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Unleash the power of mathematics in AI. Join our innovative program, Foundations of Mathematics for Artificial Intelligence, where you'll explore the connection between linear algebra, machine learning theory, and Python code. Don't miss out on this unique opportunity to dive deep into the future of technology and #AI. Register Now: bit.ly/3SJsbFp #MathematicsforAI #ArtificialIntelligence #MachineLearning #PythonCode #MITShortPrograms #MITProfessionalEducation

Undertaking on the odyssey of mastering Machine Learning, one delves into a labyrinthine landscape of algorithms and models, where the enigmatic interplay of data and mathematics unfolds. Each epoch of learning unveils new vistas of knowledge, challenging one's intellect and fortitude. As one traverses this intricate terrain, the elucidation of complex concepts becomes a beacon, illuminating the path to proficiency. Each convolution and nuance of the subject is a testament to the intricacy of the human mind and its capacity for understanding. #MachineLearning #DataScience #AI #ArtificialIntelligence #DeepLearning #NeuralNetworks #DataMining #Python #Programming #TechJourney

🎯 I have completed 73% of my Machine Learning course with ilmX. 📚 Just wrapped up Module 7, "Neural Networks" where I deepened my understanding the techniques in Machine Learning. I'm proud to share that I scored 5/5 on Quiz #7 and successfully submitted Programming Assessment #5, which was entirely focused on implementation of Neural Networks concepts. 🚀 Excited to continue this journey and eager to explore more advanced topics ahead! #ilmX #MachineLearning #LinkedinFamily #NeuralNetworks #Quizes #Assessments #Python #Programming

Knocking out #day54 of my #100DaysOfDataScience marathon! Spent the first half strengthening comprehension of expressing linear regression mathematically with matrices and vectors. 📏 Then started tackling a new #ImageClassification project using #OpenCV to get hands-on with neural network building blocks. Exciting to synthesize the intensive theory learned with some applied coding again! Loving how complementary theoretical grounding and experimentation through projects are at accelerating my #MachineLearning skills. Still so much to learn on both fronts over the next 46 days! Building actively everyday💪🏽 Stay tuned for updates as I progress building my computer vision classification algorithms! Eyes on the next data science horizon 🌄 #ComputerVision #Coding #Python #ArtificialIntelligence #DeepLearning #TheoryToPractice

🚀 Completed Lecture 2: Uncertainty from CS50's Introduction to Artificial Intelligence with Python, taught by Brian Yu, Senior Preceptor in Computer Science at Harvard University! In this lecture, we dived deep into the world of probability. We started with foundational concepts like Unconditional and Conditional probability with examples, then explored formulas and the significance of random variables and independence. A key highlight was understanding Bayes' rule, along with principles like negation, inclusion-exclusion, marginalization, and conditioning. We also covered: - Inference(both by enumeration and approximate) - Sampling and likelihood weighting - Various models including Bayesian Networks, transition models, sensor models, and the Hidden Markov Model (HMM). We also explored the Markov assumption and Markov chains, built using transition and sensor models, leading us to tasks like: 1. Filtering 2. Prediction 3. Smoothing 4. Most likely explanation The lecture was packed with code and visual examples, making complex concepts much easier to grasp. Super excited to keep learning and apply these in real-world AI applications! 💻✨ #CS50 #ArtificialIntelligence #AI #MachineLearning #Probability #BayesianNetworks #MarkovModel #Python #HarvardUniversity#harvard

More on mathematics of machine learning. From Linear Algebra and its Python applications, we're shifting gears to explore Probability! 📊🔍 let's take a step toward understanding the role of probability in shaping decision-making in algorithms. Today, we cover -  ✅ Basic Probability Concepts ✅ Types of Events (Independent, Dependent, and Mutually Exclusive) ✅ Theoretical vs. Empirical Probability https://lnkd.in/d93UFK7z #Probability #DataScience #AI #ML #Research #LearningJourney #MathForML #Raven-R

Dive into the heart of technological singularity and AI advancements with your insights. 💡 Submit your papers now and share the stage with leading minds like Raymond Hettinger and Marlene Mhangami in Tallinn this September. This year, we spotlight the technological singularity and Python's accelerating role in AI and machine learning. Visit pycon.ee for more information on submission guidelines and deadlines. Be part of the conversation that shapes the future of technology – submit your papers today! #CallForPapers #PyconEstonia2024 #Pycon #PythonProgramming

🎓 Excited to announce a new achievement in my professional development! 🎓 I am thrilled to have successfully completed and received a passing grade in 6.86x: Machine Learning with Python - From Linear Models to Deep Learning offered by MITx through edX. This course has been an incredible opportunity to deepen my understanding of machine learning, and I'm excited to apply these concepts in real-world scenarios. Thank you to the Massachusetts Institute of Technology (MIT) and all the professors for this valuable learning experience. 🚀 Looking forward to continuing my journey in AI and Machine Learning! #MachineLearning #MITx #DeepLearning #Python #ArtificialIntelligence #LifelongLearning #edX #DataScience #TechSkills #MIT #AI

3rd International Conference of UG Students ICUS 2024 Organized by Soft Computing Research Society Data Driven Decision Making: A Python based machine learning workshop I am grateful to have learned from experts in Fuzzy Systems, Machine Learning, Deep Learning, and Computer Vision Dr. Praveen Kumar Shukla. Their practical insights and theoretical expertise provided a well-rounded learning experience. Certificate link:-https://lnkd.in/gP8N26rg #DataScience  #LearningJourney  #Gratitude  #machinelearning #datascientist #python #ai ,

🚀 Exciting Update: Day 24 of my Machine Learning Journey! 🤖 Today, I delved into the fascinating world of Gradient Descent in Machine Learning. 🌐 Understanding how this powerful optimization technique fine-tunes models has been mind-blowing. 🧠💡 Learning about Gradient Descent is crucial for anyone in #DataScience, #MachineLearning, or #AI. It's like finding the North Star in our quest for smarter algorithms! 🌟 #DataEngineering #ArtificialIntelligence #ChatGPT #CampusX #Python #SoftwareEngineering #Coding Can't wait to apply this knowledge in real-world projects! Let's keep learning and growing together. 💪