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Free Download Natural Language Processing With Cutting Edge Models Published 10/2024 Created by Zeeshan Ahmad MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 195 Lectures ( 27h 6m ) | Size: 9.2 GB NLP : NLTK, Machine and Deep Learning for NLP, Word Embeddings, Markov Model, Transformers, Generative AI for text What you'll learn Text Preprocessing and Text Vectorization Machine Learning Methods for Text Classification Neural Networks for Text Classification Sentiment Analysis and Spam Detection Topic Modeling Word Embeddings and Neural Word Embeddings Word2Vec and GloVe Generative AI for Text data Markov Models for Text Generation Recurrent Neural Networks and LSTM Seq2Seq Networks for Text Generation Machine Translation Transformers Requirements Some Python Programming Knowledge Some knowledge about machine learning is preferred Description Hi everyone,This is a massive 3-in-1 course covering the following:1. Text Preprocessing and Text Vectorization2. Machine Learning and Statistical Methods3. Deep Learning for NLP and Generative AI for text.This course covers all the aspects of performing different Natural Language processing using Machine Learning Models, Statistical Models and State of the art Deep Learning Models such as LSTM and Transformers.This course will set the foundation for learning the most recent and groundbreaking topics in AI related Natural processing tasks such as Large Language Models, Diffusion models etc.This course includes the practical oriented explanations for all Natural Language Processing tasks with implementation in PythonSections of the Course· Introduction of the Course· Introduction to Google Colab· Introduction to Natural Language Processing· Text Preprocessing· Text Vectorization· Text Classification with Machine Learning Models· Sentiment Analysis· Spam Detection· Dirichlet Distribution· Topic Modeling· Neural Networks· Neural Networks for Text Classification· Word Embeddings· Neural Word Embeddings· Generative AI for NLP· Markov Model for Text Generation· Recurrent Neural Networks ( RNN )· Sequence to sequence Networks· Transformers· Bidirectional LSTM· Python RefresherWho this course is for:· Students enrolled in Natural Language processing course.· Beginners who want to learn Natural Language Processing from fundamentals to advanced level· Researchers in Artificial Intelligence and Natural Language Processing.· Students and Researchers who want to develop Python Programming skills while solving different NLP tasks.· Want to switch from Matlab and Other Programming Languages to Python. Who this course is for Students enrolled in Natural Language processing course. Beginners who want to learn Natural Language Processing from fundamentals to advanced level Researchers in Artificial Intelligence and Natural Language Processing. Students and Researchers who want to develop Python Programming skills while solving different NLP tasks. 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Die-cutting Essentials - Issue 122 2024 English | 84 pages | PDF | 72.1 MB Die Cutting Essentials is the UK's number one die- cutting and embossing magazine. Launched specifically to meet the demand, this is a one of a kind magazine. [img=https://ddownload.com/images/promo/banner_240-32.png] https://ddownload.com/i0c17fgbgl59 https://rapidgator.net/file/01b9fd3564ea9ce77954ead28bf925c6/ https://turbobit.net/kp1lcs9jj66l.html FileAxa_IMAGE https://fileaxa.com/1umiof8r1rut

Die-cutting Essentials - Issue 121 2024 English | 84 pages | PDF | 72.1 MB Die Cutting Essentials is the UK's number one die- cutting and embossing magazine. Launched specifically to meet the demand, this is a one of a kind magazine. [img=https://ddownload.com/images/promo/banner_240-32.png] https://ddownload.com/6bj0ftzpj5tv https://rapidgator.net/file/09bbd8ee099d4cd6028cf2e2b7097fa9/ https://turbobit.net/zo2x9u4uja8w.html

Free Download Facebook Ads 2025 - Mastering Cutting-Edge Strategies Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.54 GB | Duration: 3h 0m Master advanced Facebook and Meta ads strategies, optimize campaigns, scale efficiently, and dominate 2025 marketing. What you'll learn Advance Facebook Ads settings you are probably missing. Advanced Facebook Ads strategies to ensure you succeed in every industry. Facebook Ads strategies works in 2025. How to creatives that will improve your ROAS. Latest advertising tactics advertising agencies use for their clients in 2025. Requirements Basic Facebook Ads knowledge and at least 3 months experience in ads manager. Internet access. Ability to focus and implement learnings. Description Ready to Dominate the Future of Facebook Ads?If you're serious about scaling your business and mastering the latest strategies in the world of Facebook advertising, then this is the course for you. The Advanced Facebook Ads Course is designed to give you the exact blueprint that will take you from knowing the basics to becoming a top-tier ads master in 2025.Forget what you think you know about Facebook Ads. The landscape has changed. Lookalikes are dying, interest-based targeting is less reliable, and what used to work is becoming obsolete. Our Meta Ads Course for Advanced Marketers will show you exactly how to adapt, stay ahead, and thrive.What's the Future of Facebook Ads?Let's cut right to the chase-Facebook is changing fast. The way we run ads is evolving, and you need to stay ahead of the game. In the Advanced Facebook Ads Course, we dive deep into where Facebook is heading. Here's a glimpse of what you'll learn:How creative-focused strategies are now the key to success.Why interest targeting is only 40-50% accurate and how to overcome that.The slow death of lookalike audiences-and what's replacing them.Sounds intense? It is. But don't worry-we've got you covered every step of the way.The Learning Phase: Your New Best FriendIf you've ever run a Facebook ad, you know about the learning phase. But did you know that it's becoming more important than ever? In the Meta Ads Course for Advanced Marketers, we show you how to navigate this phase like a pro.Here's the deal:The Last Significant Edit rule means that you need to get 50 optimization events within 7-10 days. We'll show you how to hit that mark every time.Learn why making changes to your ad set, like pausing it or tweaking your audience, can send you back into the learning phase-and how to avoid it.Get the inside scoop on the new requirement: 10 conversions in 3 days since your last significant edit. This is critical to keep your ads optimized and profitable.By the end of this module, you'll understand the learning phase inside and out-and you'll use it to your advantage every single time.Optimization Settings: Stop Wasting Time & MoneyIf you're not using the right settings, your ads will fail. Period. In this section of the Advanced Facebook Ads Course, we'll teach you how to tweak your optimization settings to ensure maximum return on investment (ROI).Here's what we cover:Choosing the best conversion location to drive the most sales.Setting the right performance goals to guide your ad success.Mastering the art of choosing the right conversion event for your ads.This is the stuff that separates the amateurs from the pros. By optimizing these settings, you'll stop wasting money on ads that don't convert.Mastering Advanced Audience Targeting: The Secret to Winning AdsIt's no longer enough to just throw an audience together and hope for the best. In this section of the Meta Ads Course for Advanced Marketers, we'll teach you how to dominate audience targeting, including:Broad targeting: Why it's sometimes the best option and when to use it.Using your website, app, and CRM data to create bulletproof audiences.How to narrow down your audience effectively without overdoing it.The difference between original audiences and adv+ audiences (and how to use both).The power of Meta-hosted events and how to harness them to skyrocket your ad results.By mastering advanced audience targeting, you'll be able to build audiences that convert again and again-without the guesswork.Retargeting Strategies: Out with the Old, In with the NewForget what you know about retargeting. The old way of doing it is dead. In this section, we'll break down the new way to retarget that is working in 2025:How to identify the right frequency for your retargeting ads.Creative strategies that are killing it in retargeting-these aren't your average ads.The key differences between the old way of retargeting and what works now.You'll learn how to bring back your customers and get them to take action, whether that's completing a purchase, signing up for a service, or booking a call.Creative Strategy: The Make-or-Break Factor in 2025Your creative is more important than ever. UGC (user-generated content) is on its way out, and the ads that perform the best today are strategic, problem-aware creatives that speak directly to your audience. Here's what we cover in this section:Creative strategies that work in today's environment.How to stay ahead of trends that are delivering insane results.A deep dive into static ads-yes, they still work, and we'll show you how.How many creatives you need in one ad set for maximum success.The ultimate creative testing strategy-you'll know exactly how to test, track, and scale winning creatives.If you're tired of guessing which creatives will perform, this module will change the way you approach your ads forever.Scaling Strategies: One Size Doesn't Fit AllScaling isn't about just throwing more money at your ads. It's about having a strategy that works at every budget level. Whether you're spending $100 a day or $10,000 a day, this module will teach you how to scale effectively, including:The exact steps for scaling your budget without ruining your ROI.How to recognize when you're ready to scale (and when you're not).Techniques for scaling broad campaigns, retargeting campaigns, and lookalike audiences (while they still work).Scaling takes precision, and this is the module that will show you how to do it right.Why This Course Is Perfect for YouYou've been running Facebook ads for a while now. You've seen some success, but you know you could be doing so much more. This Advanced Facebook Ads Course is your next step. We've packed it full of cutting-edge strategies that will give you the tools, confidence, and know-how to dominate Meta's ad platform in 2025 and beyond.This course is perfect for:Digital marketers ready to take their Facebook ads to the next level.Small business owners looking to scale their online presence.Entrepreneurs who want to master the art of Facebook and Meta ads.Marketing professionals who need to stay on top of the latest strategies.What You Get When You Enroll Today:Lifetime access to all course materials, updates, and new lessons.Real-world examples and case studies showing how advanced strategies work.Exclusive bonus materials on scaling, audience building, and creative testing.Access to our private Facebook group where you can get direct feedback from industry experts.Ready to Get Started?If you're ready to stop guessing and start mastering Facebook ads, this Meta Ads Course for Advanced Marketers is your ticket to success. Join today and get the knowledge you need to crush your goals in 2025 and beyond.Sign up now and let's get started! Overview Section 1: Welcome to Facebook Ads 2025: Mastering Cutting-Edge Strategies Lecture 1 Welcome to the Facebook Ads 2025: Mastering Cutting-Edge Strategies Lecture 2 Where Facebook Ads Are Going? Lecture 3 Facebook Ads Creatives in 2025 Lecture 4 Facebook Ads Interest Targeting Lecture 5 Facebook Ads Lookalikes, are they still valid? Section 2: Facebook Ads Learning Phase in 2025 Lecture 6 What is new in the Learning Phase? Lecture 7 How to Leverage the Learning Phase Section 3: Optimizations Settings People Miss Lecture 8 Conversion Location Lecture 9 Performance Goal Lecture 10 Optimization Event Section 4: Mastering Advanced Audience Targeting | Advanced Strategies Lecture 11 Facebook Ads Audience Controls Lecture 12 Facebook Ads Broad Targeting Lecture 13 Facebook Ads Custom Audiences Lecture 14 Narrowing Down Audiences in Facebook Ads in 2025 Lecture 15 Difference Between Adv+ Audiences and Original Audiences Section 5: Meta Retargeting Strategies Lecture 16 Old way vs New Way Lecture 17 Frequency to Watch out For Lecture 18 Best Creative Styles That Work in Retargeting Section 6: Creative Strategy Lecture 19 How I Approach Creative Strategy Lecture 20 Ad Analysis Lecture 21 The Death of UGC Lecture 22 Trends That Are Driving Insane Results Lecture 23 Number of Creatives in One Ad Set Section 7: Meta Ads Scaling & Creative Testing Lecture 24 Scaling Facebook Ads in 2025 Digital marketers looking to enhance their Facebook Ads strategies.,Marketing professionals seeking to master Meta Ads across Facebook and Instagram.,Social media managers aiming to improve ad performance and audience targeting.,Business owners who want to scale Facebook Ads for lead generation and sales.,Ecommerce marketers interested in increasing sales through Facebook Ads.,Advertising specialists seeking to optimize ad spend and improve ROAS.,Marketing agencies offering Facebook and Meta Ads services to clients.,Freelance marketers who want to specialize in Facebook advertising.,Brand managers needing advanced skills in retargeting campaigns and dynamic ads.,Professionals in charge of managing large ad budgets for Facebook campaigns.,PPC (Pay-Per-Click) specialists aiming to integrate Facebook Ads into their offerings.,Growth marketers looking to scale Meta Ads across Facebook, Instagram, and Messenger.,Conversion rate optimization (CRO) experts wanting to drive higher CTRs through Facebook Ads.,Data-driven marketers interested in advanced Facebook Ads analytics and attribution models.,Entrepreneurs eager to launch and manage Facebook Ads for new product launches.,Marketing directors overseeing paid social and Facebook ad strategy within their teams.,Retail marketers focused on optimizing catalog ads and driving ecommerce revenue.,Content creators looking to monetize their audience through advanced Meta ad strategies.,B2B marketers leveraging Facebook Ads to target niche industries and audiences. 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Free Download Advanced AI Programming - Mastering Cutting-Edge Techniques Published 9/2024 Duration: 42m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.17 GB Genre: eLearning | Language: English This course is designed for experienced programmers who want to deepen their understanding of advanced AI techniques and What you'll learn Master Advanced Techniques: Gain expertise in advanced machine learning, deep learning, and reinforcement learning techniques. Implement Cutting-Edge Models: Learn how to build, train, and fine-tune state-of- the-art models including CNNs, GANs, and Transformers Deploy AI Systems: Understand how to deploy scalable AI solutions in production environments Ethical AI Practices: Explore the ethical implications and best practices for responsible AI Design and Implement AI Architectures: Learn to design and implement complex AI architectures tailored to specific applications Optimize AI Performance on Various Platforms: Gain skills in optimizing AI models for performance across different computing environments Leverage Transfer Learning and Pre-trained Models: Understand and apply transfer learning techniques and leverage pre-trained models to enhance the efficiency Explore Emerging Trends in AI Research: Stay updated on the latest advancements and research trends in AI Conduct Independent AI Research and Development: Build the capability to conduct independent research and development in AI Requirements Solid understanding of basic programming concepts (preferably in Python). Experience with fundamental machine learning and AI concepts. Familiarity with basic algorithms and data structures. Understanding of Data Management and Preprocessing Description Welcome to "Advanced AI Programming: Mastering Cutting-Edge Techniques"! This course is designed for experienced programmers who want to deepen their understanding of advanced AI techniques and apply them to real-world problems. Whether you're looking to enhance your skills in machine learning, deep learning, or reinforcement learning, this course provides a comprehensive, hands-on approach to mastering these technologies. Objectives and Goals Master Advanced Techniques Gain expertise in advanced machine learning, deep learning, and reinforcement learning techniques. Implement Cutting-Edge Models Learn how to build, train, and fine-tune state-of-the-art models including CNNs, GANs, and Transformers. Deploy AI Systems Understand how to deploy scalable AI solutions in production environments. Ethical AI Practices Explore the ethical implications and best practices for responsible AI. Target Audience Prerequisites Solid understanding of basic programming concepts (preferably in Python). Experience with fundamental machine learning and AI concepts. Familiarity with basic algorithms and data structures. Who Should Take This Course Data Scientists looking to expand their expertise. Machine Learning Engineers aiming to improve their advanced modeling skills. AI Researchers interested in exploring the latest advancements in the field. Developers and engineers with a strong programming background who want to delve into advanced AI applications. Course Structure The course is divided into eight comprehensive sections, each focusing on a specific area of advanced AI Introduction : Get an overview of the course, understand the relevance of advanced AI, and set up your development environment. Advanced Machine Learning Techniques : Dive into ensemble methods, hyperparameter tuning, and model evaluation to enhance your machine learning capabilities. Deep Learning Mastery : Explore advanced neural network architectures, transfer learning, and generative models to build sophisticated deep learning systems. Reinforcement Learning : Learn the fundamentals and advanced algorithms of reinforcement learning, and apply them to real-world scenarios. AI System Design : Understand how to design and scale AI systems, deploy models, and manage AI infrastructure. Ethical and Responsible AI : Discuss the ethical considerations of AI, including bias, fairness, and privacy concerns. Cutting-Edge Topics : Explore emerging topics like quantum computing and AI for edge computing, and their implications for the future. Hands-On Projects : Apply your knowledge through practical projects, including image classification, reinforcement learning applications, and building scalable AI services. Learning Approach Theory and Practice Each section combines theoretical concepts with practical, hands-on exercises. Projects and Case Studies Real-world projects and case studies are included to solidify your understanding and showcase your skills. Interactive Quizzes Assess your knowledge and track your progress with interactive quizzes and exercises. Tools and Resources Development Environment Detailed setup instructions for tools such as Python, TensorFlow, PyTorch, and Jupyter Notebooks. Key Libraries and Frameworks Introduction to essential libraries and frameworks used throughout the course. Additional Resources Links to supplementary materials, research papers, and recommended readings. Who this course is for Data Scientists looking to expand their expertise. Machine Learning Engineers aiming to improve their advanced modeling skills. AI Researchers interested in exploring the latest advancements in the field. 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