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Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Explore endless possibilities and achieve tangible results with our wide range of online courses, prepared to suit every interest and skill level. Each course is thoughtfully designed for flexibility and useful application, ensuring you can learn and grow at your own pace from anywhere and transform your talents to accomplish your goals.  Whether you're advancing your career, pursuing a passion, or seeking new opportunities, our courses will assist you in reaching your goals. Join us today and take the next step in your personal and professional journey with confidence and convenience. Start shaping your future now.  This 20-in-1 Ultimate Private Investigator bundle consists of the following Courses: Course 01: Criminal Law Course 02: Paralegal Training Course 03: Cyber Security Law Course 04: GDPR Course 05: Criminal Intelligence Analyst Course 06: Forensic Science and Law Enforcement Criminal Profiling Course 07: Criminal Psychology and Profiling Course 08: Criminal Investigator Course 09: Crime Analysis Online Course Course 10: Criminal Psychology - Confession & Interrogation Course 11: Human Rights Course 12: UK Employment Law Course 13: Preventing Radicalisation and Extremism Course 14: Verification of Death Course 15: Financial Crime Officer Course 16: Financial Crime Manager Course 17: Forensic Accounting Course Course 18: Finance: Financial Investigator Course 19: Anti-Money Laundering (AML) and Financial Crime Course 20: International Law and Human Rights Additionally, you will get 5 other career-guided courses in this Private Investigator bundle: Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Course 04: Video Job Interview for Job Seekers Course 05: Create a Professional LinkedIn Profile So, stop scrolling down and procure the skills and aptitude with Apex Learning to outshine all your peers by enrolling in this Private Investigator bundle. Learning Outcomes of Private Investigator Bundle This career-oriented Private Investigator bundle will help you to Gain the ability to excel in the role of Private Investigator Know your responsibilities as a Private Investigator and convey your experience to others Gain excellent interpersonal and communication skills Know the pros and cons of working as a Private Investigator Adhere to the regulations around this area Gain time and risk management skills to ensure efficiency Manipulate technological advancement to become more effective Maintain moral standards and set an example for your peers CPD 250 CPD hours/points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Private Investigator bundle. Requirements This Private Investigator course has been designed to be fully compatible with tablets and smartphones. Career path Having this Private Investigator will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificate for the title course (Criminal Law) for absolutely free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

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Having difficulty implementing '5S'? This workshop focuses on how to make '5S' meaningful to people, and how to link it with company goals. “5S, that’s just all about keeping things organized and tidy, isn’t it? Or maybe you have heard someone say: “Why make a big deal out of cleaning up?” But 5S is not really about the aesthetics of the work place, or even about the efficiency gains you will achieve (typically, 10% to 30% can be easily achieved). The real benefit of 5S is the introduction of standardised operational practices to ensure efficient, ergonomic, repeatable, safe ways of working. This brings many benefits: higher quality, lower costs, reliable deliveries, increased morale, and improved safety … to name but a few. It will also result in a highly visual workplace which contributes to achieving one of the most important results of 5S : making problems immediately obvious. 5S works by helping the team eliminate the seven wastes of lean manufacturing: Waste in Transport, Inventory, Motion, Waiting, Over-processing, Overproduction, and Defects.It is therefore one of the most powerful Lean Tools, and provides a stable foundation upon which to build all of your other improvement programs, Lean Tools and Practices. It is also one of the simplest to implement, and can be applied within your manufacturing environment, office processes or even within a service industry. 5S is a team approach and requires the participation of everyone within the area in which it is applied to be effective. Structure of the Course This one day course will provide you with a comprehensive overview of the 5S Process and how you can implement it to your organization. It's approach is based on the experienced gained by implementing '5S' in many organizations. It focuses on highlighting what makes '5S' programmes fail, how to engage your personnel in defining and deploying your '5S' strategy, and how to sustain it over time. This workshop looks at '5S' as an integral part of your day to day operational management system, rather than an activity to be managed as a stand alone project. Who Would Benefit from this 8D Approach? Owner-managers, managers at all levels in the organisation, especially team leaders, supervisors and middle managers. Delivery The workshop is delivered through virtual tutor-led live classes. Cost £200 + VAT Booking terms and conditions If you are unable to attend, please let us know 2 weeks in advance of start date. Refunds will be considered on an individual basis. Failure to attend will still require full payment. Ticket fee provides online access for one person only connected from one device. In-House Option This workshop can also be delivered in-house as a stand-alone training workshop or integrated into wider improvement activities. In-house training also provides the opportunity to tailor training to the specific needs of your organization and use an actual problem to demonstrate the methodology. Contact us for bespoke pricing at compete@cforc.org We will be happy to discuss Problem Solving in the context of your own business needs. If you are not yet a member but are already thinking about joining CforC, you can find more information on how to become a member and the benefits by clicking here.

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