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: See how functions in R hold reference to the environment they're created in to access efficiently and use the valuable items. 🔹𝐁𝐢𝐧𝐝𝐢𝐧𝐠 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: Find a function and learn how to perceive its relationship with other environments within your workspace in R. 🔹𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: See what kind of temporary space is created every time a function ends up running-and, once it's finished, how it's tossed out of head cleanup for workflow. 🔹𝐂𝐚𝐥𝐥𝐢𝐧𝐠 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: Dynamic scoping and how it's useful in practices for interactive data analysis make your functions that much more flexible and powerful. 💡If this cheat sheet is useful to you, have it saved or downloaded right now! 📍 Ready to boost your R programming skills? Start coding with confidence today! 👉 https://lnkd.in/dZte5GdH 📌Follow 1stepGrow Academy for more insights on R and Python programming! #1stepGrow #DataScience #MachineLearning #DataScientist #DataAnalysis #RProgramming

Which is the Most Critical Data Science Skill? 🤔 Data science is a multi-dimensional and quasi-challenging job for a candidate, requiring a mixture of technical and analytical minds. 📊 𝐒𝐭𝐚𝐭𝐬: This would be at the core of data science. In the absence of an extremely strong understanding of statistical concepts, it becomes hard even to interpret the data and ultimately also come to a valid conclusion. This is what grounds every data-driven decision. 🤖 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: The ability to automate insight. Reason for that: It reveals patterns and predictions impossible to discover by anyone or any processes outside of machine learning. You'd always see machine learning in place when it comes to recommendation systems and predictive analytics. 🌐 𝐃𝐨𝐦𝐚𝐢𝐧 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞: You need to know your subject matter very well. Health care, finance, or retail are all very different fields, and it is knowing the context in which your data will have to be of use that serves as that bridge between raw data and human impacts. Cast your vote in the poll and share your insights! 📌 Ready to advance your skills? Explore our expert-led courses in data science, machine learning, and AI 👉 https://lnkd.in/dZte5GdH 📌 Follow 1stepGrow Academy for more insights on Data Science! #1stepGrow #DataScience #Machinelearning #Python #Professionaldevelopment

Ever tried to teach someone entirely new things? Now imagine teaching an #AI-reinforcement learning that makes it run-like the actual running itself! This ridiculously funny clip captures such an AI on its way to learning how to move - stepping, tumbling, and faceplanting along the way. It is a real reminder of how machines, like any human, learn by trial and error with some triumphs, stumbles, and the occasional surprising moment along the journey. This is powered by Hyfidy-software for precise high-performance biomechanical simulation and DEP-RL (Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems). 📍 Interested in Data Science and AI? Turn your passion into expertise today at 👉 https://lnkd.in/dZte5GdH 📌Follow 1stepGrow Academy for such external information on AI & Robotics. #1stepgrow #AIHumor #ReinforcementLearning #MachineLearning #TechLaughs #AIExperiments

Learn How R Environments Make Your Workspace Controlled! It is not just about coding in R but working with a thorough understanding of how the system works to help in easing up your data workflow. This cheat sheet simplifies the concepts of environments and the search path in R for the purpose of controlling your programming. 🔹𝐆𝐥𝐨𝐛𝐚𝐥 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: Know the workspace where you do all your coding. Access it using globalenv(). This is your starting point for all interactive work. 🔹𝐁𝐚𝐬𝐞 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: Understand the backbone for facilitating most of R's functionality. You can access it with baseenv(). Without its core, the R programming part remains disconnected from the functionality. 🔹𝐄𝐦𝐩𝐭𝐲 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: Get to know about the parent of all environments in R. emptyenv() is used to get it. It is unique because it doesn't store anything and has no parent. 🔹𝐒𝐞𝐚𝐫𝐜𝐡 𝐏𝐚𝐭𝐡: Discover how R gets to find its objects and functions. A search() is to see all the connected environments. Every time you load new packages, it would go to this way and so organize your ways to functions and data. All of these are going to help organize your code, make fewer mistakes, and do things more efficiently. The environment and search path are going to be important whether you're a newcomer or a pro making life easy when coding. 💡 Save this cheat to get you coding with confidence! 📍 Ready to boost your R programming skills? Start coding with confidence today! 👉 https://lnkd.in/dZte5GdH 📌Follow 1stepGrow Academy for more insights on R and Python programming! #1stepGrow #RProgramming #DataScience #CodingTips #Python #ProfessionalDevelopment

Unlock the Power of Time Series Analysis in #DataScience! Python libraries are essential for time series analysis in data science, offering powerful tools for data manipulation, visualization, and statistical modeling. Key libraries include Pandas, Statsmodels, and scikit-learn, which streamline tasks like forecasting, anomaly detection, and feature extraction. These libraries enhance efficiency and accuracy, making complex time series analysis more accessible and effective. Cast your vote in the poll and share your insights! 📌 Ready to advance your skills? Explore our expert-led courses in data science, machine learning, and AI 👉 https://lnkd.in/dZte5GdH 📌 Follow 1stepGrow Academy for more insights on Data Science! #1stepGrow #TimeSeriesAnalysis #DataScience #PythonLibraries #MachineLearning #DataVisualization #Python

Say hello to the Hypershell #AI exoskeleton! Transform ordinary legs into extraordinary powered legs to make hiking, running, and any other activity much easier. It's not just smart but also intelligent, as it learns your movements in order to assist you better. Just let it change your mind in your every move with AI beside you! 📍 Interested in Data Science and AI? Turn your passion into expertise today at 👉 https://lnkd.in/dZte5GdH 📌Follow 1stepGrow Academy for more insights on AI & Robotics! #1stepGrow #technology #Innovation #ExoskeletonTech #SmartExoskeleton

Understand How Environments Make #RProgramming Smarter! Environments that manage data and memory in R are the heart and soul of coding. When understood, these become indispensable to your improvement while also smoothening your coding journey. 𝐖𝐡𝐚𝐭 𝐈𝐬 𝐈𝐧 𝐈𝐭 𝐅𝐨𝐫 𝐘𝐨𝐮? 🔹𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐁𝐚𝐬𝐢𝐜𝐬: In terms of analogy, you could call the environment a bag of names. Each name points to an object stored in memory, an environment harnessing the power of lexical scoping, under which the variables and functions can be influenced. 🔹𝐍𝐚𝐦𝐞𝐝 𝐋𝐢𝐬𝐭: You can think of an environment as a list in which each name is attached, in the forward direction, to an object. No name attached to an object means that the object will be immediately garbage collected by the efficient R systems with no further ado and memory is cleaned. 🔹𝐏𝐚𝐫𝐞𝐧𝐭 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: All environments are with a parent except the empty environment. If R doesn't find a variable in the current environment, it searches the parent and goes on until this variable is found or the empty environment is reached. 💡 If you find this cheat sheet helpful, save or download it now! 📍 Ready to boost your R programming skills? Start coding with confidence today! 👉 https://lnkd.in/dZte5GdH 📌Follow 1stepGrow Academy for more insights on R and Python programming! #RProgramming #DataScience #CodingTips #ProgrammingMadeSimpl

What is the primary goal of data preprocessing in data science? Having an understanding of what data preprocessing is all about for data science is like having a head start on a road trip. It guides to data enthusiasts to adjust the data right, to make the data more easily understandable for analysis. Being aware of this goal helps us perform better and that our analyses are worthwhile engaging in. In other words, it’s like having a compass in a vast land of digital data to guide and lead us to informative and innovative directions. Vote and comment below! 📌 Want to sharpen your skills? Check out our expert-led courses in data science, machine learning, and AI 👉 https://lnkd.in/dZte5GdH 📌 Follow 1stepGrow Academy for more insights into Data Science! #1stepgrow #DataAnalysis #MachineLearning #Python #dataPreprocessing

#AI Teleportation by Huawei! Now Huawei is taking file transfers between devices to another level. Transferring files can now be done by grabbing with one and dropping it onto the other by gesture. Using spatial-aware AI for near-field connections, Huawei takes the ease and naturalness of file-sharing into its next phase. For it, HarmonyOS NEXT immediately detects neighboring devices, with AI predicting one's movements to feel seamless. 💡Do not forget to express your excitement on this feature in comments below! 📍 Interested in Data Science and AI? Turn your passion into expertise today at 👉 https://lnkd.in/dZte5GdH 📌Follow 1stepGrow Academy for more insights on AI & Robotics! #1stepGrow #Technology #FileSharing #Innovation