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Star Soundevice Digital Randomachine v1.1
Posted by: bingbing88 - Yesterday, 02:41 PM - Forum: Windows Applications - No Replies

[Image: 38e23da706a0620b61a73403eb4ba315.webp]
Free Download Soundevice Digital Randomachine v1.1 | 12.8 MB
Precise and perfect are not always desired. Sometimes, you need to apply little imperfections to your samples to make your creation sound real and alive. Whether those are steps, gunshots, or hi-hat hits, it doesn't matter. Do you want subtle differences or massive changes? Randomachine can cover any needs you may have. Copy-pasted and repeated samples can sound unique.

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Star Music Developments Syne v1.5.2
Posted by: bingbing88 - Yesterday, 02:40 PM - Forum: Windows Applications - No Replies

[Image: 9eb249c6aa807cd7f2790a0d19d788aa.webp]
Free Download Music Developments Syne v1.5.2 | 15.4 Mb
Syne is a modular additive synthesizer with a beautiful analog sound and extreme flexibility with microtuning and MPE support.

Introducing Syne, the most powerful and flexible modular additive synthesizer.
Syne is a fully modular additive synthesizer capable of rendering more than 70000 partials realtime on a recent CPU (=powerful) while having full control over each partial (=flexible). This allows making complex sounds that are not possible with other types of synthesis.
Cleanest possible analog sound
There is only one thing better than having a good antialiasing filter: when you don't need one. Additive synthesis is trivially bandlimited simply by not generating harmonics higher than half the sampling rate. Syne provides the cleanest sound possible, suitable for electronic music.
Extreme flexibility
Create any moving filters that you'd like without limitations of the PCM filter design! Assign any MIDI CC's, time or automation to any parameters. Set up LFO rate and depth as a function of frequency, so that each partial has its own setting. Use different decay for each partial. Almost anything is possible.
Wavetable import
The wavetables are not just spectral interpolated, but kept in the spectral domain all the time during synthesis. Generate a random wavetable for a single click in the Wave Morpher. In Syne you can use non-harmonic partials in wavetables which is not possible in a wavetable synthesizer.
30+ modules included
All the modules work on hundreds or thousands of sinusoidal oscillators. This is very different from PCM modular synthesis because it allows effects that are not possible with a PCM signal. Make great sounds with just 3-4 modules! Combine simple waveforms together to create complex sounds. Modules can store presets that you can recall anytime.
Preset generation and mutation
It is possible to generate new presets or mutate existing presets by a percentage, with many options.
Simple user interface
We made the UI as simple as possible. Instead of having hundreds of knobs and junctions for a usual modular synth, using Syne is simple and straightforward. Zooming in is smooth and will show more details. Font size and all colors of the UI are adjustable.
Small and efficient
Additive synthesis is very processor intensive. Calculating each sound sample requires summing hundreds or thousands of oscillators depending on the sound complexity and polyphony. We developed a highly efficient engine capable of rendering 20000 partials on an older processor that supports SSE3, and over 70000 on a newer processor with AVX2 support.
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Star JMGSound DarkFire v1.1
Posted by: bingbing88 - Yesterday, 02:40 PM - Forum: Windows Applications - No Replies

[Image: 72a5c57b0ad3abab793454d1c1a6a4ba.webp]
Free Download JMGSound DarkFire v1.1 | 13 MB
We all know and love the sound that saturation adds to audio, but have you ever wanted to take COMPLETE creative control over exactly WHAT is added? Well, now you can! DarkFire enables you to sculpt only the added harmonics before layering them back with your original signal. This makes Darkfire an extremely flexible enhancer that adds excitement, movement, depth, and colour to your sounds. Whether you're adding low-end punch and warmth to a kick or bass, high-end width and sparkle to a vocal or guitar, or enhancement and richness to the whole mix. Darkfire makes ANY sound more exciting.

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  Learn Python Programming: A Beginner Journey
Posted by: AD-TEAM - Yesterday, 02:36 PM - Forum: Video Tutorials - No Replies

[Image: a83c6274812e787ba71ef25073c9c0f8.jpg]
Learn Python Programming: A Beginner Journey
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 858.84 MB | Duration: 2h 48m

Learn Python step by step with hands-on exercises. Master data types, loops, decision-making, and string manipulation

[b]What you'll learn[/b]

Understand and work with Python's numeric, string, and boolean data types.

Perform arithmetic operations and type conversions in Python programs.

Use `if', `if-else', and `if-elif-else' statements for decision-making in Python.

Apply logical and comparison operators to evaluate conditions effectively.

Write Python programs using`for' and `while' loops for repetitive tasks.

Control loop behavior with `break', `continue', and `nested' loops.

Manipulate strings using indexing, slicing, and built-in string methods.

Combine, replace, and search for substrings in Python string operations.

[b]Requirements[/b]

No prior programming experience is required. This course is designed for complete beginners, and you will learn everything you need step by step.

[b]Description[/b]

Are you eager to learn programming but don't know where to start? This beginner-friendly course is the perfect introduction to Python, one of the most popular and versatile programming languages. With no prior experience required, this course will guide you step by step, helping you build a strong foundation in Python programming through clear explanations and hands-on exercises.What you'll learn in this courseTongueython basics: Understand and work with data types like numbers, strings, and booleans.Decision-making in programs: Learn to write conditional statements such as if, if-else, and if-elif-else.Loops made simple: Master the use of for and while loops to perform repetitive tasks efficiently.String manipulation: Explore indexing, slicing, and applying Python's powerful string methods.Throughout the course, you'll engage in practical coding exercises designed to reinforce each concept. Whether you're a student, a professional looking to switch careers, or a hobbyist curious about coding, this course will provide you with the tools and knowledge needed to start programming confidently.Why enroll in this course?No prior experience required: It's designed for absolute beginners.Hands-on practice: Coding exercises after each lesson to solidify your understanding.Step-by-step approach: Clear explanations to guide you from the basics to more advanced topics.By the end of this course, you'll be able to write Python programs and have a solid understanding of core programming concepts. Take the first step in your programming journey today!

Overview

Section 1: Coding environment

Lecture 1 Python using Google Colab

Section 2: Python data types (Part 1: numeric data types)

Lecture 2 Numeric data types (int and float)

Lecture 3 Strings

Lecture 4 Coding exercise #1: Reading input from users

Lecture 5 Coding exercise #2: Variable type checking using `type()' function

Lecture 6 Coding exercise #3: Type conversion

Lecture 7 Coding exercise #4: Basic arithmetic operations (+, -, *, /)

Lecture 8 Coding exercise #5: Modulus Operator (%)

Lecture 9 Coding exercise #6: Floor division (//)

Section 3: Python data types (Part 2: boolean data types)

Lecture 10 Introduction to boolean data types (true and false)

Lecture 11 Coding exercise #7: Boolean expressions

Lecture 12 Coding exercise #7: Truthy and Falsy values

Lecture 13 Coding exercise #8: Boolean basics

Lecture 14 Coding exercise #9: A simple comparison

Lecture 15 Coding exercise #10: Logical operators

Section 4: Python data types (Part 3: string data types)

Lecture 16 Strings (single and double quotes)

Lecture 17 Coding exercise #11: To combine two strings

Lecture 18 Coding exercise #12: To calculate a string length

Lecture 19 Coding exercise #13: String indexing

Lecture 20 Coding exercise #14: String slicing

Lecture 21 Coding exercise #15: Converting case

Lecture 22 Coding exercise #16: Replace function

Lecture 23 Coding exercise #17: Combine the exercises

Lecture 24 Coding exercise #18: Checking substrings

Section 5: Conditional statements

Lecture 25 The if Statement

Lecture 26 Coding exercise #19: The if-else Statement

Lecture 27 Coding exercise #20: The if-elif-else Statement

Lecture 28 Coding exercise #21: Nested Conditional Statements

Lecture 29 Coding exercise #22: If statement using logical operations

Lecture 30 Coding exercise #23: If statement using comparison operators

Lecture 31 Coding exercise #24: Conditional statement with logical operators

Section 6: Loops - control flow

Lecture 32 For Loops

Lecture 33 Coding exercise #25: While Loops

Lecture 34 Coding exercise #26: Break Statement

Lecture 35 Coding exercise #27: Continue Statement

Lecture 36 Coding exercise #28: Nested Loops

Lecture 37 Coding exercise #29: Sum of all numbers between 1 and 10

Lecture 38 Coding exercise #30: Multiplication table

Beginners with no prior programming experience who want to learn Python.,Students looking to build a strong foundation in Python programming.,Professionals interested in transitioning to a tech or programming-related career.,Hobbyists curious about coding and problem-solving using Python.,Anyone seeking a step-by-step introduction to Python concepts and practical coding exercises.

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  AWS Certified Machine Learning Specialty (2025) - Hands On!
Posted by: AD-TEAM - Yesterday, 02:34 PM - Forum: Video Tutorials - No Replies

[Image: 537368816_que-es-udemy-analisis-opiniones.jpg]
3.54 GB | 19min 22s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 Udemy 101.mp4 (3.65 MB)
03 Course Introduction What to Expect.mp4 (26.71 MB)
04 Get the Course Materials.mp4 (8.07 MB)
01 Section Intro Data Engineering.mp4 (11.72 MB)
02 [Important] AWS Console UI Update.mp4 (7.22 MB)
03 Set up an AWS Billing Alarm.mp4 (6.08 MB)
04 Amazon S3 - Overview.mp4 (29.22 MB)
05 Amazon S3 Storage Classes + Glacier.mp4 (27.56 MB)
06 Amazon S3 Storage + Glacier - Hands On.mp4 (21.64 MB)
07 Amazon S3 Lifecycle Rules (with S3 Analytics).mp4 (11.53 MB)
08 Amazon S3 Lifecycle Rules - Hands On.mp4 (17.55 MB)
09 Amazon S3 - Bucket Policy.mp4 (8.51 MB)
10 Amazon S3 - Bucket Policy Hands On.mp4 (8.68 MB)
11 Amazon S3 - Encryption.mp4 (13.95 MB)
12 Amazon S3 - Encryption Hands On.mp4 (33.69 MB)
13 Amazon S3 - Default Encryption.mp4 (2.94 MB)
14 Amazon S3 - VPC Endpoints.mp4 (2.77 MB)
15 Amazon Kinesis Data Streams.mp4 (7.75 MB)
16 Amazon Data Firehose.mp4 (8.47 MB)
17 Lab 1 1 - Amazon Data Firehose.mp4 (37.68 MB)
18 Amazon Managed Service for Apache Flink.mp4 (3.71 MB)
19 Lab 1 2 - Managed Service for Apache Flink (Formely Kinesis Data Analytics).mp4 (42.85 MB)
20 Managed Service for Apache Flink and Lambda.mp4 (7.98 MB)
21 Kinesis Video Streams.mp4 (6.66 MB)
22 Kinesis ML Summary.mp4 (2.5 MB)
23 Glue Data Catalog & Crawlers.mp4 (5.56 MB)
24 Lab 1 3 - Glue Data Catalog.mp4 (25.31 MB)
25 Glue ETL.mp4 (4.67 MB)
26 Lab 1 4 - Glue ETL.mp4 (50.23 MB)
27 Glue Data Brew.mp4 (2.2 MB)
28 Lab 1 5 - Glue Data Brew.mp4 (69.29 MB)
29 Lab 1 6 - Athena.mp4 (12.95 MB)
30 Lab 1 - Cleanup.mp4 (9.12 MB)
31 AWS Data Stores in Machine Learning.mp4 (6.7 MB)
32 AWS Data Pipelines.mp4 (6.31 MB)
33 AWS Batch.mp4 (4.05 MB)
34 AWS DMS - Database Migration Services.mp4 (4.45 MB)
35 AWS Step Functions.mp4 (6.76 MB)
36 Full Data Engineering Pipelines.mp4 (11.26 MB)
37 Random things you need to know AWS DataSync and MQTT.mp4 (6.57 MB)
01 Section Intro Data Analysis.mp4 (20.59 MB)
02 Python in Data Science and Machine Learning.mp4 (23.92 MB)
03 Example Preparing Data for Machine Learning in a Jupyter Notebook.mp4 (76.89 MB)
04 Types of Data.mp4 (23.21 MB)
05 Data Distributions.mp4 (11.48 MB)
06 Time Series Trends and Seasonality.mp4 (8.49 MB)
07 Introduction to Amazon Athena.mp4 (14.53 MB)
08 Overview of Amazon Quicksight.mp4 (28.25 MB)
09 Types of Visualizations, and When to Use Them.mp4 (25.02 MB)
10 Elastic MapReduce (EMR) and Hadoop Overview.mp4 (16.39 MB)
11 Apache Spark on EMR.mp4 (18.15 MB)
12 EMR Notebooks, Security, and Instance Types.mp4 (29.75 MB)
13 Feature Engineering and the Curse of Dimensionality.mp4 (22.95 MB)
14 Imputing Missing Data.mp4 (27.29 MB)
15 Dealing with Unbalanced Data.mp4 (23.66 MB)
16 Handling Outliers.mp4 (39.84 MB)
17 Binning, Transforming, Encoding, Scaling, and Shuffling.mp4 (42.09 MB)
18 Amazon SageMaker Ground Truth and Label Generation.mp4 (17.17 MB)
19 Lab Preparing Data for TF-IDF with Spark and EMR Studio, Part 1.mp4 (24.76 MB)
20 Lab Preparing Data for TF-IDF with Spark and EMR Studio, Part 2.mp4 (151.47 MB)
01 Section Intro Modeling.mp4 (30.46 MB)
02 Introduction to Deep Learning.mp4 (31.13 MB)
03 Activation Functions.mp4 (23.43 MB)
04 Convolutional Neural Networks.mp4 (50.39 MB)
05 Recurrent Neural Networks.mp4 (36.66 MB)
06 Modern NLP with BERT and GPT, and Transfer Learning.mp4 (27.04 MB)
07 Deep Learning on EC2 and EMR.mp4 (13.28 MB)
08 Tuning Neural Networks.mp4 (10.78 MB)
09 Regularization Techniques for Neural Networks (Dropout, Early Stopping).mp4 (21.73 MB)
10 L1 and L2 Regularization.mp4 (6.67 MB)
11 Grief with Gradients The Vanishing Gradient problem.mp4 (10.65 MB)
12 The Confusion Matrix.mp4 (15.09 MB)
13 Precision, Recall, F1, AUC, and more.mp4 (19.96 MB)
14 Ensemble Methods Bagging and Boosting.mp4 (8.19 MB)
01 Introducing Amazon SageMaker.mp4 (31.26 MB)
03 Linear Learner in SageMaker.mp4 (26.47 MB)
04 XGBoost in SageMaker.mp4 (13.57 MB)
05 Seq2Seq in SageMaker.mp4 (11.44 MB)
06 DeepAR in SageMaker.mp4 (11.23 MB)
07 BlazingText in SageMaker.mp4 (15.46 MB)
08 Object2Vec in SageMaker.mp4 (32.98 MB)
09 Object Detection in SageMaker.mp4 (9.58 MB)
10 Image Classification in SageMaker.mp4 (7.98 MB)
11 Semantic Segmentation in SageMaker.mp4 (8.09 MB)
12 Random Cut Forest in SageMaker.mp4 (7.2 MB)
13 Neural Topic Model in SageMaker.mp4 (7.96 MB)
14 Latent Dirichlet Allocation (LDA) in SageMaker.mp4 (7.42 MB)
15 K-Nearest-Neighbors (KNN) in SageMaker.mp4 (11.93 MB)
16 K-Means Clustering in SageMaker.mp4 (12.13 MB)
17 Principal Component Analysis (PCA) in SageMaker.mp4 (17.7 MB)
18 Factorization Machines in SageMaker.mp4 (9.43 MB)
19 IP Insights in SageMaker.mp4 (6.9 MB)
20 Reinforcement Learning in SageMaker.mp4 (56.09 MB)
21 Automatic Model Tuning.mp4 (14.78 MB)
22 Apache Spark with SageMaker.mp4 (11.02 MB)
23 SageMaker Studio, and SageMaker Experiments.mp4 (6.08 MB)
24 SageMaker Debugger.mp4 (13.72 MB)
25 SageMaker Autopilot AutoML.mp4 (46.47 MB)
26 SageMaker Model Monitor.mp4 (13.27 MB)
27 Deployment Guardrails and Shadow Tests.mp4 (7.9 MB)
29 SageMaker Canvas.mp4 (85.81 MB)
30 Bias Measures in SageMaker Clarify.mp4 (12.18 MB)
31 SageMaker Training Compiler.mp4 (6.49 MB)
32 SageMaker Feature Store.mp4 (9.01 MB)
33 SageMaker ML Lineage Tracking.mp4 (7.59 MB)
34 SageMaker Data Wrangler.mp4 (16.03 MB)
35 Demo SageMaker Studio, Canvas, and Data Wrangler.mp4 (161.97 MB)
01 Amazon Comprehend.mp4 (15.59 MB)
02 Amazon Translate.mp4 (4.37 MB)
03 Amazon Transcribe.mp4 (20.22 MB)
04 Amazon Polly.mp4 (18.14 MB)
05 Amazon Rekognition.mp4 (26.41 MB)
06 Amazon Forecast.mp4 (4.7 MB)
07 Amazon Forecast Algorithms.mp4 (5.57 MB)
08 Amazon Lex.mp4 (11.53 MB)
09 Amazon Personalize.mp4 (51.02 MB)
10 Lightning round! TexTract, DeepRacer, Lookout, and Monitron.mp4 (10.52 MB)
11 TorchServe, AWS Neuron, and AWS Panorama.mp4 (7.63 MB)
12 Deep Composer, Fraud Detection, CodeGuru, and Contact Lens.mp4 (11.86 MB)
13 Amazon Kendra and Amazon Augmented AI (A2I).mp4 (6.69 MB)
01 Putting them All Together.mp4 (4.92 MB)
02 Lab Tuning a Convolutional Neural Network on EC2, Part 1.mp4 (77.66 MB)
03 Lab Tuning a Convolutional Neural Network on EC2, Part 2.mp4 (76.04 MB)
04 Lab Tuning a Convolutional Neural Network on EC2, Part 3.mp4 (43.75 MB)
01 Section Intro Machine Learning Implementation and Operations.mp4 (19.8 MB)
02 SageMaker's Inner Details and Production Variants.mp4 (46.81 MB)
03 SageMaker On the Edge SageMaker Neo and IoT Greengrass.mp4 (12.1 MB)
04 SageMaker Security Encryption at Rest and In Transit.mp4 (14.29 MB)
05 SageMaker Security VPC's, IAM, Logging, and Monitoring.mp4 (9.84 MB)
06 SageMaker Resource Management Instance Types and Spot Training.mp4 (6.31 MB)
07 SageMaker Resource Management Automatic Scaling, AZ's.mp4 (7.33 MB)
08 SageMaker Serverless Inference and Inference Recommender.mp4 (10.91 MB)
09 SageMaker Inference Pipelines.mp4 (5.46 MB)
10 MLOps with SageMaker, Kubernetes, SageMaker Projects, and SageMaker Pipelines.mp4 (13.65 MB)
11 Lab Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 1.mp4 (25.77 MB)
12 Lab Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 2.mp4 (30.72 MB)
13 Lab Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 3.mp4 (86.99 MB)
02 The Transformer Architecture.mp4 (19.57 MB)
03 Self-Attention and Attention-based Neural Networks in Depth.mp4 (18.7 MB)
04 Applications of Transformers (such as GPT-4 and ChatGPT).mp4 (9.79 MB)
05 Generative Pre-Trained Transformers (GPT) in Depth How They Work, Part 1.mp4 (30.87 MB)
06 Generative Pre-Trained Transformers (GPT) in Depth How They Work, Part 2.mp4 (4.82 MB)
07 Fine-Tuning Transfer Learning with GPT and Transformers.mp4 (6.68 MB)
08 Lab Tokenization and Positional Encoding with SageMaker Notebooks + Huggingface.mp4 (68.34 MB)
09 Lab Multi-Headed, Masked Self-Attention in Sagemaker and Huggingface.mp4 (15.29 MB)
10 Lab Using GPT within a SageMaker Notebook.mp4 (55.86 MB)
11 AWS Foundation Models and Amazon SageMaker JumpStart with Generative AI.mp4 (28.31 MB)
12 Lab Using Amazon SageMaker JumpStart to load and use GPT from HuggingFace.mp4 (170.11 MB)
13 Building Generative AI with Amazon Bedrock and Foundation Models.mp4 (25.13 MB)
14 Lab Chat, Text, and Image Foundation Models in the Bedrock Playground.mp4 (73.36 MB)
15 Amazon Q Developer (formerly CodeWhisperer).mp4 (13.76 MB)
16 AWS HealthScribe - AI-generated clinical notes from consultation transcriptions.mp4 (6.48 MB)
01 Section Intro Wrapping Up.mp4 (6.9 MB)
02 More Preparation Resources.mp4 (11.92 MB)
03 Test-Taking Strategies, and What to Expect.mp4 (35.02 MB)
04 You Made It!.mp4 (13.25 MB)
05 Exam Walkthrough and Signup.mp4 (29.77 MB)
06 Save 50% on your AWS Exam Cost!.mp4 (3.53 MB)
07 Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only.mp4 (3.59 MB)
08 AWS Certification Paths.mp4 (14.59 MB)
09 Congratulations.mp4 (20.62 MB)]
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  Future-Proof Your Mainframes With Ai/Ml
Posted by: AD-TEAM - Yesterday, 02:32 PM - Forum: Video Tutorials - No Replies

[Image: f4d8fc4d86c182ac21abd47dd0975f0f.jpg]
Future-Proof Your Mainframes With Ai/Ml
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.56 GB | Duration: 5h 58m

Introduction to AI/ML for Mainframe Professionals: Basics of AI/ML and Their Relevance to Mainframe Environments

[b]What you'll learn[/b]

Foundational Understanding of AI/ML Concepts

Awareness of AI/ML's Relevance to Mainframes

Practical Knowledge of Tools and Frameworks

Data Preparation Skills

Strategic Implementation Framework

Business Communication and Stakeholder Alignment

Common Challenges and Best Practices

Foundations for Continuous Learning

[b]Requirements[/b]

This course is not for beginners. This course is for a specific audience, including IT professionals responsible for overseeing and maintaining large-scale mainframe environments in industries like finance, government, and telecommunications.

[b]Description[/b]

Future-Proof Your Mainframes with AI/MLUnlock the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) in mainframe environments with our comprehensive online course, Future-Proof Your Mainframes with AI/ML. This course is designed for IT professionals, mainframe managers, and data scientists eager to modernize enterprise systems by integrating cutting-edge AI/ML solutions.Mainframes are the backbone of critical operations in industries like banking, healthcare, and logistics. However, as organizations strive to harness the power of AI/ML, bridging the gap between legacy systems and modern technologies is crucial. This course equips you with the knowledge and practical skills to make this transition seamless.What You'll Learn:The Foundations of AI/ML in Mainframes: Understand the role of AI/ML in enhancing mainframe operations, from predictive maintenance to real-time fraud detection.Building AI/ML Models: Learn step-by-step how to design, train, and validate models tailored for mainframe data.Hybrid Cloud Integration: Explore hybrid cloud architectures to scale AI/ML solutions while maintaining the reliability of mainframes.Automation and Optimization: Discover how AI/ML automates workflows, improves efficiency, and drives innovation.Best Practices for Deployment and Maintenance: Ensure smooth implementation with robust monitoring, retraining, and continuous improvement strategies.Course Highlights:This course combines interactive video lectures, real-world case studies, and practical exercises to help you master the integration of AI/ML with mainframe systems. You'll also gain exclusive access to companion materials from our book, Future-Proof Your Mainframes with AI/ML. This book complements the course by providing in-depth explanations, additional resources, and step-by-step guides for hands-on projects.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Module 1: Understanding AI/ML Fundamentals

Lecture 2 Lesson 1: What is Artificial Intelligence?

Lecture 3 Lesson 2: What is Machine Learning?

Lecture 4 Lesson 3: Types of Machine Learning: An Overview

Lecture 5 Lesson 4: The AI/ML Workflow: How It Works

Section 3: Module 2: Exploring the Role of AI/ML in Mainframes

Lecture 6 Lesson 1: AI/ML Applications in Enterprise Systems

Lecture 7 Lesson 2: AI/ML Use Cases for Mainframes

Lecture 8 Lesson 3: Business Benefits of AI/ML Integration

Section 4: Module 3: Assessing Your Mainframe Environment

Lecture 9 Lesson 1: Conducting a Mainframe System Audit

Lecture 10 Lesson 2: Defining Your Modernization Goals

Lecture 11 Lesson 3: Creating a Strategic Roadmap

Section 5: Module 4: Preparing Data for AI/ML Integration

Lecture 12 Lesson 1: Understanding Mainframe Data

Lecture 13 Lesson 2: Data Extraction and Transformation

Lecture 14 Lesson 3: Ensuring Data Security and Compliance

Lecture 15 Lesson 4: Addressing Data Quality Issues

Section 6: Module 5: Selecting Tools and Frameworks for Integration

Lecture 16 Lesson 1: Overview of AI/ML Tools for Mainframes

Lecture 17 Lesson 2: Using APIs and Middleware for Integration

Lecture 18 Lesson 3: Hybrid Cloud Options for AI/ML

Section 7: Module 6: Building and Testing AI/ML Models

Lecture 19 Lesson 1: Developing Your First AI/ML Model

Lecture 20 Lesson 2: Training and Validating the Model

Lecture 21 Lesson 3: Testing AI/ML Models in a Controlled Environment

Section 8: Module 7: Implementing AI/ML in Mainframe Operations

Lecture 22 Lesson 1: Scaling AI/ML Solutions

Lecture 23 Lesson 2: Automating Workflows with AI/ML

Lecture 24 Lesson 3: Best Practices for Deployment

Section 9: Module 8: Monitoring, Maintenance, and Continuous Improvement

Lecture 25 Lesson 1: Monitoring AI/ML-Integrated Systems

Lecture 26 Lesson 2: Retraining AI/ML Models

Lecture 27 Lesson 3: Continuous Optimization

Lecture 28 Lesson 4: Looking Ahead: The Future of Mainframes and AI/ML

Target audience would include: Mainframe Systems Managers, IT Infrastructure Directors/Leads, Cloud & DevOps Managers, Technical Support Engineers, and Developers & Programmers.

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  Mastering Indian Digital Personal Data Protection (Dpdp) Act
Posted by: AD-TEAM - Yesterday, 02:31 PM - Forum: Video Tutorials - No Replies

[Image: 221f3931792a5b148c70bde26271cae6.jpg]
Mastering Indian Digital Personal Data Protection (Dpdp) Act
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.08 GB | Duration: 2h 37m

A Comprehensive Guide to Understanding, Implementing, and Complying with the DPDP Act for Data Privacy and Protection.

[b]What you'll learn[/b]

Comprehensive Understanding of the DPDP Act

Understanding Rights of Data Principals and Duties of Data Fiduciaries

Compliance Requirements and Best Practices

Managing Data Breaches

Penalties, Enforcement, and Avoiding Non-Compliance

[b]Requirements[/b]

Basic Understanding of Cyber Security Concepts

Familiarity with Data Privacy Concepts

[b]Description[/b]

This course provides an in-depth exploration of the Indian Digital Personal Data Protection (DPDP) Act, designed to equip you with a comprehensive understanding of its provisions, principles, and compliance requirements. Through this course, you'll learn about the core aspects of data privacy, the rights of data principals, the duties of data fiduciaries, and the role of the Data Protection Board. With practical examples, you'll gain the knowledge to navigate the complexities of the DPDP Act and ensure compliance for yourself or your organization.Course Objectives:Gain a thorough understanding of the key provisions and principles of the DPDP Act.Learn the rights and duties of data principals and how to implement them in practice.Explore the obligations of data fiduciaries and how to manage compliance effectively.Understand the role of the Data Protection Board and how grievances are addressed.Learn how to implement data protection measures and safeguard personal data across various operations.Understand the penalties for non-compliance and how to avoid them.Master the practical steps and strategies for achieving full compliance with the DPDP Act in your organization.Gain insights into cross-border data transfer requirements and how to ensure compliance when processing data outside India.Learn about the special provisions for children's data and how to handle sensitive data in compliance with the DPDP Act.

Overview

Section 1: Introduction to Digital Personal Data Protection (DPDP) Act

Lecture 1 Basics of Data Privacy

Lecture 2 Overview of Global Data Protection Laws

Lecture 3 Overview of Indian DPDP Act

Lecture 4 Key Principles of the DPDP Act

Section 2: Data Principal Rights and Duties

Lecture 5 Data Principal Rights

Lecture 6 Data Principal Duties

Section 3: Data Fiduciaries

Lecture 7 Obligations of Data Fiduciaries

Lecture 8 Significant Data Fiduciaries

Section 4: Consent Manager

Lecture 9 Roles & Responsibilities of Consent Manager

Section 5: Data Protection Board of India

Lecture 10 Composition of the Board

Lecture 11 Roles & Responsibilities

Lecture 12 Grievance Redressal and Dispute Resolution

Section 6: Special Provisions

Lecture 13 Processing of Personal Data of Children

Lecture 14 Processing of Personal Data Outside India

Section 7: Grievance Redressal

Lecture 15 Grievance redressal Mechanisms

Section 8: Penalties under DPDP Act

Lecture 16 Provisions of Penalty

Section 9: Compliance against DPDP Act

Lecture 17 Step by Step Guide to Comply with DPDP Act

Data Privacy Professionals,IT and Cybersecurity Professionals,Legal and Regulatory Professionals,Business Leaders and Managers

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  10 Amazing AI Photo Editing Tools
Posted by: AD-TEAM - Yesterday, 02:30 PM - Forum: Video Tutorials - No Replies

[Image: 537368816_que-es-udemy-analisis-opiniones.jpg]
2.04 GB | 9min 37s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Introduction to the Course - Some Important Points.mp4 (98.1 MB)
1 -How to Create AI Variations From a Single Real Shot.mp4 (118.35 MB)
2 -How to Place Your Own Product Into the AI Shot Using Photoshop AI.mp4 (77.02 MB)
1 -How to Turn Real Life Images Into Paintings Using AI.mp4 (90.28 MB)
1 -How to Change the Hairstyle in a Portrait.mp4 (56.24 MB)
1 -How to Make Body Muscular Using AI.mp4 (46.29 MB)
1 -How to Alter the Physique Using AI.mp4 (47.74 MB)
2 -How to the Make the Results Look Realistic Using Photoshop.mp4 (45.52 MB)
1 -How to Restore and Colorize Old Photos.mp4 (58.58 MB)
1 -How to do a Virtual Photo Shoot and Create Multiple Variations From a Portrait.mp4 (157.85 MB)
1 -How to Create Real Looking Professional Headshots.mp4 (26.83 MB)
1 -How to Swap Your Own Clothes on a Model - Part 1.mp4 (101.42 MB)
2 -How to Swap Your Own Clothes on a Model - Part 2.mp4 (61.01 MB)
1 -How to Change the Direction of the Eyes in a Portrait.mp4 (28.4 MB)
1 -How to Get Photoshop Which Has the Latest AI Features.mp4 (20.1 MB)
2 -Using AI Generative Fill to Magically Transform a Landscape Shot.mp4 (159.43 MB)
3 -Using AI Generative Expand and AI Based Selection Tools to Edit a Portrait.mp4 (43.95 MB)
1 -Introduction to Replace Anything AI - How it Works.mp4 (39.67 MB)
2 -Creating a Professional Product Photo Using a Real Life Product.mp4 (43.97 MB)
3 -Upscaling the Image Using AI.mp4 (43.23 MB)
4 -Replacing Clothes in a Portrait by Using Replace Anything AI and Photoshop.mp4 (77.41 MB)
1 -Creating a Professional Headshot From a Casual Selfie Using AI.mp4 (74.12 MB)
1 -Removing the Background in a Portrait With a Single Click Using AI.mp4 (85.18 MB)
1 -Changing Clothes Using AI Simply by Writing Prompts.mp4 (84.97 MB)
1 -Changing Lighting by Adding AI Virtual Lights in a Studio Portrait.mp4 (111.7 MB)
1 -Fixing Blurry Photos With a Single Click Using AI.mp4 (56.22 MB)
1 -Turn Yourself Into Different Characters With a Single Click.mp4 (100.89 MB)
2 -Examples of Output With Different Portraits.mp4 (71.69 MB)]
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  Mastering AZ800 Administering Windows Server Hybrid Core
Posted by: AD-TEAM - Yesterday, 02:28 PM - Forum: Video Tutorials - No Replies

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Mastering AZ-800 Administering Windows Server Hybrid Core
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.27 GB | Duration: 3h 19m

Comprehensive Guide to Pass the AZ-800 Certification Exam

What you'll learn
Installation, configuration, and management of Windows Server Hybrid Core environments.
Implementing and managing virtualization, storage solutions, and network infrastructure.
Advanced features of Windows Server Hybrid Core, including security, high availability, and disaster recovery.
Practical skills through hands-on labs and real-world scenarios.

Requirements
Basic understanding of networking concepts.
Familiarity with Windows Server operating systems.
Access to a computer with internet connectivity for hands-on labs.

Description
Mastering AZ-800 Administering Windows Server Hybrid Core is designed to provide you with the knowledge and skills required to pass the AZ-800 certification exam. This course covers all the essential topics and practical applications needed to administer Windows Server Hybrid Core environments effectively.In this course, you will delve into the core concepts of Windows Server Hybrid Core, including installation, configuration, and management of on-premises and hybrid solutions. You will learn how to implement and manage advanced features such as virtualization, storage solutions, and network infrastructure.Our curriculum includes hands-on labs and real-world scenarios to ensure that you can apply what you've learned in a practical setting. By the end of this course, you will have a deep understanding of Windows Server Hybrid Core and be well-prepared to tackle the AZ-800 certification exam.This course is perfect for IT professionals looking to advance their careers by gaining a certification that demonstrates their expertise in Windows Server Hybrid Core. Whether you are new to Windows Server or looking to upgrade your skills, this course will provide you with the comprehensive training needed to succeed.What students will learn in your course?Installation, configuration, and management of Windows Server Hybrid Core environments.Implementing and managing virtualization, storage solutions, and network infrastructure.Advanced features of Windows Server Hybrid Core, including security, high availability, and disaster recovery.Practical skills through hands-on labs and real-world scenarios.Requirements or prerequisites to take your course?Basic understanding of networking concepts.Familiarity with Windows Server operating systems.Access to a computer with internet connectivity for hands-on labs.Who is this course for?IT professionals seeking to gain expertise in administering Windows Server Hybrid Core environments.Individuals preparing for the AZ-800 certification exam.Network and system administrators looking to enhance their skills and career prospects.Anyone interested in learning about Windows Server Hybrid Core and its advanced features.

IT professionals seeking to gain expertise in administering Windows Server Hybrid Core environments.,Individuals preparing for the AZ-800 certification exam.,Network and system administrators looking to enhance their skills and career prospects.,Anyone interested in learning about Windows Server Hybrid Core and its advanced features.

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  Apache Hadoop YARN Concepts to Practical Implementation
Posted by: AD-TEAM - Yesterday, 02:27 PM - Forum: Video Tutorials - No Replies

[Image: 537368816_que-es-udemy-analisis-opiniones.jpg]
1.03 GB | 11min 28s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Introduction to Apache Hadoop YARN Rationale.mp4 (50.83 MB)
2 -Hadoop Shared Compute Cluster.mp4 (51.4 MB)
1 -Core Concepts.mp4 (35.7 MB)
2 -Hadoop MapReduce 2 0 Architecture.mp4 (55.01 MB)
3 -Classic MapReduce vs YARN.mp4 (45.67 MB)
4 -Yarn Defined.mp4 (59.74 MB)
5 -Yarn Working.mp4 (72.57 MB)
6 -Yarn Functional Components.mp4 (58.02 MB)
7 -Yarn Functional - Node Manager.mp4 (50.9 MB)
8 -Apache Hadoop YARN Architecture Guide.mp4 (88.66 MB)
1 -Hadoop Yarn Installation.mp4 (52.97 MB)
2 -Edit and Update OS Configuration Files.mp4 (56.37 MB)
3 -Hadoop and Update Hadoop - env sh.mp4 (46.73 MB)
4 -Checking Running Status.mp4 (46.49 MB)
5 -Running Example in Pseudeo - Distributed Mode.mp4 (38.76 MB)
6 -Executing Commands.mp4 (51.83 MB)
7 -Require Software.mp4 (87.45 MB)
8 -Terminal.mp4 (102.41 MB)]
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