Search the Community

HI everyone , collection of lessons are uploaded in google drive , I am not uploaded them . -Hadoop Fundamentals -Cybersecurity Collection -Machine Learning for Apps -Advanced React and Redux -Web Developer Nanodegree -Computer Vision Nanodegree -Millionaire DJ FL Studio 12 - Pro Music Production Course -Pentester Academy - x86 Assembly Language and Shellcoding on Linux -Kali linux - Complete Training Program from Scratch course -Complete Machine Learning and Data Science Zero to Mastery -Python Ethical Hacking Build tools for ethical hacking -Deep Learning With TensorFlow Video -Bug Bounty Hunting Guide to an Advanced Earning Method -Build Responsive Real World Websites with HTML5 and CSS3 -Deep Reinforcement Learning Nanodegree v1.0.0 -The Complete ASP.NET MVC 5 Course -The Python Mega Course Build 10 Real World Applications -Learn Python & Ethical Hacking From Scratch -Learn Ethical Hacking From Scratch -Photoshop CC In an Easy Simple Professional Way -Learn Python & Ethical Hacking From Scratch -The Python Mega Course Build 10 Real World Applications -Learn Python & Ethical Hacking From Scratch -Learn Ethical Hacking From Scratch -Photoshop CC In an Easy Simple Professional Way -Learn Python & Ethical Hacking From Scratch -Website Hacking Course 2018 Earn Money by doing Bug Bounty -Deep Learning Nanodegree Program -Linux Foundation Certified Engineer (2019) -Ethical Hacking With Python, JavaScript and Kali Linux -Natural Language Processing Nanodegree v1.0.0 -Python for Finance Investment Fundamentals & Data Analytics -AZ-103 AZ-104 Azure Administrator Exam Certification 2020 -CSS - The Complete Guide 2020 (incl. Flexbox, Grid Sass) -AWS Certified Solutions Architect - Associate 2020 -Google Data Studio A-Z for Data Visualization and Dashboards Hadoop Fundamentals [hide][Hidden Content]] Cybersecurity Collection [hide][Hidden Content]] Machine Learning for Apps [hide][Hidden Content]] Advanced React and Redux [hide][Hidden Content]] Web Developer Nanodegree [hide][Hidden Content]] Computer Vision Nanodegree [hide][Hidden Content]] Millionaire DJ FL Studio 12 - Pro Music Production Course [hide][Hidden Content]] Pentester Academy - x86 Assembly Language and Shellcoding on Linux [hide][Hidden Content]] Kali linux - Complete Training Program from Scratch course [hide][Hidden Content]] Complete Machine Learning and Data Science Zero to Mastery [hide][Hidden Content]] Python Ethical Hacking Build tools for ethical hacking [hide][Hidden Content]] Deep Learning With TensorFlow Videos [hide][Hidden Content]] Bug Bounty Hunting Guide to an Advanced Earning Method [hide][Hidden Content]] Build Responsive Real World Websites with HTML5 and CSS3 [hide][Hidden Content]] Deep Reinforcement Learning Nanodegree v1.0.0 [hide][Hidden Content]] The Complete ASP.NET MVC 5 Course [hide][Hidden Content]] The Python Mega Course Build 10 Real World Applications [hide][Hidden Content]] Learn Python & Ethical Hacking From Scratch [hide][Hidden Content]] Learn Ethical Hacking From Scratch [hide][Hidden Content]] Photoshop CC In an Easy Simple Professional Way [hide][Hidden Content]] Learn Python & Ethical Hacking From Scratch [hide][Hidden Content]] Website Hacking Course 2018 Earn Money by doing Bug Bounty [hide][Hidden Content]] Deep Learning Nanodegree Program [hide][Hidden Content]] Linux Foundation Certified Engineer (2019) [hide][Hidden Content]] Ethical Hacking With Python, JavaScript and Kali Linux [hide][Hidden Content]] Natural Language Processing Nanodegree v1.0.0 [hide][Hidden Content]] Python for Finance Investment Fundamentals & Data Analytics [hide][Hidden Content]] AZ-103 AZ-104 Azure Administrator Exam Certification 2020 [hide][Hidden Content]] CSS - The Complete Guide 2020 (incl. Flexbox, Grid Sass) [hide][Hidden Content]] AWS Certified Solutions Architect - Associate 2020 [hide][Hidden Content]] Google Data Studio A-Z for Data Visualization and Dashboards [hide][Hidden Content]]

Table of contents Introduction Data Structures, Algorithms, and Machine Learning Optimization: Introduction Lesson 1: Orientation to Data Structures and Algorithms Topics 1.1 Orientation to the Machine Learning Foundations Series 1.2 A Brief History of Data 1.3 A Brief History of Algorithms 1.4 Applications to Machine Learning Lesson 2: “Big O” Notation Topics 2.1 Introduction 2.2 Constant Time 2.3 Linear Time 2.4 Polynomial Time 2.5 Common Runtimes 2.6 Best versus Worst Case Lesson 3: List-Based Data Structures Topics 3.1 Lists 3.2 Arrays 3.3 Linked Lists 3.4 Doubly-Linked Lists 3.5 Stacks 3.6 Queues 3.7 Deques Lesson 4: Searching and Sorting Topics 4.1 Binary Search 4.2 Bubble Sort 4.3 Merge Sort 4.4 Quick Sort Lesson 5: Sets and Hashing Topics 5.1 Maps and Dictionaries 5.2 Sets 5.3 Hash Functions 5.4 Collisions 5.5 Load Factor 5.6 Hash Maps 5.7 String Keys 5.8 Hashing in ML Lesson 6: Trees Topics 6.1 Introduction 6.2 Decision Trees 6.3 Random Forests 6.4 XGBoost: Gradient-Boosted Trees 6.5 Additional Concepts Lesson 7: Graphs Topics 7.1 Introduction 7.2 Directed versus Undirected Graphs 7.3 DAGs: Directed Acyclic Graphs 7.4 Additional Concepts 7.5 Bonus: Pandas DataFrames 7.6 Resources for Further Study of DSA Lesson 8: Machine Learning Optimization Topics 8.1 Statistics versus Machine Learning 8.2 Objective Functions 8.3 Mean Absolute Error 8.4 Mean Squared Error 8.5 Minimizing Cost with Gradient Descent 8.6 Gradient Descent from Scratch with PyTorch 8.7 Critical Points 8.8 Stochastic Gradient Descent 8.9 Learning Rate Scheduling 8.10 Maximizing Reward with Gradient Ascent Lesson 9: Fancy Deep Learning Optimizers Topics 9.1 Jacobian Matrices 9.2 Second-Order Optimization and Hessians 9.3 Momentum 9.4 Adaptive Optimizers 9.5 Congratulations and Next Steps Summary Data Structures, Algorithms, and Machine Learning Optimization: Summary [Hidden Content]

Please share the latest and valid AWS Certified Machine Learning - Specialty dump. Which dump is the best for these exam?

[Hidden Content]